Leaders in Pharmaceutical Business Intelligence (LPBI) Group

2020/2021 Academic Internship in

Medical Text Analysis (MTA)

with

Natural Language Processing (MTA-NLP)

9/2020 – 9/2021

INTERNSHIPS in LIFE SCIENCES,

Medicine, Biological Sciences, Drug Discovery 

 

Intended for 12th Grade Students and College Students Studying Online

• Three INTERNSHIPS in LIFE SCIENCES, Medicine, Biological Sciences, Drug Discovery

CONTACT:

 avivalev-ari@alum.berkeley.edu

AFTER LABOR DAY – START DAY – 9/8/2020

PERSONAL PAGES OF INTERNS

Madison Davis, Research Assistant 1 – PERSONAL PAGE on 2021 Medical Text Analysis

Danielle Smolyar, Research Assistant 3 – PERSONAL PAGE on 2021 Medical Text Analysis

Zoom Meetings are on Monday at 5PM EST

https://us02web.zoom.us/j/84036067511?pwd=Tlo3WGs5T0M0NDJSVEVqOW80cnpmQT09

 

LPBI Group will run THREE MAJOR INTERNSHIPS: Volunteer base

• We Offer esteemed Affiliation, Mentorship by Scientists
• References and Resume paragraph on accomplishments and goals during the INTERNSHIP
• Opportunity to contribute to Publications

#1: Text Analysis [Medical] with Microsoft Azure: Natural Language Processing with a NEW cohort of INTERNS and our Summer Interns that will choose to stay

#2: Synthetic Biology Software for Drug Design in Glycobiology for our Joint Venture with ABI-LAB, with Dr. Raphael Nir, PhD, President & CSO

#3:  Web Design and Marketing Communications – Journalism in Pharmaceutical MEDIA

More details:

#1:

2020/2021 LPBI Plan for IT Projects & Reseach Projects – LPBI’s TASKS for Research Assistants & Associates

#2:

https://pharmaceuticalintelligence.com/2020-summer-internship/

 

UPDATED on 8/20/2020

From: Aviva Lev-Ari <aviva.lev-ari@comcast.net>

Date: Thursday, August 20, 2020 at 6:39 AM

To: Madison Davis <madisond2302@gmail.com>

Cc: “Stephen Williams, PhD” <sjwilliamspa@comcast.net>, “Ofer Markman, PhD” <oferm2020@gmail.com>, “Irina Robu, PhD” <irina.stefania@gmail.com>

Subject: Re: Internship Progress

Very impressive.

Let me know 

1. When I can edit your first post

2. What do you suspect could have been behind the Microsoft Decline decision

3. I highly appreciate that fact that you reapply !!!

Note: when our Summer Intern Daniel had applied to a Developer Account for Twitter.com to use Tweepy and Pyton, we had three exchanges with Twitter Team till we were approved a Developer Account.

4. Uploading the Text into container is Step 1.

The next step would be to activate the NLP algorithm on the Text and generate Hypergraphs and other output that the NLP program generate

5. We need to understand Microsoft NLP algorithm, I.e., is driven by frequency of words or by a correlation matrix of inverse distances or my semantics logic predicates

6. Example:

23andMe – sequence a Genome of one Person at a time

6.1 it used algorithm x for sequencing (Illumina)

6.2 It compares it to a benchmark

6.3 It issue a report that has

6.3.1 text 

6.3.2 Geographic Map of ancestry

6.3.3 Graphics on genes

6.3.4 List of genes over expressed posing Risk for Diseases x, y, z and protection again Disease k, l, m

I assume that AZURE API for NLP algorithms when apply on text for FHRI Service will yield a report like 6.3, above.

Such a report will be interpreted by LPBI experts.

It will be very nice if you would create the following:

GENOMICS:

16 articles

For each article:

1. Create a MS Word Text file (no figures)

2. Place figures in another file assigned the articleID images removed from

3. Repeat 1 & 2, above for all 16 articles

Top 12 viewed articles:

4. Perform 1,2,3 above for each of the 12 – Expect for Our Team, this, N= 11

Create Two containers:

• One for Genomics

• One for Top Viewed articles

• One for Cancer – Danielle will perform 1,2,3, above for 16 articles on Cancer, you will write a Standard Operation Procedure for HOW to perform 1,23, above for any collection of articles from the Journal. For each article we need to have one column of Categories of Research that any article had been assigned to by the Author, that list is in the Table of the Collection of 16 articles in Genomics, Cancer and Top Viewed articles.

5. We need a DESCRIPTION File for AZURE’s NLP algorithm

6. We need for 5, above same information as 6.3, above.

A DESCRIPTION File about the output of AZURE’s NLP algorithm

Please ask questions 

It is OK to contact AZURE Customer Service and discuss what is your goal and get a Microsoft representative to walk you through the steps to follow to achieve the OUTPUT of application of NLP to our Article’s Text.

