Emerging AI Technologies

AI technologies are essential to the advancement of precision medicine. There is no shortage of examples of how they can be leveraged from R&D to translational research, clinical trials, and real-world data. However, the current round of solutions can be expensive and complex to deploy and manage. The Emerging AI Technologies track will explore currently deployed use cases of AI technology, what problems have been addressed successfully, where there are some challenges, and what future technology developments to keep an eye on, such as machine vision, emotion gestures/affective computing, NLP, NLG, knowledge graphs, deep learning, reinforcement learning, quantum computing, synthetic data, and more. Hear from pharma industry use cases, as well as technology users and emerging technology solution providers. How can these emerging AI technologies move from correlation to causality analysis?

Preliminary Agenda

MACHINE LEARNING AND DEEP LEARNING

AI-celerating Pre-Clinical Research: Machine Learning, Deep Learning, and Robotic Process Automation to Scale Crystallography Throughput

Brian Martin, Head of AI, AbbVie R&D Information Research

CO-PRESENTATION: Harnessing Machine Learning to Identify Causal Drivers of Operational Success in Clinical Trials

Sylvia Marecki, PhD Design Analyst, Operational Design Center (ODC), Global Clinical Operations, EMD Serono, Inc., an affiliate of Merck KGaA, Darmstadt, Germany
Omesan Nair, PhD, Design Analyst, Operational Design Center (ODC), Global Clinical Operations, Merck KGaA, Darmstadt, Germany

Automated Information Extraction from Pathology Reports Using Natural Language Processing

Vishakha Sharma, PhD, Lead Data Scientist, Roche

AI AS A DISRUPTIVE TECHNOLOGY IN R&D

Quantum-Computing Use Cases at Bayer

Dirk Schapeler, Vice President Emerging Technology Solutions, Bayer

Applications of Groundbreaking AI Technology to Produce Realistic, Fully De-identified Patient Data to Test and Validate Preclinical Modeling Methods

Kimberly Robasky, Head of Translational Science, Renaissance Computing Institute (RENCI)

Combining Differential Privacy with AI/Analytics Applications

Eric Neumann, PhD, Founder & CEO, AIDAKA LLC

CompBio: An Augmented Intelligence System for Comprehensive Interpretation of Biological Data

Prof. Richard Head, MS, Professor, Genetics and Pathology & Immunology; Director of Genomics, McDonnell Genome Institute Genetics; Genome Technology Access Center at the McDonnell Genome Institute, Washington University School of Medicine


Platinum Sponsors

accenture

BenchlingNEW

Elsevier-square

L7-informatics

linguamatics

PerkinElmer

Weka