Blockchain Transactions Network Ecosystem

2.0 LPBI, Strategy #2: Blockchain Transactions Network Ecosystem

Strategy Selection: Aviva Lev-Ari, PhD, RN

Blockchain Infrastructure – The PLATFORM to sell Journal Articles, e-Books, e–Proceedings & Tweet Collections and Biological Images

UPDATED ON 5/22/2023

Knowledge Graphs – The Future of Data Integration

Posted by Greg West on Aug 9, 2022 9:17:00 AM

Corporate CIOs make dozens of critical decisions every day, and while many will be made with instinct and experience others will depend on deep insight built on data analysis. These decisions not only affect company strategy and outlook, but require asking and answering unforeseen and complex – read computationally and logistically expensive – questions in rapidly evolving data ecosystems. So what’s the solution to maintaining a data-driven corporate strategy with an ever changing data environment?

The solution will need the ability to answer complex unanticipated questions and create an accurate connected model that supports the query of combined data from a diverse and changing collections of enterprise and publicly available sources. There has been a push for several architectures to ensure these qualities, at the moment data mesh and data fabric are the two most popular.

At Cambridge Semantics, we don’t care what you want to call your preferred architecture, but our team does have strong opinions on its implementation. Our stipulation is simple:

Any approach that can’t quickly integrate multiple data sources spanning both structured and unstructured content and rapidly query across them at scale is fundamentally flawed.

What is your best data architecture option? Let’s consider a few alternatives, each of which might be considered politically safe but carries the baggage of substantial limitations.

Structured

Data warehouses and online analytical processing (OLAP) cubes are the old school approach in the reporting and analytical querying world. They rely on established technologies that have been refined over decades. The downside is the infamous inflexibility and high costs of a methodology that requires pre-defining a data schema. Changes require involvement of experts who must create or modify the ETL pipelines or ELT transformations that shape the data to the updated model.

Furthermore, structured systems cannot natively integrate the estimated 80% of existing enterprise data that is unstructured: text and images in documents, emails, product catalogs, instant messages, transcriptions and presentations. While this approach lacks flexibility, it is tailor made for reporting and analysis on a prescribed set of metrics.

Data Virtualization

Data virtualization attempts to overcome many of the challenges with the management of a data warehouse by leaving source data in the operational systems where it is first created. Source data can be directly queried in a pattern called a “federated query”. Proceed with caution, as the details may quickly get thorny. Virtualization can create significant additional performance overhead resulting in latency caused by suboptimal federated sub-queries that drag too much intermediate result data across the network unnecessarily. Decision making and analytic queries generate large scans and cross joins of data which are hard to optimize even when accumulated into a single database, let alone located all over an enterprise.

To be successful this approach requires careful query planning that is optimized only through an understanding of the remote source statistics, management of network load and tactical caching. Unforeseen queries can result in major performance degradation which may upset operational source system administrators and application end users. Another problem that can be harder to deal with in a federated approach is how to deal with data quality issues in the remote systems requiring on-the-fly transformation and validation. On the other hand, data virtualization sometimes provides a straightforward way for applications that make point queries to unite the latest data from several source systems and can solve social issues surrounding data ownership and security.

Graph Databases

Some graph databases are great! Our product, Anzo®, actually includes its own proprietary graph database, AnzoGraph DB, at the heart of its software package. More on this in a second. What many other graph database vendors often obscure is that their underlying design has the same drawbacks of a structured and/or data virtualization approach. There is no other graph database that is OLAP (data warehouse style) in nature – meaning that it is optimized for complex transformation and analytics queries at huge scale.

At best, a few other graph databases will allow for the creation of virtual graphs that push down queries to source systems with the same underlying virtualization complexities discussed earlier. Furthermore, many of these graph databases are based on label property graphs (LPGs). This is a topic by itself, but LPGs usually require users to pre-create a schema in which to receive the incoming data with the aforementioned flexibility limitations of a relational database when any changes are required or a new data source is added. Most are really a destination for data that has been pre-integrated using external pipelines and therefore best for point use cases and applications that utilize the inherent graph structure such as network analysis or fraud detection.

Now nearly any approach to data integration can succeed to a certain extent given enough time plus resources, and there is certainly considerable nuance to the descriptions, but there is a better design – the enterprise knowledge graph.

Cambridge Semantics flagship offering Anzo generates an enterprise knowledge graph that renders these legacy approaches obsolete. Anzo excels at both critical parameters: rapid data integration of diverse data sources and query at scale. Let’s circle back and discuss the technical underpinnings of Anzo and its embedded knowledge graph database, AnzoGraph.

Uniquely, AnzoGraph is an in-memory OLAP graph database which has significant advantages over relational data warehouses because it is essentially schemaless with regard to incoming data structure. Instead, Anzo automatically generates and catalogs the instructions for creating connected data models from source data. This includes unstructured data, Anzo offers distributed pipelines that connect with natural language processing (NLP) services to natively handle these formats and their content. This approach is beneficial for manipulating the data model, and the data itself. In the Knowledge Graph world ontologies are used to describe data instead of schema and since these are just descriptive metadata themselves, they can be easily manipulated through queries and offer unprecedented flexibility for a data engineer performing an integration. This also means that regardless of the shape, complexity, or dirtiness of source data it can be loaded sight unseen and then restructured and cleansed using powerful transformation queries.

This late binding approach is possible because from a performance perspective, AnzoGraph scales both without limit and abstracts the complexities of data virtualization. AnzoGraph does this through the utilization of a massively parallel processing (MPP) architecture which partitions all the data across a compute cluster and breaks incoming queries down into steps that are executed simultaneously on every data partition or shard at the same time. Not only that, but AnzoGraph also supports a federated query capability which we call Virtual Knowledge Graphs. What this means is that our customers get the benefit of the approaches mentioned above in one system because users can create a knowledge graph that mixes and matches data that is materialized (loaded) as well as remotely sourced. When performance is needed for aggregation or transformation queries, that data is materialized into the knowledge graph. Remotely sourcing data through automatically generated push-down queries is useful when accessing part of the knowledge graph remotely, perhaps to retrieve the most up-to-date information.

SOURCE

From: Nick Crispinelli <nicholas.crispinelli@cambridgesemantics.com>
Date: Monday, May 22, 2023 at 7:45 AM
To: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu>
Subject: Re: siloed data – integrated, understood and accessed

UPDATED ON 10/12/2022

Mission #2:

Blockchain IT and NLP Processing API generating NLP visualization products using Knowledge Graphs stored in Graph Databases on the Blockchain IT to be design for Content monetization use with unique infrastructures for B2B and B2C.

1.0 LPBI was Open Access and Equity Sharing e-Scientific Publisher using a Cloud-based Authoring platform

2.0 LPBI will be focusing on Content Monetization and user of multiple software technologies unique for each of the its Missions: #1, #2, #3, #4.

The Open Access status will change when we will migrate all the four classes of content relevant for Text Analysis with NLP to the Blockchain Transactions Network. IT platform is currently under design.

