• Home
  • 2.0 LPBI Executive Summary
  • 1.0 LPBI Executive Summary
  • Journal PharmaceuticalIntelligence.com
  • Portfolio of IP Assets
  • Knowledge PORTALS System (KPS)
  • 1.0 LPBI – 2012-2020 VISTA
  • LPBI Group’s History
  • 2.0 LPBI – 2021-2025 VISION
  • BioMed e-Series
  • Press Coverage
  • Investor Relations
  • Our TEAM
  • Founder
  • Funding, Deals & Partnerships
  • 1.0 LPBI Group News
  • 1.0 LPBI CALENDAR
  • 2.0 LPBI Group News
  • Testimonials about LPBI
  • DrugDiscovery @LPBI Group
  • Medical 3D Printing
  • e-VOICES Podcasting
  • LPBI Newsletters
  • Customer Surveys
  • Health Care INVESTOR’s Corner ($)
  • 2021 Summer Internship Portal
  • 2021-2025 Medical Text Analysis (NLP)
  • Artificial Intelligence: Genomics & Cancer
  • SOP Web STAT
  • Blockchain Transactions Network Ecosystem
  • Contact Us
  • 1.0 LPBI Brochure
  • 2.0 LPBI Brochure
  • 2.0 LPBI – Calendar of Zooms
  • Coronavirus, SARS-CoV-2 Portal
  • LPBI India
  • Synthetic Biology in Drug Discovery
  • Certificate One Year
  • NFT: Redefined Format of IP Assets
  • Audio English-Spanish: BioMed e-Series
  • Five Bilingual BioMed e-Series
  • Press Releases
  • Intangibles CIM
  • ChatGPT + Wolfram PlugIn
  • Medicine with GPT-4 & ChatGPT
  • BioMed Audio Podcast Library @LPBI Group

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

Feeds:
Posts
Comments

Financial Valuation of Three Health Care Intellectual Property (IP) Content Asset Classes

Financial Valuation of Three Health Care Intellectual Property (IP)

Content Asset Classes

 

Draft version 1 of Aviva’s Model Specification, Friday, February 15, 2019 at 7:22 AM

 

Part 1: IP Asset Class I: Corpus of 5,500 Scientific Articles in the Open Access Journal @PharmaceuticalIntelligence.com

https://lnkd.in/erfbayJ

Part 2: IP Asset Class II: Corpus of 16 Volumes in LPBI Group’s BioMed e-Series

https://lnkd.in/ekWGNqA

Part 3: IP Asset Class III: Corpus of +60 Conference eProceedings

  • Real Time Press Coverage of Biotech Conferences, 3/2013

https://pharmaceuticalintelligence.com/press-coverage/

Part One: The Process of Real Time Coverage using Social Media

Part Two: List of BioTech Conferences 2013 to Present

Part Three: Conference eProceedings DELIVERABLES & Social Media Analytics

Part 1: IP Asset Class I: Corpus of 5,500 Scientific Articles in the Open Access Journal @PharmaceuticalIntelligence.com

 

https://lnkd.in/erfbayJ

What would be the asking price for the Journal?

 

The answer is based on a proprietary algorithm designed for the purpose of measuring the contributing factors of six processes in the creation of Economic Value by contents that were developed in Journal’s 5,500 discrete units, aka, a “Curated Article” or a “Report in an Article form.”

Process A: article classification by multiple parameters

  • N1 = All articles (5,500) & all e-Readers 1.55 Million
  • N2 = # of Articles by Type – Value of Curated article is x20 Value of Reported article

N2.1 # curated articles by #words per article # e-Readers per article

articleID (URL) by Author(s) Name

N2.2 # reported articles by #words per article # e-Readers per articleID (URL) by Author(s)

  • N = 3 # Research Categories = 700.

Process 2: Value Score for each Category

Process 3: 7,800 Scientific comments

Process 4: Top authors by $

Process 5: Twitter Analytics of @pharma_BI @AVIVA1959 on Articles in the Journal.

Process 6: VALUATION of the Journal is a formula based on Process 1, 2, 3, 4, 5.

Each Process is assigned a relative weight, together contributing to 100% of the value created by combining the synergy achieved by all five Processes put together.

 

Pricing the Journal: MODEL’s PARAMETERS

Process A: article classification by multiple parameter

  • N1 = All articles (5,500) & all e-Readers 1.55 Million
  • N2 = # of Articles by Type – Value of Curated article is x20 Value of Reported article
  1. N2.1 # curated articles by #words per article # e-Readers per article articleID (URL) by Author(s) Name
  2. N2.2 # reported articles by #words per article # e-Readers per articleID (URL) by Author(s)
  • N= 3 # Research Categories = 700.

