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
Andy Jung Participant Industry Aldir Medeiros Filho Participant Industry
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
Bowen Lu Participant Sunovion
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
Harshal khanolkar Participant Industry
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
Mominul Islam Participant Serepta
Michael Allie Participant Astrazeneca Michael Upshall Participant Unsilo
Mithun Kumar Participant Mikael Flensborg Participant Unsilo
Mina Chen Participant Roche Paul Slagle Participant Industry
Piotr Karasiewicz Participant Quanticate Pratyusha Kajipet Participant Syneos Health
Prasanna Murugesan Participant Independent Phani Ponnapalli Participant Syneoshealth
Russ Lavery Participant Verizon Priya Gopal Participant CSG-inc
Raj Thota Participant Merck Ramesh Naidu Kavicharla Participant CRC Pharma
Robert Michalik Participant Regulatory Pro Consulting Richard Phillips Participant Covance
Satheesh Avvaru Participant MaxisIT Inc Sairam Gorthi Participant JNJ
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

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