Scenario from the End User Perspective

Interested parties posing queries to the system (B2C)
System responds by triggering a Recommendation Engine Response (RER) that will fetch: top articles by views
If the article was published in a book THEN the selected Article in the context of all articles in same chapter in the book it was featured will form the article collection for NLP performance.
If article not in a book then in the context of other articles in same categories of research, ones selected by the recommendation engine and ranked by views.
Biological images in these articles will be displayed
NLP results in visual graphics will be displayed
Major Data Science procedures in the back-end are using graph databases for on the Fly generation of NLP results not performed before, thus, not stored in the knowledge graph databases
Domain Knowledge Expert interpretation of the graphics available for selection in several Foreign languages presented in the front-end.
System invokes Blockchain features embedded per LPBI specifications into the API layer(s) of the Blockchain Transactions Network for its cardinal technology features: i.e.,

Permissions
Immutable LEDGER
Smart Contracts
Cyber security of IP assets in blocks

Full feature operations of the Blockchain platform will enable

B2C – Digital Store on a Healthcare Digital Marketplace
B2B – Installation at Big Pharma, Healthcare Insurers and CRO

https://pharmaceuticalintelligence.com/blockchain-transactions-network/

In Mission #2: The Transactions-enabled blockchain platform for Content Monetization of IP assets embodies the development of a Blockchain information technology infrastructure that is transactions-enabled allowing payments for content digital products. On the blockchain we will store all the following Digital products.

All newly produced digital products by NLP serve as a compelling justification for the selection of Blockchain Transactions Network architecture as our IS/IT platform selected among other IT alternatives, using Knowledge Graph database the schema of which is derived from the Journal Ontology of 740 categories of research.

UPDATED ON 4/11/2022

Fluree CEO and the CEO of Semantic Arts – they give a great presentation that’s really worth watching:

https://www.youtube.com/watch?v=5sBwX_XZQzU

UPDATED ON 3/10/2022

Blockchain IT for content monetization using NFT Auctions:

B2C (digital content in Life Sciences & Medicine using Ontology searches) and
B2B (auction of drug molecules designed with software by LPBI Group team and by 3^rd parties)

UPDATED ON 2/17/2022

From: Aviva Lev-Ari <aviva.lev-ari@comcast.net>
Date: Thursday, February 17, 2022 at 2:52 PM
To: Erich Greenebaum <erich@prosperci.com>
Cc: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu>, “Dr. Stephen J. Williams” <sjwilliamspa@comcast.net>, “Ofer Markman, PhD” <oferm2020@gmail.com>, “John F. McCarthy” <jfmccarthy2@gmail.com>, George Gamota <gngamotajr.us@verizon.net>, “Shraga Rottem M.D., D.Sc.” <srottem.md@chdscreening.net>, George Gamota <gngamotajr.us@verizon.net>
Subject: Re: New from the Fluree team

Dear Erich,

We support your leadership for the selection of Fluree.com

They are aware and implement NLP interface

Cardano is preferred to LPBI as blockchain vs RMDS.com

Players may participate in multiple exchanges. Example:

If ALL OUR Spanish content in the New Genre e-Series will be NOT on Amazon.com THEN all the 18 books will be available for Cardano
The Tweet Collections can be Tested on RMDS.com – Dr. Liu’s Platform
The Journal ontology can be featured on BurstIQ.com

80% of the IP will be in the Knowledge Graph Database of Fluree and Cardano.

Please all comment

Thank you

Aviva Lev-Ari, PhD, RN

On Feb 17, 2022, at 9:08 AM, Erich Greenebaum <erich@prosperci.com> wrote:

Greetings All,

I wanted to call your attention to a big announcement from our friends at Fluree – their new “Nexus” cloud hosted platform.

This is relevant to us for a few reasons –

one it means that LPBI won’t have to host its own Fluree instances, and more importantly,
it will provide interoperability with other semantic web databases, like PubMed, etc.
Last, but most certainly not least, they have a Marketplace feature on the roadmap. I expect that marketplace to be fiat rather than crypto based, so it is not a direct path to NFTs, however Fluree can still serve as a datasource component for an NFT model.
There is active development of using Fluree as a “side chain” element with the Cardano layer-1 blockchain either in conjunction with IPFS or on its own. I remain convinced that a fiat based marketplace is critical in the near term for monetization of LPBI content.

In short, I believe this platform could address all of the underlying requirements for a marketplace built from knowledge graph data. I will inquire of my contacts there regarding the beta program, and get us signed up for it. It will be the ideal solution for Madison to work against as we get to that point.

Best Regards,

/eg

UPDATED ON 2/9/2022

I agree with Erich perspective regarding priority #1

ERICH’s Voice

My view continues to be that monihtazation of the LPBI content through NFT marketplaces is a forward looking opportunity beyond the horizon of your personal engagement in the effort. My recommendation continues to be that LPBI focus on multiplying the value of its content through evolving the information architecture into a modern knowledge graph format. As it stands today, the WordPress site is practically unusable for meaningful discovery or even browsing. Only through Google’s indexing efforts is any of this information ever discovered in the first place. LPBI needs to focus on improving discoverability and search utility to increase it’s immediate valuation.

AVIVA’s Voice

There is no contradiction to my views about

Coupling LPBI IP Assets designate for NFT auction

in the Future with

the Blockchain platform under design – 2.0 LPBI Mission #2

List of LPBI IP Assets designate for NFT auction includes the following IP Assets:

Journal articles – 1.0 LPBI: IP Asset Class I
Books – 1.0 LPBI: IP Asset Class II
Gallery of Biological images – 1.0 LPBI: IP Asset Class V
E-Proceedings and Tweet Collections – 1.0 LPBI: IP Asset III
Podcasts – 1.0 LPBI: IP Asset Class X
Spanish Contents – 2.0 LPBI Mission #3
Drug Molecules: LPBI’s Galectins and 3^rd parties – 2.0 LPBI Mission #4
NLP Products: 2.0 LPBI Mission #1, as described, below

AVIVA: STATE of STRATEGY for a LONGER TERM PLAN NOT AS PRIORITY #1: as defined by Erich

On the blockchain we intend to SELL each Plot: Hyper-graphs and Tree Diagrams
On the blockchain we intend to SELL each Interpretation like the two in Science Sidetoday
In a B2C Scenario: A knowledge worker type a query

Option 1: one article with most views on the topic is shown on the screen
Option 2: 12 top articles are fetched from the Journal archive ranked by views
Option 3: computer advise [Recommendation Engine] the knowledge worker: x articles in this 12 were published in the following books
Option 4: do you wish to see the NLP results of these articles in the context of the chapter they are included in the books?
Option 5: if yes, then Hyper-graph and Tree diagram stored in the DB is retrieved and appears on the screen
Option 6: do you wish to read the interpretation of the Domain Knowledge Expert for these graphs?
Option 7: if yes, Interpretation Box appears on the screen
Option 8: Knowledge worker wish to download to his computer Options 2,3,4,5,6,7,
Option 9: Price for Option 2 = $20, Option 3 = #40$ Option 4,5,6,7 =$35 each
Option 10: Form with itemized contents for a total of $200
Option 11: Credit card online payment
Option 12: all paid for items are downloaded to the B2C Knowledge worker CART
THAT IS A TRANSACTION OF CONTENT MONETIZATION recorded on the blockchain

ADVANTAGES TO HAVING THIS LONG TERM VISION IN THE CURRENT 2.0 LPBI Group’s Strategy regarding FEATURES in the Future PIPELINES

Marketing aspects related to 1.0 LPBI Portfolio of IP Asset Classes: I, II, III, V, X, see above