Process 2: Value Score for each Category

Process 3: 7,800 Scientific comments

Process 4: Top authors by $

Process 5: Twitter Analytics of @pharma_BI @AVIVA1959 on Articles in the Journal.

Process 6: VALUATION of the Journal is a formula based on Process 1, 2, 3, 4, 5 each at a new weight assigned to each Process.

 

Friday, February 15, 2019 at 7:22 AM

To: Stephen J Williams <sjwilliamspa@comcast.net>; Marcus Feldman <mfeldman@stanford.edu>; Justin MDMEPhD <jdpmdphd@gmail.com>

CC: gailsthornton@yahoo.com; rmandahl@gmail.com; amnon.danzig@gmail.com; Dr. Irina Robu, PhD <irina.stefania@gmail.com>; Adam Sonnenberg <adamsonnenberg@hotmail.com>; kelly.perlman@mail.mcgill.ca; Sudipta Saha <sudiptasaha1977@gmail.com>; Dr. Larry Bernstein <larry.bernstein@gmail.com></larry.bernstein@gmail.com></sudiptasaha1977@gmail.com></adamsonnenberg@hotmail.com></irina.stefania@gmail.com>

 

On 2/15/19, 7:22 AM, “Aviva Lev-Ari” <avivalev-ari@alum.berkeley.edu> wrote:

 

Prof. Feldman and Dr. Pearlman

 

–>> Please each, comment and add concepts and refinements on these PRICE VALUATION Model OF THE JOURNAL pharmaceuticalintelligence.com

 

–>> Each addressee to this e-mail is welcome to do what I requested, above.

 

–>> Amnon you will be Model’s Excel File Owner and Excel Formulas writer of the FINAL formulation approved by every member of FIT

 

Journal Pricing Model (IP Asset Class I) Parameters in Model Pricing Algorithm – Draft version 1 of Aviva’s Model Specification

 

Process A: article classification by multiple parameter

 

N1 = All articles (5,500) & all e-Readers 1.55 Million

 

N2 = # of Articles by Type – Value of Curated article is x20 Value of Reported article

 

N2.1 # curated articles by #words per article # e-Readers per article

articleID (URL) by Author(s) Name

 

N2.2 # reported articles by #words per article # e-Readers per articleID (URL) by Author(s)

 

N= 3 # Research Categories = 700.

 

BEFORE WE COMPUTE VALUE of each Category, Dr. Williams will collapse EVERY CATEGORY WITH LESS THAN 10 articles into other existing Categories.

 

Process of Category collapse:

  1. Click one by one in sequence from A to Z on each category with less then 10 articles.
  2. Click on an article check off NEW CATEGORY you assign, check off

Existing category. SAVE, exit article, go to next in line

  1. Repeat 2 till # articles in a category with less then 10 articles reaches Zero. Go to Categories, delete category, in case category with zero articles remains live
  2. Repeat 1,2,3 till every Category has 10 or more articles in it.

 

THEN go to N2.1 and N2.2

Every article will have a score.

Store Summation across all articles

Translate total Score to $$$ by set of assumptions to be developed

 

Process 2: Value Score for each Category

 

Weighted value of a Research Category = number articles published in each Category

Go to N2.1 and N2.2

Summation across all article per Category

Summation across all categories

 

Process 3: 7,800 Scientific comments

 

Create Value Score for Comments – # of words per Comment

X $$ per word of comment

Total Value of Commets

 

Process 4: Top authors by $

 

Value of (N2.1 and N2.2) X # views per Author, proportional to Curations vs Reporting, Sum of the two

Assign $ to Author’s exposure contribution to Journal valuation

 

Process 5: Twitter Analytics of @pharma_BI @AVIVA1959 on Articles in the Journal.

 

Exposure contribution to prominence of Articles connected to Twitter, since 4/2012 – every article was connected to Twitter.

 

Process 6: VALUATION of the Journal is a formula based on Process 1, 2, 3, 4, 5 each at a new weight assigned to each Process.

 

Part 2: IP Asset Class II: Corpus of 16 Volumes in LPBI Group’s BioMed e-Series

https://lnkd.in/ekWGNqA

What would be the Asking Price for the BioMed e-Series?

The asking price for the BioMed e-series will be based on a computed numberbased on the VALUE SCORE assigned to each article in each Volume, across all articles in One volume, across all 16 volumes. The Value score of an article in the Corpus of 5,500 Journal articles is computed in Part 1 by five processes, See above.

Each e-Series will be given a relative weight. All five e-Series representing five specialties in Medicine comprises the total value of the BioMed e-Series.

