Harnessing AI To Expedite R&D

Pistoia-Elsevier Datathon Report: Big Data Mining and AI for Drug Repurposing

In the late Fall and Winter of 2018, the Pistoia Alliance in cooperation with Elsevier and charitable organizations Cures within Reach and Mission: Cure ran a datathon aiming to find drugs suitable for treatment of childhood chronic pancreatitis, a rare disease that causes extreme suffering.  The datathon resulted in identification of four candidate compounds in a short time frame of just under three months. In this webinar our speakers discuss the technologies that made this leap possible.

AI & ML in Drug Design

Creating novel drugs is an extraordinarily hard and complex problem.

One of the many challenges in drug design is the sheer size of the search space for novel chemical compounds. Scientists need to find molecules that are active toward a biological target or pathway and at the same time have acceptable ADMET properties.

There is now considerable research going on using various AI and ML approaches to tackle these challenges.

Our distinguished speakers, Drs. Alex Tropsha and Ola Engkvist, will discuss their recent work in Drug Design involving Deep Reinforcement Learning and Neural Networks, and will answer questions from the audience on the current state of the research in the field.

Data Quality in AI & ML in Life Sciences

Data Quality is at the heart of AI/ML and is one of the key challenges we face in Life Sciences to make AI a success.

In this panel we discuss how to address these data quality issues and what steps we need to take to improve things in the future. We will also look at practical ways to improve things now.

Demystifying AI: An Introduction to AI in Life Sciences Part 2

Through our Centre of Excellence for Artificial Intelligence (AI) in Life Sciences, we are uniting best practices, adoption strategies, and hackathons to address a diverse range of industry challenges. Key focus areas include considerations specific to life sciences, advanced machine learning concepts (Machine Learning 102), interpretability and explainability in AI (TIE), foundational knowledge of conversational AI (Bot Basics), and interactive Q&A sessions to deepen understanding and engagement.

Demystifying AI: An Introduction to AI in Life Sciences Part 1

Pistoia Alliance launched its Centre of Excellence for Artificial Intelligence (AI) in Life Sciences where we hope to bring together best practice, adoption strategy and hackathons covering a range of challenges.

Over the coming months we will be hosting a series of topics and speakers giving their perspectives on the role of Artificial & Augmented Intelligence in Life Sciences and Healthcare.

The topics will cover some of the current challenges, user stories & value in using AI in life sciences. If you want to get involved in this series as a speaker or suggest topics please get in touch

Webinar 1 will focus on the following:

  • A Brief History
  • Big Data/ML/DL/AI – fundamentals and concepts
  • Data Fidelity importance
  • Some best practices