ALL of these DIGITAL Asset Classes are in 2022 only Brick and Mortar
It is ONLY the 2.0 LPBI Missions: #1,#2,#3,#4 that represent the translation of a Brick and Mortar business into a Cloud Cyber Software Business
That translation is presented in this link

NFT: Redefined Format of IP Assets

Curator: Aviva Lev-Ari, PhD, RN with inputs from Dr. Stephen J. Williams, PhD

Updated on 2/6/2022

https://pharmaceuticalintelligence.com/nft-redefined-format-of-ip-assets/

Digital Products UNLESS they embed the bleeding edge technological features: i.e., AI, ML, NLP, DL – they are perceived as generation 1st, 2nd, 3rd but not the LATEST in the marketplace
That is the reality of the FAST Obsolescence of high tech in the CYBER Era
On the ground of 2, above, I am justifying

Coupling LPBI IP Assets designate for NFT auction

in the Future with

the Blockchain platform under design – 2.0 LPBI Mission #2

4. For Transfer of Ownership of a Portfolio of 14 IP Asset Classes: See itemized inventory of IP:

https://pharmaceuticalintelligence.com/portfolio-of-ip-assets/

it is the future execution of 3, above that is prolonging the life line and is adding viability for a higher chance to sell the business given the demographical characteristics of 2.0 LPBI Team

CLAIMER:

Without NFT & Auctions in our VISION & in our Marketing communication materials the chances of selling the business will be significantly altered
On the meeting on Monday, 2/7/2022 with an Information syndicator, it was NLP that was of interest, next potential buyer will be attracted to the Auction feature of the NFT products
I would NEVER compare the market for Scientific Content with the Market for Popular Music or the market for Modern Art.

UPDATED ON 1/17/2022

Erich wrote:

The distinction, trying to summarize as best I can, is that taxonomies are a simple hierarchy where there is single kind of relationship between the entities, whereas ontologies represent a multidimensional set of relationships amongst entities/concepts. That is an oversimplification, but hopefully why you see how a simple hierarchy, like the WP category system, cannot represent a formal ontology. To really leverage i.e Wolfram NLP to enrich the sort of knowledge graph that can be exploited using ML/AI, we will need to create/leverage more formalized ontologies.

I found this article on the evolution and formalization of ontologies in biomedical sciences. I think it would be very useful for you to review it. It provides a far more explicit differentiation, describing a spectrum of categorization:

“Ontologies and taxonomies are in many ways similar — they describe types of things, and are arranged in a hierarchical structure. The way they differ is in their level of formality of their semantic relationships: taxonomies tend to relate classes using only is_a, e.g. kidney is_a organ is_a anatomical structure whereas ontologies use a more expressive set of pre-defined relationships such as part_of, develops_from. In fact, both systems of description might be thought of as being on a spectrum with increasingly strong semantics, from a collection of terms (tags) to enhance categorization (a ‘folksonomy’), through to an ontology which is a formal logical description of a domain with classes and relationships that operate between them”

As this all relates to Fluree, we can/will reflect the existing taxonomy as a knowledge graph, however its utility will be limited. Far better would be to establish a formalized ontology that can represent more complex relationships in the data and power more complex discovery and reasoning.

This is a good description of how ontologies relate to knowledge graphs. Hopefully you can see how formal ontologies relate to knowledge graphs – ontologies define the kinds of relationships within the data, and edges in the knowledge graph reflect those relationships in a database system.

Aviva wrote:

LPBI’s Journal with 6,200 article represent a subset of a FULLY BLOWN ONTOLOGY of the biological Sciences

The categories represent a taxonomy
Several categories, i.e., Cancer Biology and Frontiers in Cardiology – are full blown ontologies and few others
We NEED TO USE WHAT WE HAVE in the categories because LPBI is not able to continue at the pace of NEW article generation as in any time in the past
I will look at the two reference LINKs you provided
The Keywords Extractions from articles in the Books for NLP – THAT PROCESS was done so far for 2 books, another two are work in progress
MAX number of books for NLP will be N=6 not N=18 !!!
ALL 18 books use ~2,000 articles
Journal has 6,200 articles
Performance of NLP on EACH article is not recommended
Performance of NLP on EACH Category is the SECRET SAUCE of LPBI
Wolfram NLP Process we use involve MANUAL operations:

(1) produce a Merged File from a collection of articles:

1.1 all articles in a Book Chapter

1.2 all articles in a research category – the big ones have +500 articles

(2) MANUAL domain knowledge expert needs to INSPECT all keyword EXTRACTED and CLEAN the list for APPROVED LIST

(3) Production of Plots [Hypergraph, Tree Diagram] record APPROVED LIST inside the code for the PLOTS

These manual operations OPPOSE scaling which NLP on all articles in a research category – the big ones have +500 articles require

Thus, to extract the LPBI’s SECRET SAUSE – we need platforms like LINGUAMATICS and IBM WATSON

That is not on Aviva’s watch – ending on 4/30/2025.

Aviva WROTE:

At the beginning of every Chapter you will see graphics one hyper-graph plot and one Tree Diagram plot [split into several segment]

The title of the graph specifies the keywords that were extracted from the MERGED file of all the articles in this Chapter

These keywords require MANUAL culling into a subset that should serve as INPUT to the Plots
There keywords can be treated as tags
On the blockchain we intend to SELL each Plot
On the blockchain we intend to SELL each Interpretation like the last two slides in the attachment
In a B2C Scenario: A knowledge worker type a query

Option 1: one article with most views on the topic is shown on the screen
Option 2: 12 top articles are fetched from the Journal archive ranked by views
Option 3: computer advise [Recommendation Engine] the knowledge worker: x articles in this 12 were published in the following books
Option 4: do you wish to see the NLP results of these articles in the context of the chapter they are included in the books?
Option 5: if yes, then Hyper-graph and Tree diagram stored in the DB is retrieved and appears on the screen
Option 6: do you wish to read the interpretation of the Domain Knowledge Expert for these graphs?
Option 7: if yes, Interpretation Box appears on the screen
Option 8: Knowledge worker wish to download to his computer Options 2,3,4,5,6,7,
Option 9: Price for Option 2 = $20, Option 3 = #40$ Option 4,5,6,7 =$35 each
Option 10: Form with itemized contents for a total of $200
Option 11: Credit card online payment
Option 12: all paid for items are downloaded to the B2C Knowledge worker CART
THAT IS A TRANSACTION OF CONTNET MONETIZATION recorded on the blockchain

The keywords are relevant for Option 4, 5, above

Erich wrote:

All that said – I do not believe selling these outputs on the blockchain is a practical plan at this point. In short, people/organizations(b2b) consumers of this sort of data do not transact in crypto yet/today. This is a forward looking opportunity, but not practical from a business perspective now. That isn’t to say it shouldn’t be part of the plan, but I want to be realistic about the time horizon for such a market.

I have found a few examples of emerging platforms. I saw today that RMDS Labs has announced an NFT marketplace along these lines, but this is a nascent space. I think it makes great sense to make moves here, because it reflects innovation and good long term strategy, I just want you to be realistic about the timeline for it being a real revenue source.

