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Medical Startups – Artificial Intelligence (AI) Startups in Healthcare

March 2, 2022 by 2012pharmaceutical

Medical Startups – Artificial Intelligence (AI) Startups in Healthcare

Reporters: Stephen J. Williams, PhD and Aviva Lev-Ari, PhD, RN and Shraga Rottem, MD, DSc,

The motivation for this post is two fold:

First, we are presenting an application of AI, NLP, DL to our own medical text in the Genomics space. Here we present the first section of Part 1 in the following book. Part 1 has six subsections that yielded 12 plots. The entire Book is represented by 38 x 2 = 76 plots.

Second, we bring to the attention of the e-Reader the list of 276 Medical Startups – Artificial Intelligence (AI) Startups in Healthcare as a hot universe of R&D activity in Human Health.

Third, to highlight one academic center with an AI focus

Dear friends of the ETH AI Center,

We would like to provide you with some exciting updates from the ETH AI Center and its growing community.

We would like to provide you with some exciting updates from the ETH AI Center and its growing community. The ETH AI Center now comprises 110 research groups in the faculty, 20 corporate partners and has led to nine AI startups.

As the Covid-19 restrictions in Switzerland have recently been lifted, we would like to hear from you what kind of events you would like to see in 2022! Participate in the survey to suggest event formats and topics that you would enjoy being a part of. We are already excited to learn what we can achieve together this year.

We already have many interesting events coming up, we look forward to seeing you at our main and community events!

SOURCE

https://news.ethz.ch/html_mail.jsp?params=%2FUnFXUQJ%2FmiOP6akBq8eHxaXG%2BRdNmeoVa9gX5ArpTr6mX74xp5d78HhuIHTd9V6AHtAfRahyx%2BfRGrzVL1G8Jy5e3zykvr1WDtMoUC%2B7vILoHCGQ5p1rxaPzOsF94ID

LPBI Group is applying AI for Medical Text Analysis with Machine Learning and Natural Language Processing: Statistical and Deep Learning

Our Book

Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS & BioInformatics, Simulations and the Genome Ontology

Medical Text Analysis of this Books shows the following results obtained by Madison Davis by applying Wolfram NLP for Biological Languages on our own Text. See below an Example:

Part 1: Next Generation Sequencing (NGS)

1.1 The NGS Science

1.1.1 BioIT Aspect

Hypergraph Plot #1 and Tree Diagram Plot #1

for 1.1.1 based on 16 articles & on 12 keywords

protein, cancer, dna, genes, rna, survival, immune, tumor, patients, human, genome, expression

HYPERGRAPH PLOT INTERPRETATION

Statistical NLP started with eight key concepts

[cancer, survival, tumor], [genome, human], [protein] [expression]

Deep Learning NLP – 1st level suggests the following semantic affinity for interpretation:

protein –>>> macromolecure ans supermolecule

cancer –>>> Great relevant suggestions: metastatic tumor, malignant tumor and malignant neoplasm

survival –>>> action and continuation

immune –>>> person/individual, person mortal

tumor –>>> growth

human –>>> hominid

genome –>>> order

expression –>>> terms suggested by DL are irrelevant

Some insights gained by the NLP and DL

TREE DIAGRAM PLOT INTERPRETATION

The discovery achieved by NLP and by DL are easier for capture in the hierarchical Tree structure presented. Protein is on the farther left and Expression id on the farther right while immune and human are in the middle of the tree. Survival is on the left of immune and Genome is right to human.

The hierarchical structure does provide a spatial order of value for understanding the following 16 article included in the Text Analysis NLP that yielded these two plots.

In the Medical Text Analysis that yielded these NLP results we had used a merged text file of the following 16 articles:

1.1.1.1 International Award for Human Genome Project

Reporter and Curator: Dr. Sudipta Saha, Ph.D.

https://pharmaceuticalintelligence.com/2018/02/09/international-award-for-human-genome-project/

1.1.1.2 Cracking the Genome – Inside the Race to Unlock Human DNA – quotes in newspapers

Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2017/11/20/cracking-the-genome-inside-the-race-to-unlock-human-dna-quotes-in-newspapers/

1.1.1.3 mRNA Data Survival Analysis

Curators: Larry H. Bernstein, MD, FCAP and Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2016/06/18/mrna-data-survival-analysis/

1.1.1.4 Novel Discoveries in Molecular Biology and Biomedical Science