Machine Learning / Artificial Intelligence

From PhUSE Wiki
Jump to: navigation, search

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.

Project Leads

Name Role Organization E-mail
Nicolas Dupuis Project Lead d-Wise
Kevin Lee Project Lead Clindata Insight
Wendy Dobson PhUSE Project Manager PhUSE

Project Members

Amit Jain Participant GSK
Alex Mutuki Participant Phastar
Christopher Kuhn Participant Syneos Health
Doug Leonard Participant Prahs
Gary Chen Participant Pfizer
Hui Song Participant Prahs
Jacob Mathew Participant GCE
Julia Popova Participant Independent
Jiangtang Hu Participant d-wise
Jinesh Shah Participant CSLBehring
Karl Brand Participant Bayer
Karnika Dalal Participant Bayer
Kathryn Matto Participant IBM
Keval Khinchadia Participant Independent
Neelima Thinner Participant BMS
Michael Upshall Participant Unsilo
Mikael Flensborg Participant Unsilo
Mina Chen Participant Roche
Nick Burch Participant Quanticate
Paul Slagle Participant Inventiv Health
Piotr Karasiewicz Participant Quanticate
Prasanna Murugesan Participant Independent
Russ Lavery Participant Verizon
Sairam Gorthi Participant JNJ
Santos K Lingala Participant Syneos Health
Sarah Bowen Participant Quanticate
Shaaz Ansari Participant Gene
Tania Walton Participant Independent
Thomas Kalfas Participant GCE
Vishnu Kollisetti Participant PPDI
Vishnu Alamuri Participant Independent
Jay Gohel Participant JNJ
Jiannan Kang Participant Merck
Christine Teng Participant Merck
Anupama Sheoran Participant Bayer
Sumeet Uppal Participant Boehringer-Ingelheim
Ryan Adalbert Participant Chiltern
Ashokvardhan Gunuganti Participant Pfizer
William Wei Participant Merck
Vimal Shah Participant Parexel
Vineet Sharma Participant Sarepta
Santosh Tymms Participant
Saranga Ram Participant Ratilan
Sherry Wang Participant GSK
Walter Cedeno Participant JNJ
Raj Thota Participant Merck
Gopal Subrahmanyam Participant Emdserono
Yongjiang (Jerry) Xu Participant JNJ

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