Aviva says:

We need to have a Plan for Content Monetization

UPDATED ON 12/20/2021

From: Erich Greenebaum <erich@prosperci.com>
Date: Monday, December 20, 2021 at 1:06 PM
To: “Dr. Stephen J. Williams” <sjwilliamspa@comcast.net>
Cc: Aviva Lev-Ari <aviva.lev-ari@comcast.net>
Subject: Re: The NFT Market Is Already Centralized

Ethereum is the blockchain that most NFTs are minted on today, whereas marketplaces are services that facilitate discovery & transactions of those assets.

It gets more complicated because layer1 blockchains (like Ethereum, Cardano, Solana) can support NFTs & tokens “across chains,” meaning i.e. a transaction on Solana can happen using ETH (the ethereum token), or vice-versa. Likewise Marketplaces can support NFTs that are minted on different chains.

UPDATED ON 12/18/2021

From: Erich Greenebaum <erich@prosperci.com>
Date: Saturday, December 18, 2021 at 12:37 PM
To: Aviva Lev-Ari <aviva.lev-ari@comcast.net>

Subject: Re: The NFT Market Is Already Centralized

Dear Aviva,

I hope this note finds you feeling well.

OpenSea is the biggest market for NFTs presently, but it is a market mostly for artistic content – my research hasn’t turned up any IP-as-NFT there of the sort LPBI might contemplate, and generally I would see it as “off brand” for them to branch into this space, although obviously assumptions are dangerous. One reason I don’t see OpenSea moving in this direction is around discovery – in short, the sort of knowledge graph / semantic-web style methods of discovery suited to academic and/or patent style content or, especially, some of the more ambitious notions around “molecules as a service” being tossed around at LPBI. I expect to see more ambitious marketplaces in the future that leverage these approaches, but at preset OpenSea works more as a catalog of art collections.

It’s also important not to intermingle concepts too much here – Ethereum is the layer-1 blockchain/smart contract blockchain most of the OpenSea assets are built on, not a marketplace in its own right. Likewise, both Fluree and BurstIQ are database technologies built atop proprietary blockchains of their own, and so they are not analogous to either a marketplace like OpenSea, or a permissionless style layer-1 blockchain like Ethereum.

It’s worth noting that Fluree has recently entered into a project with folks in the Cardano blockchain space to serve as a “side chain” database of sorts. Cardano is a competing layer-1 technology developed by one of the original Ethereum developers. It has a longer opportunity horizon than Ethereum, but is built on what they claim is a far more rigorous, peer reviewed, methodology. I’ve also mentioned “The Graph” in the past as an “indexing layer” on top of blockchains, which is a powerful discovery mechanism working across chains.

Anyway, these things are not analogous, and as always, we need to separate concerns when architecting technology solutions – in our case, blockchain is a system of record to track provenance and change history, and facilitate the minting of assets as NFTS integrated with possible DAOs; knowledge graphs are systems for discovery and linked data; marketplaces facilitate transactions around those assets. Note that it may prove advantageous to be on multiple marketplaces.

I hope this provides some useful context.

Kind Regards,

Erich

On Dec 16, 2021, at 10:08 PM, Aviva Lev-Ari <aviva.lev-ari@comcast.net> wrote:

Please all review article, below

Please research OpenSea marketplace

How it would compare with BurstIQ, Fluree and Ethereum in terms of minimizing the utility LPBI Group’s IP Asset Classes of relevance to NFT status could enjoy for our Content monetization strategy using blockchain?

Please each form an idea on that matters for group discussion in our forthcoming • 2.0 LPBI’s Global Zoom Monthly Meeting in January 2022, date TBA

https://www.coindesk.com/tech/2021/10/18/the-nft-market-is-already-centralized/

The NFT Market Is Already Centralized

UPDATED ON 11/13/2021

IP-NFTs for Researchers: A New Biomedical Funding Paradigm

https://medium.com/molecule-blog/ip-nfts-for-researchers-a-new-biomedical-funding-paradigm-91312d8d92e6

CARDANO

Cardano is a blockchain platform for change makers, innovators, and visionaries, with the tools and technologies required to create possibility for the many, as well as the few, and bring about positive global change.

https://cardano.org/discover-cardano/

UPDATED ON 9/3/2021

From: Aviva Lev-Ari <avivalev-ari@alum.berkeley.edu>
Date: Wednesday, September 1, 2021 at 10:40 PM
To: Erich Greenebaum <erich@prosperci.com>, “Dr. Stephen J. Williams” <sjwilliamspa@comcast.net>, Sandra Batista <sandra.batista@lmu.edu>
Subject: Aviva’s THOUGHT following Erich’s Debriefing on Fluree Meeting, 9/1/2021

Dear All,

Great initiative by Erich to contact Fluree directly and explain

LPBI Data scope for the venture.

I have few questions to ask on Erich’s e-mail:

From: Erich Greenebaum <erich@prosperci.com>
Date: Wednesday, September 1, 2021 at 5:19 PM
To: Aviva Lev-Ari <AvivaLev-Ari@alum.berkeley.edu>, “Dr. Stephen J. Williams” <sjwilliamspa@comcast.net>, Sandra Batista <sandra.batista@lmu.edu>
Subject: Fluree Meeting

Greetings All

I had a very interesting meeting with Brian Platz, who is one of the co-founders of Fluree. Key take-aways:

The Fluree SPARQL interface doesn’t support the UPDATE function presently, so that will not be a direct interface for writing data into Fluree. Brian says several people have requested the feature, so it is on their roadmap.

That said, a function can be written in Wolfram to write data directly using JSON-LD, which Wolfram supports natively, so this is basically a non-issue.

Once the content is in Fluree, Wolfram would be able to READ data directly from it, which may be a powerful feature in its own right.

Very interestingly, they are working on a new “Data Hub” concept that holds exciting promise for LPBI – you can think of it as a GitHub for databases. Amongst other important features, it will be able to create RDF links between databases – so, for example, between LPBI data and PubMed, etc. He says this feature maybe in beta by the end of this quarter and we could be an ideal candidate project. I think this can be a very powerful feature for:

Enriching the LPBI knowledge graph with external sources

Powering discovery for the marketplace

Brian is very clued into the possibilities of monitoring the edge-space of the graph, which is a key value proposition to come out of this project/system.

In short, they are interested in collaborating, although they won’t have programming resources to directly apply to the work. That said, having established a relationship with Brian, I’m sure we will get good support from their team on Slack, etc, for our efforts.

Dr. Batista – I will work on a more complete list of skills for recruiting students – one key aspect of Fluree is that it uses the Clojure programming language (which is a Lisp analog) for the “smart function” piece. I doubt this will be a key driver for our initial efforts, because these functions are mostly about governing data access and transactions (which will be important as we develop the marketplace features in the future), but anyone with Lisp or Clojure experience would be a welcome addition to the team.

Also, based on the discovery about SPARQL updates – someone with familiarity with both wolfram and JSON-LD would be ideal.

Finally, familiarity with beset practices around CI/CD workflows, GitHub, etc will be helpful in terms of managing code and iterative deployment.

I’ll look forward to more discussions next week.