• Daniel, mentioned, above had contacted WordPress.com to clarify if a count of Views of our Home Page include or not click done from the Dashboard of an LPBI team member vs a count of a view does not include Internal vs External IP Address of Website Access.

•• That clarification involved 6 e-mail exchanges between Daniel and WordPress.com (WP) representative.

••• that exchange is included in the LPBI Documentation Appendix as evidence for WP definition of a “View” of an article on our Site

•••• Any Click on an Article is assign the intent to download and agreement to pay $30. 

••••• Any Click on the Homepage is assign the intent to access for a Search of a Private Archive and agreement to pay $5.

We derive the Valuation of the Journal based on # of Views of each article across 6,000 articles and across 687,000 searches on the Homepage times the two price categories above for 1.8 Million for both. The Cumulative projection to 2025 is of $48 Million.

The ONE GRAPH I sent last evening.

I mention the WP e-mail exchange to encourage you to contact an AZURE representative to get your guidance on the process and maintain full documentation which we will in due time VOPY and PASTE as the instructions apply to achieve the 6.3, above LIKE a report for our TEXT ANALYSIS operation.

Any questions, please e-mail me or coordinate availability for Zoom meeting with and any other Mentor at LPBI.

A. I am aware about School year start.

B. As you mentioned, time management will allow you to pursue that Annual Internship which will develop your 

1. experience on technical domains and on 

2. corporate/enterprise environment 

I am very pleased to watch you grow and excel with our Team.

 

 

BACKGROUND

2020 VISION 

https://pharmaceuticalintelligence.com/vision/

2020 VISTA 

https://pharmaceuticalintelligence.com/2019-vista/

BioMed e-Series 

https://pharmaceuticalintelligence.com/biomed-e-books/

Artificial Intelligence in Cancer & Genomics Portal 

https://pharmaceuticalintelligence.com/ai-in-genomics-cancer/

2020 Summer Internship on Data Curation & Data Annotation 

https://pharmaceuticalintelligence.com/2020-summer-internship/

Testimonials 

https://pharmaceuticalintelligence.com/praising-lpbi/

Founder 

https://pharmaceuticalintelligence.com/founder/

Research Assistants 

https://pharmaceuticalintelligence.com/contributors-biographies/research-assistants/

Overarching Plan: 9/2020 – 9/2021

 The Overarching Plan will be updated with a Date and will GUIDE all INTERNS activities

 

The New Strategies: TNS #1, #2, #3, #4, #5, #6

TNS #1: TEXT Analysis on our CONTENTS: NLP, ML, AI – INSIGHTS MEAN VALUE and Up-selling content = NEW WARES to be brought to the market

Phase 1: Natural Language Processing(NLP) – 24 months FREE Microsoft AZURE for Health

• Text Analysis done in parallel on three LPBI’s Article Collections building a Proof of Concept performed by LPBI Group’s 2020/2021 Academic Internship in Medical Text Analysis (MTA) with Natural Language Processing (MTA-NLP):
• 9/2020 – 9/2021 – Academic INTERNSHIPS in LIFE SCIENCES, Medicine, Biological Sciences, Drug Discovery 
• Inputs for Proof of Concept are the following three:

(1) Top 12 articles by views (all domains)

(2) Sixteen Cancer Articles representing 8 topics in Cancer Volume 1

(3) Sixteen Genomics Articles representing 21 chapters in Genomics Volume 1

Phase 2: Piloting the Proof of Concept on 4 of LPBI BioMed 16 volumes:

Cancer, Volume 1 & 2 and Genomics, Volume 1 & 2

• Expand applications of Microsoft AZURE and EXPERIMENT with Text Analysis The Wolfram Language
• Comparison of NLP results obtained for Microsoft AZURE and EXPERIMENT with Text Analysis The Wolfram Language
• Application on the ingress TEXT from:

Series C: e-Books on Cancer & Oncology

Volume 1:

Cancer Biology and Genomics for Disease Diagnosis

http://www.amazon.com/dp/B013RVYR2K 

Volume 2:

Cancer Therapies: Metabolic, Genomics, Interventional, Immunotherapy and Nanotechnology in Therapy Delivery

http://www.amazon.com/dp/B071VQ6YYK 

and

Series B: Frontiers in Genomics Research

Volume 1: 

Genomics Orientations for Personalized Medicine

http://www.amazon.com/dp/B018DHBUO6

Volume 2:

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

https://www.amazon.com/dp/B08385KF87

Phase 3: Scaling up NLP, ML, AI to LPBI Group’s FOUR Corpuses Using LPBI’s Vendor of Choice:

• The Wolfram Solution for Biological Sciences
• The Wolfram Data Drop is an open service that makes it easy to accumulate data of any kind, from anywhere—setting it up for immediate computation, visualization, analysis, querying, or other operations

LPBI Group’s FOUR Corpuses

(1) All 6,000 Journal Articles 

(2) 16 Books in Medicine 

(3) 60 e-Proceedings & 36 Tweet Collections of TOP Global Medical and Biotech Conferences, 2013 – 2020

(4) Content Segmentation by other criteria for Narrow casting the content of the journal ontology, Categories of Research (N = 715). About 70% are related to Drug DIscovery

More Instructions

1. The 2020 Summer Internship YIELDED the following three Deliverables which will serve as INPUT for the PROOF OF CONCEPT that the INTERNS in LPBI Group’s 2020/2021 Academic Internship in Medical Text Analysis with Natural Language Processing (MTA-NLP) will be using
2. GOAL for 2020 4Q: TASK #1
   Launch and Completion of the Proof of Concept – and its presentation to a TOP HealthCate Insurer in UT and to a Healthcare Blockchain Transaction Network
3. TASK #2: 2021 – GOAL: Upon completion of the Proof of Concept —>>>> We will scale up the MTA-NLP operation to our following 4 Volumes: (a) Cancer: Volumes 1 & 2 and (b) Genomics: Volumes 1 & 2 – – See Overarching PLAN, above for updates
4. TASK #3: Upon completion of TASK #2, we will engage in task expansion and Scaling up NLP, ML, AI to LPBI Group’s FOUR Corpuses: – See Overarching PLAN, above for updates

(1) All 6,000 Journal Articles 

(2) 16 Books in Medicine 

(3) 60 e-Proceedings & 36 Tweet Collections of TOP Global Medical and Biotech Conferences, 2013 – 2020

(4) Content Segmentation by other criteria for Narrow casting the content of the journal ontology, Categories of Research (N = 715). About 70% are related to Drug DIscovery

 

• DELIVERABLES produced by INTERNS during LPBI Group’s 2020 Summer Internship on Data Curation & Data Annotation SERVE AS INPUT for

  2020/2021 Academic Internship in

  Medical Text Analysis (MTA)

  with

  Natural Language Processing (MTA-NLP)

TASK #1:

USE ONE of the Three following INPUTS to be used in building the Proof of Concept described in

https://pharmaceuticalintelligence.com/2021-medical-text-analysis-nlp/

 

Three INPUTS to be used in building the Proof of Concept

WordCloud Visualization of LPBI’s Top Twelve Articles by Views at All Time and their Research Categories in the Ontology of PharmaceuticalIntelligence.com

Curators: Daniel Menzin, Noam Steiner-Tomer, Zach Day, Ofer Markman, PhD, Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2020/07/21/wordcloud-visualization-of-lpbis-top-twelve-articles-by-views-at-all-time-and-their-research-categories-in-the-ontology-of-pharmaceuticalintelligence-com/

 

WordCloud Visualization of LPBI’s Top Sixteen Articles on CANCER in eight categories and by Views at All Time and their Research Categories in the Ontology of PharmaceuticalIntelligence.com

Curator: Stephen J. Williams, PhD and WordCloud Producers: Daniel Menzin, Noam Steiner-Tomer, Zach Day, Ofer Markman, PhD and Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2020/07/30/wordcloud-visualization-of-lpbis-top-sixteen-articles-on-cancer-in-eight-categories-and-by-views-at-all-time-and-their-research-categories-in-the-ontology-of-pharmaceuticalintelligence-com/

 

WordCloud Visualization of LPBI’s Top Sixteen Articles on GENOMICS by Views at All Time and their Research Categories in the Ontology of PharmaceuticalIntelligence.com

Curators: Stephen J. Williams, Aviva Lev-Ari, PhD, RN and WordCloud Producers: Daniel Menzin, Noam Steiner-Tomer, Zach Day, Ofer Markman, PhD

https://pharmaceuticalintelligence.com/2020/07/30/wordcloud-visualization-of-lpbis-top-sixteen-articles-on-genomics-by-views-at-all-time-and-their-research-categories-in-the-ontology-of-pharmaceuticalintelligence-com/

 

TASK #2:

Expand applications of Microsoft AZURE to – See Overarching PLAN, above for updates

Series C: e-Books on Cancer & Oncology

Volume 1:

Cancer Biology and Genomics for Disease Diagnosis

http://www.amazon.com/dp/B013RVYR2K 

Volume 2:

Cancer Therapies: Metabolic, Genomics, Interventional, Immunotherapy and Nanotechnology in Therapy Delivery

http://www.amazon.com/dp/B071VQ6YYK 

and

Series B: Frontiers in Genomics Research

Volume 1: 

Genomics Orientations for Personalized Medicine

http://www.amazon.com/dp/B018DHBUO6

Volume 2:

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

https://www.amazon.com/dp/B08385KF87

 

PERSONAL PAGES OF INTERNS

Madison Davis, Research Assistant 1 – PERSONAL PAGE on 2021 Medical Text Analysis

Danielle Smolyar, Research Assistant 3 – PERSONAL PAGE on 2021 Medical Text Analysis

This page has the following sub pages.

• Madison Davis, Research Assistant 1 – PERSONAL PAGE on 2021 Medical Text Analysis
• Danielle Smolyar, Research Assistant 3 – PERSONAL PAGE on 2021 Medical Text Analysis