Machine Learning / Artificial Intelligence

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Project Overview

The most popular buzz word nowadays in the technology world is 'Machine Learning' (ML) and Artificial Intelligence (AI). Most economists and business experts foresee ML & AI changing every aspect of our lives in the next 10 years through automating and optimizing processes such as self-driving vehicles, online recommendations on Netflix and Amazon, fraud detection in banks, image and video recognition, natural language processing, question answering machines (e.g., IBM Watson) and many more. ML is a game changer and it will also impact the pharmaceutical industry greatly; diagnosis in medical imaging, analysing the deluge of healthcare data, drug discovery, robotic surgery and personalised medicine for example.

This project will explore its application to the pharmaceutical industry. Our goal is first to introduce ML & AI to the pharmaceutical industry. ML & AI are foreign to most programmers and statisticians in the pharmaceutical industry. This project will help them to start ML & AI educations materials. Secondly we will explore how ML & AI can foster innovative approaches in data-driven research and drug development, personalised medicines, faster drug discovery and many more.

The ML/AI project has split into 5 sub-teams

  • Data Collaboration
  • Publication
  • Implementation in Pharmaceutical Industry
  • Projects
    • Tumor Assessment
    • SDTM Mapping
    • Chatbot Development

Project Leads

Name Role Organization E-mail
Kevin Lee Project Co-Lead Clindata Insight
Sairam Gorthi Project Co-Lead J&J
Lauren White Project Co-ordinator PHUSE

Project Members

Name Role Organization E-mail Name Role Organization E-mail
Abhishek Mittal Participant GCE Solutions Andy Iverson Participant Medtronic
Ashwin Participant GSK Amardeep Pandey Participant Deloitte
Anupama Sheoran Participant Bayer Ansari Shaaz Participant Gene
Akhil Vijayan Participant Genpro
Amit Jain Participant GSK Aman Bahl Participant Syneos Health
Ashokvardhan Gunuganti Participant Pfizer Alex Mutuki Participant Phastar
Azia Tariq Participant GSK Bhavin Busa Participant Vita Data Sciences
Bhawna Goel Participant AstraZeneca Christopher Kuhn Participant Syneos Health
Christine Teng Participant Merck Chintan Pandya Participant Merck
David Schmeidler Participant Regenxbio Daryna Hololovich Participant Intego
Eric Weising Participant Ratilan
Faheeza Rangunwala Participant GCE
Fred Ross Participant Quanticate Freddie Paino Participant Celgene
Gary Chen Participant Pfizer Gopal Subrahmanyam Participant Emdserono
Hui Song Participant Prahs Hrideep Antony Participant Syneos Health
Imran Rashid Participant JNJ Jay Gohel Participant JNJ
Ingeborg Holt Participant Industry Sangeeta Bhattacharya Participant JNJ
Jiannan Kang Participant Merck Jacob Mathew Participant GCE
Julia Popova Participant Independent Jiangtang Hu Participant d-wise
Jinesh Shah Participant CSLBehring Joyce Leflar Participant JNJ
Khyati Patel Participant Syneos Health
Karl Brand Participant Bayer Karnika Dalal Participant Bayer
Kathryn Matto Participant IBM Keval Khinchadia Participant Independent
Lorin Miller Participant GCE Solutions Li Chen Participant BMS
Lubomir Tarabcak Participant JNJ Matthew Travell Participant GSK
Lynn Caldwell Participant Pfizer Sesh Srinizasan Participant Deloitte
Martin Fleming Participant Boehringer-ingelheim Marko Zivkovic Participant Genesis
Marek Kajan Participant JNJ Munish Mehra Participant Tigermed
Michael Allie Participant Astrazeneca Michael Upshall Participant Unsilo
Mithun Kumar Participant
Mikael Flensborg Participant Unsilo Mina Chen Participant Roche
Nick Burch Participant Quanticate Paul Slagle Participant Inventiv Health
Piotr Karasiewicz Participant Quanticate Pratyusha Kajipet Participant Syneos Health
Prasanna Murugesan Participant Independent Raj Thota Participant Merck
Phani Ponnapalli Participant Syneoshealth Russ Lavery Participant Verizon
Priya Gopal Participant Industry Robert Michalik Participant Regulatory Pro Consulting
Richard Phillips Participant Covance Satheesh Avvaru Participant MaxisIT Inc
Sairam Gorthi Participant JNJ Sagar Jain Participant Independent
Santos K Lingala Participant Syneos Health Sarah Bowen Participant Quanticate
Santosh Tymms Participant Quanticate Sam Tomioka Participant Sunovion
Sudir Singh Participant Nektar Theapeutics
Sherry Wang Participant GSK Shantanu Nagpal Participant Novartis
Sumeet Uppal Participant Boehringer-Ingelheim Sundar Selvatharasu Participant SierraLabs
Tania Walton Participant Independent Thomas Kalfas Participant Geninvo
Tarun Prashanth Participant Ratilan Tatiana Scetinina Participant AstraZeneca
Vishnu Kollisetti Participant PPDI Vishnu Alamuri Participant Independent
William Wei Participant Merck Vimal Shah Participant Parexel
Vineet Sharma Participant Sarepta Walter Cedeno Participant JNJ
Yixun Wu Participant Syneos Health Yongjiang (Jerry) Xu Participant CSL Behring
Ramesh Naidu Participant CRC Pharma

Project Updates

Provide project updates in this section.
Date: Description of Update

Objectives and Timelines

List proposed project deliverables and timelines.

Objective Timeline
Gather Machine Learning & Artificial Intelligence education materials 01.Jun.2018
White Paper on Machine Learning & Artificial Implementation on Pharmaceutical Industry 12.Dec.2018

Project Activities

This section can document project activities or serve as a jumping off point to other pages in the project.

Meeting Minutes

Archived Content