Best Regards,

Erich

This Project has the following core parts:

Core Part 1: The archive of 6,080 articles

This archive hosts all the articles in 18 Books ~2,000, namely,
This archive hosts all the articles NOT in books ~ 4,000
100 volumes of e-Proceedings a Tweet Collections
In this archive – each article has 1 to n Biological Images with English Text as Legend(s)
All +6,000 Biological Images are in the Media Gallery
In a Book there are on average 20 Chapters
Each Chapter in a Book has on average 20 articles

One WordCloud per article – Each Chapter in a Book has on average 20 articles
One Bar Diagram of Concept Frequencies per article – Each Chapter in a Book has on average 20 articles
One Hypergraph for ALL articles in a Chapter – Each Chapter in a Book has on average 20 articles
One Tree Diagram for ALL articles in a Chapter — Each Chapter in a Book has on average 20 articles

If NLP produced on average 42 ADDITIONAL graphs per Chapter
Each Chapter in a Book has on average 20 articles
Namely 840 NEW graphs per Book times 18 Books = ~15,000 new graphs for the BOOKS = for 2,000 articles
For the 4,000 articles NOT in books an additional 30,000 new graphs

For NLP

Every item mentioned here is a USE CASE

For Fluree

All NLP Products FOR THE EXISTING archive is ~50,000 graphs

For Content monetization

Each article is a USE CASE that needs to be indexed

Core Part 2: Knowledge graph SCHEMA design for Fluree’s Blockchain Database

Use Case: Author of an article or Article Title
Classifiers for each Use Case
INDEXING
Nodes and Edges population for the schema

Core Part 3: Interface with Wolfram NLP allowing for creation of LPBI Deep Learning NLP SOPs

GENERATE for each article

One WordCloud per article – Each Chapter in a Book has on average 20 articles
One Bar Diagram of Concept Frequencies per article – Each Chapter in a Book has on average 20 articles
One Hypergraph for ALL articles in a Chapter – Each Chapter in a Book has on average 20 articles
One Tree Diagram for ALL articles in a Chapter — Each Chapter in a Book has on average 20 articles

Core Part 4: Enable Transactions

Front-End – GUI
Back-End – Immutable ledger

Core Part 5: System Integration and Testing

Core Part 6: Deploy the System for Content Monetization

UPDATED on 2/2/2021

UPDATED-Data Architecture for Blockchain Deployment of Digital Assets: LPBI IP Asset Classes I,II,III,V

Author: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2020/11/16/data-architecture-for-blockchain-deployment-of-digital-assets-lpbi-ip-asset-classes-iiiiii/

UPDATED on 1/3/2021

Data Architecture for Blockchain Deployment of Digital Assets: LPBI IP Asset Classes I,II,III,V

Author: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2020/11/16/data-architecture-for-blockchain-deployment-of-digital-assets-lpbi-ip-asset-classes-iiiiii/

Announcing Strategic Transition from 1.0 LPBI to 2.0 LPBI on 1/1/2021: New Management, Marketing Communication and New Scientific/Technical Opportunities

Author: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2021/01/01/announcing-strategic-transition-from-1-0-lpbi-to-2-0-lpbi-on-1-1-2021-new-management-and-new-technical-opportunities/

Blockchain Ecosystem Reporters: Joel Shertok, PhD and Irina Robu, PhD

In the Healthcare Sector: The top 10 competitors are:

AMC Health

Real-Time. Proven. Seamless.

AMC’s superior platform combines more than 17-years of hands-on clinical expertise, plus state-of-the-art technology providing real time patient data. Our platform is the only FDA Class II cleared care management platform, with multiple peer-reviewed studies and the ability to provide seamless connections that bridge the gap for care teams, members (patients) and payors.

https://www.amchealth.com/

Trapollo

Trapollo Converge

Secure, cloud-based, connected patient engagement — that extends care beyond the traditional walls of healthcare.

Trapollo Converge is a highly flexible and extensible virtual-care platform purpose-built for delivering care coordination and health monitoring. It provides intuitive and easy-to-use technology and a device-agnostic platform for clinicians, patients and family caregivers.

With its powerful digital engagement tools, telehealth capabilities and monitoring functions, Trapollo Converge connects its clients across the healthcare spectrum and patient populations to fulfill the true promise of Connected Health delivery.

https://www.trapollo.com/

Tactio Health Group

We digitize remote care for physician groups demanding scalable, secure and senior-friendly solutions.

We make RPM programs successful in North America with our pillar platform CareSimple, designed for physician groups of all sizes and their patients of any age. We also help integrate RPM solutions in other regulatory markets with CareSimple Franchise.

We build on the vast experience of over 4.5M Health App downloads in 17 languages, 100+ medical device integrations, and several prereimbursement RPM care models.

We strive to make our software and services simple so our customers can focus on care, patient compliance, clinical efficiency and outcomes.

We are collaborative and agile and we operate under the rigor of audited quality and security processes.

https://tactiohealth.com/

Vivify Health

Vivify Health is transforming healthcare by replacing episodic approaches with the market’s most complete, patient-centered, and holistic connected care platform. Discover how we can help you launch and scale comprehensive, effective remote care programs that create exceptional clinical and financial ROI for chronic and post-acute care as well as wellness management.

Setting patients in the right direction for a continued path towards a healthy life is Vivify Health’s main priority. Using Vivify Pathways (our Remote Care Platform), you can choose from over 90 clinical and engagement pathways or combine them into thousands of programs. We don’t have one you need? You can use our intuitive drag-and-drop portal to create your own.

Scheduling and automating patient encounters to connect, engage, educate, guide, monitor and intervene gives you a great pathway towards success.

Start a population (or single patient) on a simple pathway. Based on patient events… interventions, escalations, and even additional pathway content can be automatically engaged for a patient, keeping populations on the right path with much less manual effort.

https://www.vivifyhealth.com/

TELUS Health

Accessible healthcare

A term often used interchangeably with telemedicine, telehealth or virtual healthcare, virtual care is the process of providing 24/7 real-time access to medical professionals via a mobile device – by voice, text or video.

In addition to diagnosing and treating common primary care ailments, virtual care also provides access to a broader range of non-clinical care services, such as mental health support, chronic disease management, and even specialist referrals and prescriptions.

https://www.telus.com/en/health/about-telus-health

Vitalmobile Health

VitalMobile is a Portuguese company who develops its activity exclusively in Remote Telemonitoring, and was a world pioneer in Professional Patient Monitoring.

VitalMobile, a “Spin Off” of UltraPonto, invests since 2003 its resources in improving the quality of life of patients. By helping each patient to better understand their condition, and support caregivers by giving them access to biometric data in real time and distance, has developed and implemented a new health model with proven benefits.

This model helps to improve the sustainability of the National Health Service and the profitability of private health providers to make the monitoring more efficient, patient complying with medical protocols and ensuring significant reduction of operating costs, travel, management, work organization and their prioritization.

https://www.vitalmobile.eu/en/content/company

Ingeniumcare

INGENIUM HEALTHCARE ADVISORS is a team of seasoned Healthcare Delivery Improvement experts with healthcare experience ranging from 15 to 30 years.

Our ADVISORS enable providers to deliver the best care in the most efficient and cost-effective way.

We bring extensive experience in

– Project Management

– Business Analysis

– Quality Improvement

– Health IT

– Telehealth & Telemedicine

– Digital Health, Connected Health, and TeleHealth Strategy

We are Doctors, Nurses, Physician Assistants, Engineers, MBAs, and Healthcare Lawyers.

In partnership with forward-thinking healthcare leaders we develop Digital Health and Healthcare Delivery Improvement strategies. But we don’t stop there. We then implement the strategy by working with clinical, technical and administrative staff to design and build the unique solutions that improve the delivery of care.