  • Series A: e-Books on Cardiovascular Diseases

Six Volumes – BUNDLED BY AMAZON.COM INTO A SIX-VOLUME SERIES FOR $515

https://lnkd.in/e6WkMgF

  • Series B: Frontiers in Genomics Research

Two Volumes

  • Series C: e-Books on Cancer & Oncology

Two Volumes

  • Series D: e-Books on BioMedicine – Metabolomics, Immunology, Infectious Diseases

Three Volumes

  • Series E: Patient-Centered Medicine 

Four Volumes

https://lnkd.in/ekWGNqA

Part 3: IP Asset Class III: Corpus of +60 Conference eProceedings

  • Real Time Press Coverage of Biotech Conferences, 3/2013

 

What would be the Asking Price for the Corpus of 60 e-Proceedings?

 

https://pharmaceuticalintelligence.com/press-coverage/

Part One: The Process of Real Time Coverage using Social Media

Part Two: List of BioTech Conferences 2013 to Present

Part Three: Conference eProceedings DELIVERABLES & Social Media Analytics

 

The economic value of each e-Proceedings in the Corpus of 60 events, is computed by two parameters:

  • The number of words in each proceedings
  • The Twitter Analytics of the event
  • The score generated for one event will be computed by data of all 60 events and
  • Aggregation across all 60 events by a weighting factor related to # of Conference attendees

This algorithm is work-in-progress

Share this:

  • Click to share on Twitter (Opens in new window)
  • Click to share on LinkedIn (Opens in new window)
  • Click to share on Facebook (Opens in new window)
  • Click to print (Opens in new window)
  • Click to email a link to a friend (Opens in new window)

Like this:

Like Loading...

  • Follow Blog via Email

    Enter your email address to follow this blog and receive notifications of new posts by email.

    Join 9,329 other subscribers
  • Recent Posts

    • The Future of AI in Cardiology November 5, 2023
    • Overview of Alzheimer’s Disease and Novel Treatments Targeting Beta-Amyloid Deposits October 7, 2023
    • The Implications and Association of Stair Climbing with Atherosclerotic Cardiovascular Disease (ASCVD) October 6, 2023
    • The Nobel Prize in Physiology or Medicine 2023 October 2, 2023
    • The Current Impact and Future of Technology within Cardiovascular Surgery September 23, 2023
    • The Continued Impact and Possibilities of AI in Medical and Pharmaceutical Industry Practices September 18, 2023
    • Regulatory T cells (Tregs) are important for sperm tolerance and male fertility September 11, 2023
    • ChatGPT Chemistry Assistant for Text Mining and the Prediction of metal–organic framework (MOF) synthesis August 27, 2023
    • Eight Subcellular Pathologies driving Chronic Metabolic Diseases – Methods for Mapping Bioelectronic Adjustable Measurements as potential new Therapeutics: Impact on Pharmaceuticals in Use August 19, 2023
    • ChatGPT Searches and Advent of Meta Threads: What it Means for Social Media and Science 3.0 July 11, 2023
  • Archives

  • Categories

  • Meta

    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    • 1 2012pharmaceutical
    • 1 Amandeep Kaur
    • 1 Aashir Awan, Phd
    • 1 Abhisar Anand
    • 1 Adina Hazan
    • 1 Alan F. Kaul, PharmD., MS, MBA, FCCP
    • 1 alexcrystal6
    • 1 anamikasarkar
    • 1 apreconasia
    • 1 aptubman
    • 1 Arav Gandhi
    • 1 aviralvatsa
    • 1 David Orchard-Webb, PhD
    • 1 danutdaagmailcom
    • 1 Demet Sag, Ph.D., CRA, GCP
    • 1 Dror Nir
    • 1 dsmolyar
    • 1 Ethan Coomber
    • 1 evelinacohn
    • 1 Gail S Thornton
    • 1 Irina Robu
    • 1 jayzmit48
    • 1 jdpmd
    • 1 jshertok
    • 1 kellyperlman
    • 1 Ed Kislauskis
    • 1 larryhbern
    • 1 Madison Davis
    • 1 marzankhan
    • 1 megbaker58
    • 1 ofermar2020
    • 1 Dr. Pati
    • 1 pkandala
    • 1 ritusaxena
    • 1 Rick Mandahl
    • 1 sjwilliamspa
    • 1 Srinivas Sriram
    • 1 stuartlpbi
    • 1 Dr. Sudipta Saha
    • 1 tildabarliya
    • 1 zraviv06
    • 1 zs22

Powered by WordPress.com.

WPThemes.


%d bloggers like this: