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REGISTRATION & LIGHT BREAKFAST

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WELCOME

INTRODUCTION TO AI IN PHARMACEUTICALS

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Practical Impacts of AI in Pharmaceuticals

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Challenges for Delivering Machine Learning in Pharma

ARTIFICIAL INTELLIGENCE AIDED DRUG DISCOVERY

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Jonathan Stokes

Jonathan Stokes - Banting Fellow - Broad Institute of MIT and Harvard

Training a Deep Neural Network for New Antibiotic Prediction

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Jian Tang

Jian Tang - Assistant Professor - HEC Montreal

Graph Representation Learning for Drug discovery

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COFFEE

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Pablo Cingolani

Pablo Cingolani - Principal Scientist - AstraZeneca

Machine Learning Pipelines

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Automate Research Using Machine Learning Algorithms

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Re-Purposing Old Drugs for New Diseases

PRE-TRIAL PHARMACOVIGILANCE

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Ola Ajayi

Ola Ajayi - Senior Data Scientist III - Biogen

Predicting Drug Interactions using ML

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LUNCH

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Using AI for Adverse Events Signalling

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Adverse Effects Image Fingerprinting using CNN Deep Learning as a Means for Individual Case Safety Report Classification

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DeepTox and PrOCTOR: Deep Learning in Toxicity Prediction

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COFFEE

PLENARY SESSION

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How AI Discovered a Drug Candidate at Deep Genomics

COMPLIANCE & ETHICS

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Scalable and Accurate Machine Learning with Electronic Health Records

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PANEL: The Future of AI in the Health and Pharmaceutical Industry

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CONVERSATION & DRINKS

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END OF DAY 1

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REGISTRATION & LIGHT BREAKFAST

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WELCOME

START UP SESSION

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AI & Pharmaceutical Commercialization

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Data Mining Records with Machine Learning

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Programming Living Cells for Next Generation Therapeutics

PRECISION MEDICINE & PHARMACOGENOMICS

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Gregory Ryslik

Gregory Ryslik - Chief Data Officer - Celsius Therapeutics

From Single Cell Genomics to Drug Targets: Leveraging ML & AI to Discover Biological Insights

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COFFEE

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Feixiong Cheng

Feixiong Cheng - Assistant Professor - Cleveland Clinic

Networking Medicine and AI in Precision Cardio-Oncology: Learning from Cleveland Clinic Epic Systems

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Niha Beig

Niha Beig - PhD Candidate - Case Western Reserve University

Keeping Gender in Mind: Applications of Machine Learning in Neuro-Oncology

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Artificial Intelligence & Pharmacogenomics

CLINICAL TRIALS

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AI and Machine Learning Approaches in Clinical Trials

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LUNCH

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Machine Learning to Effectively Match Patients and Trials

DATA

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Unleashing the Power of your Data

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Boost Clinical Performance by Decreasing Data Entry Errors

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PANEL: Is Inter-industry Collaboration Essential for the Successful Integration of AI in Pharmaceuticals?

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END OF SUMMIT

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Day 1

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New to AI in Healthcare? Time to Ask Questions!

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Day 1

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Introduction to Deep Reinforcement Learning

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Day 1

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Introduction to Deep Learning for ADME/TOX Prediction

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Day 1

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AI Strategy to Alleviate the Medical Practitioner's Workload

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Day 1

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Introduction to NLP

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Day 2

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Rising Star Session

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Day 2

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Investor Panel & Networking Session

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Day 2

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Lunch & Learn- Network and Learn over the lunch break

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Day 2

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Question Wall Discussions

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