Together we pursue one goal: Enabling Extraordinary Care.

https://ingeniumdigitalhealth.com/

Cardiocom, LLC

Medtronic, Inc. Drops $200 Million on Cardiocom LLC

Published: Aug 12, 2013

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Medtronic spends $200 million to acquire disease management company Cardiocom, the Wall Street Journal reports. Medtronic (NYSE:MDT) bought Cardiocom LLC for $200 million in cash in a bid to get into the disease management business, according to the Wall Street Journal. Chanhassen, Minn.-based Cardiocom makes devices aimed at helping to manage chronic conditions like diabetes or heart disease. The acquisition is aimed at putting Fridley, Minn.-based Medtronic in position to take advantage of the increasing focus on lowering healthcare costs, Medtronic’s U.S. president Mike Genau told the newspaper.

VSee Lab

About the VSee Team

We’re more than a telemedicine platform. We’re people who believe in the power of telemedicine to save money, save lives, and improve healthcare. Our mission is to make telehealth an everyday experience, and we’re committed to helping our partners succeed at this. VSee serves over 2000 clients including GE, Shell, Trinity, DaVita, McKesson, Optum and NASA Space Station.

In the Beginning…

VSee was founded in 2008 by two Stanford PhD students, Dr. Milton Chen and Dr. Erika Chuang. They wanted to change how we worked by making remote work simple. Dr. Chen did his PhD research on the psychology of video communications, and also coded the original VSee video application. Dr. Chen has the privilege to deploy VSee for former President Obama’s Inauguration, the Navy Seals, and notables such as former Secretary of State Hillary Clinton, former UN Secretary-general Ban Ki-moon, Angelina Jolie, and Linkin Park. Dr. Chen has also been on numerous humanitarian and medical missions trips, personally traveling to Iraq twice, Syria twice, as well as Africa, Southeast Asia, and Latin America on many occasions.

Today we are a global tribe of designers and engineers passionate about using our skills to make a difference in the healthcare space. Telemedicine shouldn’t be another EMR nightmare, and doctors don’t need more apps they won’t use. We’re here to create a telemedicine experience that’s as simple and accessible as shopping online. That’s what we’re all about.

https://vsee.com/

PROMINENT BLOCKCHAIN-AS-A-SERVICE (BaaS) PROVIDERS – COMPANIES MAKING THE DLT MORE ACCESSIBLE

Sam Daley

April 11, 2019

Updated: April 6, 2020

Arising star in the business world, Blockchain-as-a-Service (BaaS) — when a third-party installs and maintains blockchain networks for a company’s technologies — helps businesses develop and host blockchain apps and smart contracts in a blockchain ecosystem that’s managed and administered by cloud-based service providers.

BaaS has gained significant traction recently because it can “resolve complex issues around transparency, efficiency and cost” in a simplistic and straightforward manner. The quickest adopters have been in the software, fintech and logistics industries. BaaS has become so popular, in fact, that some of the largest tech companies in the world — including IBM, Microsoft and Oracle — all have divisions dedicated to the integration and evangelism of BaaS.

PROMINENT BLOCKCHAIN-AS-A-SERVICE PROVIDERS

Dragonchain

Factorm

Bloq

Skuchain

LeewayHertz

Altoros

Appinventiv

Fluence

Innominds

DRAGONCHAIN

Location: Seattle, Washington

How it’s using blockchain: Starting as a company within Disney, Dragonchain’s BaaS platform focuses on the protection of vital business assets and data. The company uses serverless cloud architecture to improve interoperability, and privacy, between blockchains that share a businesses’ most important information, like finances.

FACTOM

Location: Austin, Texas

How it’s using blockchain: Factom has two tools dedicated to BaaS for managing and securing important documents. “Factom Harmony” is a ledger tool that converts documents to a singular digitized platform to reduce audit times and costs. Factom’s “dLoc” uses encryption to authenticate and verify personal documents like land titles and birth certificates.

BLOQ

Location: Chicago, Illinois

How it’s using blockchain: Bloq offers a suite of BaaS tools that focus on key issues in business reconciliation, authentication and security. The software platform helps businesses build and personalize the BaaS technology that suits their current needs. Some of their specific blockchain products include a smart wallet, a smart contract platform and a decentralized cloud to help businesses store and manage data.

SKUCHAIN

Location: Mountain View, California

How it’s using blockchain: The Skuchain EC3 Platform installs blockchain-based infrastructure in current IT processes for the shipping and logistics industry. The company’s ledger enables businesses to simultaneously access a cloud environment, blockchain protocol and in-house applications. Compatible with any supply chain process, Skuchain’s BaaS immediately installs smart contracts and chain-of-custody tools.

LEEWAYHERTZ

Location: San Francisco, California

How it’s using blockchain: LeewayHertz offers a full suite of blockchain-based services, including blockchain consulting, hybrid ledger installation and maintenance. At LeewayHertz, the end-to-end BaaS offerings range from ideation to installation. The company has already developed decentralized applications (dApps) for industry leaders like Disney, Budweiser and 3M.

ALTOROS

Location: Sunnyvale, California

How it’s using blockchain: Altoros uses blockchain to automate workflow processes, fortify identity security and manage records. The company has installed blockchain in a variety of industries, including telecommunications, finance, energy, supply chain and manufacturing. The permissioned blockchains in these industries do everything from mitigate fraud to detect faulty parts.

APPINVENTIV

Location: New York, New York

How it’s using blockchain: Appinventiv offers a full suite of blockchain-based tools and solutions for almost every industry. The company builds dApps for healthcare, entertainment, logistics, fintech and more. Over the last four years, Appinventiv has produced more than 700 dApps that feature everything from smart contracts to crypto wallet developments.

FLUENCE

Location: San Francisco, California

How it’s using blockchain: Fluence is an API for businesses to deploy, integrate and manage smart contracts and blockchains in their own environments. The Fluence API lets companies do everything from create dApps to deploy public net nodes.

INNOMINDS

Location: San Jose, California

How it’s using blockchain: Innominds’ Blockchain-as-a-Service creates products for smart contracts and cryptocurrencies that allow businesses to build and test blockchain products, develop crypto solutions using Ripple and maintain interledgers — protocols used for payments between blockchain networks.

DIVE DEEPERRead More Blockchain Stories

SYMBIONT

Location: New York, New York

How it’s using blockchain: Symbiont lends its BaaS to fintech companies in a variety of sectors. Fintech companies and banks that lend for mortgages and loans use the company’s blockchain to verify origination of records and transparently record all payments on a ledger. Private equity firms and crowdfunding platforms can use Symbiont to secure private documents and show ownership of securities in real-time.

BLOCKSTREAM

Location: Mountain View, California

How it’s using blockchain: Blockstream’s BaaS creates scalable solutions for the Bitcoin ecosystem and protocol. The company’s Bitcoin processing software creates a larger peer-to-peer financial system that eliminates the need for third parties.

PAYSTAND

Location: San Francisco, California

How it’s using blockchain: PayStand incorporates blockchain into payment and documenting processes to ensure immutability and auditability. The company’s BaaS installs networks that notarize certificates (like diplomas, deeds and receipts). It also provides an admin platform that gives users an in-depth and real-time look into their data. Additionally, the PayStand network automates parts of the end-to-end financial process, including cash management, accounting and reconciliation.

TZERO

Location: Midvale, Utah

How it’s using blockchain: tZERO integrates its BaaS ledger into financial platforms to create traceable, real-time movements in the finance industry. The company’s tZERO security token, paired with its “Digital Locate Receipt” platform, helps financial institutions distribute cryptocurrency and trace it throughout the end-to-end spending process.

AMAZON AWS

Location: Seattle, Washington

How it’s using blockchain: Amazon Web Services (AWS) is a BaaS leader in many industries. The company integrates blockchain-based networks and business processes for some of the largest companies in the world (including T-Mobile and PwC) to improve IT infrastructure, business processes, human resources, financial transactions and supply chains. The company’s BaaS deploys Ethereum and Hyperledger Fabric frameworks so the blockchain is flexible enough to adapt to almost every environment.

VIRONIT

Location: San Francisco, California

How it’s using blockchain: VironIT offers a multitude of BaaS services, including consulting and blockchain-based mobile app development. Specific examples of the company’s BaaS include everything from smart contract development and auditing to development of cryptocurrencies and digital wallets.

BLOCKAPPS

Location: New York, New York

How it’s using blockchain: BlockApps develops security-focused, permission-based BaaS solutions for enterprise customers. The company’s blockchain development environment is designed to run a node locally or on the cloud, and can be launched in a matter of minutes. The BlockApps BaaS platform has been used to develop blockchain solutions for everything from smart insurance contracts to fraud prevention in ticketing tools.

CRYPTOWERK

Location: San Mateo, California

How it’s using blockchain: Cryptowerk’s Blockchain-as-a-Service helps businesses create ledger-based tools that seal off important data and create a tamper-proof chain-of-custody. The Cryptowerk Seal — a blockchain API that uses ledgers to verify the authenticity of data and digital assets — has been use for everything from shipment ID codes and GPS telemetry in cars to gathering data from smart energy meters.

CLOVYR

Location: New York, New York

How it’s using blockchain: Clovyr is an ecosystem of blockchain applications that allows teams to experiment, iterate and deploy products quickly and safely. Employing a hybrid of permissioned and public networks, Clovyr offers its users upgraded immutability and authentication standards.

KALEIDO

Location: Raleigh, North Carolina

How it’s using blockchain: Designed with business networks in mind, Kaleido‘s full-stack BaaS platform helps enterprises quickly build and run cloud-based blockchain networks. Kaleido clients can manage multiple clouds using blockchains that span the Microsoft Azure and Amazon Web Services networks, as well as, any geographic regions.

SOURCE

https://builtin.com/blockchain/blockchain-as-a-service-companies

Competitors in Blockchain specializing in Healthcare include the following:

BurstIQ

Total Funding$6 M

BurstIQ’s data and cyber security services are focused on minimizing and managing the security risk that all health organizations face. Our practice area expertise includes mobile security, Cloud security, managed security services, policy and compliance, threat assessments, and digital forensics. We are able to address all aspects of the data security life cycle to include initial threat and solution assessments, solution design, implementation, and ongoing operations.Show more

Type	Private
Founded	2015
HQ	Colorado Springs, US	Map
Website	burstiq.com

BurstIQ Launches Full Developer Toolset for Blockchain-Enabled Applications and Services
PR Newswire19 Aug 2020
Hitachi, the American Heart Association, and BurstIQ launch COVID-19 Data Challenge
VentureBeat12 May 2020
BurstIQ and Partners Launch Collaborative Research Coalition to Tackle COVID-19 and other Global Health Crises
PR Newswire08 Apr 2020

Employees (est.) (Oct 2020)	29	(-3%)
Cybersecurity rating	B	More

Indegene Lifesystems

Princeton, US

Employees

2,378↑ 2% increase

We help healthcare organizations address complex challenges by seamlessly integrating Analytics, Technology, Operations and Medical expertise.

View company

Doctify

London, GB

Employees

50↓ 4% decrease

Doctify is a company operating an online platform that connects patients with the doctors.

View company

Entopsis

Medley, US

Employees

10↓ 9% decrease

We are a young and driven biotech startup team based in Miami, Florida. Our aim is to create a cost-effective platform for regular health monitoring.

View company

Avalon AI

London, GB

Employees

Avalon AI is a company focusing on the automated derivation of brain biomarkers.

View company

SOURCE

https://craft.co/burstiq/competitors

https://builtin.com/blockchain/blockchain-healthcare-applications-companies

15 EXAMPLES OF HOW BLOCKCHAIN IS REVIVING HEALTHCARE

Sam Daley

July 1, 2019

Updated: March 25, 2020

https://builtin.com/blockchain/blockchain-healthcare-applications-companies

BURSTIQ

Industry: Big Data, Cybersecurity, Software

Location: Colorado Springs, Colorado

What they do: BurstIQ’s platform helps healthcare companies safely and securely manage massive amounts of patient data. Its blockchain technology enables the safekeeping, sale, sharing or license of data while maintaining strict compliance with HIPAA rules.

Blockchain application: The company uses blockchain to improve the way medical data is shared and used.

Real-life impact: Because BurstIQ’s platform includes complete and up-to-date information about patients’ health and healthcare activity, it could help to root out abuse of opioids or other prescription drugs.

FACTOM

Industry: IT, Enterprise Software

Location: Austin, Texas

What they do: Factom creates products that help the healthcare industry securely store digital records on the company’s blockchain platform that’s accessible only by hospitals and healthcare administrators. Physical papers can be equipped with special Factom security chips that hold information about a patient and stored as private data that is accessible only by authorized people.

Blockchain application: Factom employs blockchain technology to securely store digital health records.

Real-life impact: In June of 2018, Factom got a grant of nearly $200,000 from the U.S. Department of Homeland Security to beta-test a platform aimed at integrating secure data from Border Patrol cameras and sensors in order to better understand the impacts of blockchain in “a realistic field environment.”

MEDICALCHAIN

Industry: Electronic Health Record, Medical

Location: London, England

What they do: Medicalchain’s blockchain maintains the integrity of health records while establishing a single point of truth. Doctors, hospitals and laboratories can all request patient information that has a record of origin and protects the patient’s identity from outside sources.

Blockchain application: Medicalchain’s blockchain-based platform maintains a record of origin and protects patient identity.

Real-life impact: In May of 2018, Medicalchain announced the release of MyClinic.com. A telemedicine platform, MyClinic enables patients to consult with their doctors via video and pay for those consultations with “MedTokens.”

GUARDTIME

Industry: Cybersecurity, Blockchain

Location: Irvine, California

What they do: Guardtime is helping healthcare companies and governments implement blockchain into their cybersecurity methods. The company was vital in helping implement blockchain in Estonia’s healthcare systems, and it recently signed a deal with a private healthcare provider in the United Arab Emirates to bring blockchain to its data privacy systems.

Blockchain application: Guardtime employs blockchain for cybersecurity applications, including healthcare.

Real-life impact: Guardtime recently teamed with Verizon Enterprise Solutions to deploy several platform services based on Guardtime’s Keyless Signature Infrastructure (KSI) Blockchain.

SIMPLYVITAL HEALTH

Industry: AI, Blockchain, Enterprise Software, Personal Health

Location: Watertown, Massachusetts

What they do: SimplyVital Health is making its decentralized technology available to the healthcare industry. It’s Nexus Health platform is an open source database that allows healthcare providers, on a patient’s blockchain, to access pertinent information. Open access to important medical information helps healthcare professionals coordinate medical efforts more quickly than traditional methods.

Blockchain application: SimplyVital uses blockchain to create an open source database so healthcare providers can access patient information and coordinate care.

Real-life impact: SimplyVital recently partnered with genemics and precision medicine company Shivom to form a Global Healthcare Blockchain Alliance that employs blockchain security to protect DNA sequencing data.

CORAL HEALTH RESEARCH & DISCOVERY

Industry: Healthcare, IT

Location: Vancouver, Canada

What they do: Coral Health uses blockchain to accelerate the care process, automate administrative processes and improve health outcomes. By inserting patient information into distributed ledger technology, the company connects doctors, scientists, lab technicians and public health authorities quicker than ever. Coral Health also implements smart contracts between patients and healthcare professionals to ensure data and treatments are accurate.

Blockchain application: Coral’s blockchain technology accelerates care, automates administrative processes and employs smart contracts between patients and doctors.

Real-life impact: According to Coral’s chief strategy officer Jeremy Mullin, the company is looking into the possibility of using a blockchain and the Smart on FHIR protocol “to let patients track their own health files.”

ROBOMED

Industry: Blockchain, Medicine

Location: Moscow, Russia

What they do: Robomed combines AI and blockchain to offer patients a single point of care. The company deploys chatbots, wearable diagnostic tools and telemedicine sessions to gather patient information and share it with the patient’s medical team. Robomeds Panacea platform engages patients into smart contracts that incentivize and lead them down the path to better health.

Blockchain application: Robomed uses blockchain to securely gather patient information and share it with a patient’s healthcare providers.

Real-life impact: The Taipei Medical University Hospital recently implemented blockchain technology, including Robomed’s network, to more securely store and share medical records.

PATIENTORY

Industry: Blockchain, Cybersecurity, Healthcare, IT

Location: Atlanta, Georgia

What they do: Patientory’s end-to-end encryption ensures that patient data is shared safely and efficiently. The company’s platform enables patients, healthcare providers and clinicians to access, store and transfer all important information via blockchain. Patientory helps the healthcare industry to move more quickly by housing all patient information under one roof.

Blockchain application: Patientory’s blockchain platform enables the secure storage and transfer of important medical information.

Real-life impact: Patientory recently hosted its first North American Blockchain in Healthcare Summitthat gathered hundreds of healthcare professionals to discuss and learn about blockchain-based healthcare applications.

CHRONICLED

Industry: Blockchain, Supply Chain Management

Location: San Francisco, California

What they do: Chronicled builds blockchain networks that demonstrate chain-of-custody. The networks help pharma companies make sure their medicines arrive efficiently, and they enable law enforcement to review any suspicious activity — like drug trafficking. In 2017, Chronicled created the Mediledger Project, a ledger system dedicated to the safety, privacy and efficiency of medical supply chains.

Blockchain application: Chronicle’d blockchain network is used to ensure the safe arrival and detailed review of drug shipments.

Real-life impact: According to the company, results from Chronicled’s recent MediLedger Project prove that its blockchain-based system “is capable of acting as the interoperable system for the pharmaceutical supply chain” and “can meet the data privacy requirements of the pharmaceutical industry itself.”

BLOCKPHARMA

Industry: Blockchain, Pharmaceuticals, Supply Chain

Location: Paris, France

What they do: Blockpharma offers a solution to drug traceability and counterfeiting. By scanning the supply chain and verifying all points of shipment, the company’s app lets patients know if they are taking falsified medicines With the help of a blockchain-based SCM system, Blockpharma weeds out the 15% of all medicines in the world that are fake.

Blockchain application: Through its app, the company’s blockchain-based system can help prevent patients from taking counterfeit medicines.

TIERION

Industry: Saas, Blockchain

Location: Mountain View, California

What they do: Tierion’s blockchain audits documents, records and medicines to keep a clear history of possession. The company uses timestamps and credentials to maintain proof of ownership throughout a medical supply chain.

Blockchain application: The company uses blockchain to maintain a clear possession history within medical supply chains.

Real-life impact: Tierion recently proposed a “multi-network coin” that could make Bitcoin more versatile and applicable.

CENTERS FOR DISEASE CONTROL AND PREVENTION (CDC)

Industry: Government Agency, Healthcare, Security

Location: Atlanta, Georgia

What they do: The Centers for Disease Control and Prevention is looking into blockchain to monitor diseases in a supply chain-like manner. The U.S. Government agency says blockchain’s timestamps, peer-to-peer health reporting and data processing capabilities can help report disease outbreak in real-time. By studying the trail of reported outbreaks, scientists can find the origin of a disease and patterns that help suppress disease. The CDC might also employ blockchain to track the opioid epidemic.

Blockchain application: The CDC uses blockchain to monitor diseases and report outbreaks in real time.

Real-life impact: IBM is working with the CDC to develop a blockchain-based surveillance system so public health agencies can more effectively gather data about patients and prescriptions.

NEBULA GENOMICS

Industry: Biotechnology, Genetics

Location: Boston, Massachusetts

What they do:Nebula Genomics is using distributed ledger technology to eliminate unnecessary spending and middlemen in the genetic studying process. Pharmaceutical and biotech companies spend billions of dollars each year acquiring genetic data from third parties. Nebula Genomics is helping to build a giant genetic database by eliminating expensive middlemen and incentivizing users to safely sell their encrypted genetic data.

Blockchain application: The company uses blockchain to streamline the study of genetics and lower costs.

ENCRYPGEN

Industry: Blockchain, Data-Sharing

Location: Coral Springs, Florida

What they do: The EncrypGen Gene-Chain is a blockchain-backed platform that facilitates the searching, sharing, storage, buying and selling of genetic information. The company protects its users’ privacy by allowing only other members to purchase the genetic information using safe, traceable DNA tokens. Member companies can use the genetic information to build upon their genetic knowledge and advance the industry.

Blockchain application: The company’s blockchain platform makes it easier to search for, share, store and buy genetic information.

Real-life impact: EncrypGen plans to expand its user profile to include self-reported medical and behavioral data. According to company co-founder and CEO Dr. David Koepsell, it’s also working on integrating a blockchain payment and auditing platform as well as forming partnerships with testing companies, analytics software developers and others.

DOC.AI

Industry: AI, Blockchain, Medical, Software

Location: Palo Alto, California

What they do: Doc.ai uses machine intelligence, like AI, to decentralize medicine on the blockchain. Users can opt into the company’s platform to share their medical and genomic data with a community of scientists that use the data for predictive modeling. doc.ai saves no patient data. Once information is uploaded, encrypted on a blockchain and used in a trial, the data is wiped out in order to ensure security and privacy.

Blockchain application: The company’s employs machine intelligence (like AI) to decentralize medical data on the blockchain.

Real-life impact: The company recently partnered with health insurer Anthem tostudy the use of artificial intelligence in predicting the occurrence of allergic reactions.

RELATEDHealthcare Technology: What It Is + How It’s Used

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SOURCE

https://builtin.com/blockchain/blockchain-healthcare-applications-companies

Leaders in Pharmaceutical Business Intelligence (LPBI) Group

Funding, Deals & Partnerships: BIOLOGICS & MEDICAL DEVICES; BioMed e-Series; Medicine and Life Sciences Scientific Journal – http://PharmaceuticalIntelligence.com