Healthcare & Medical Research
Conference Sessions

ADVANCING DISCOVERY TO TRANSFORM HEALTHCARE

Physicians, scientists, and researchers come together for impactful sessions on the future of AI across healthcare, pharmaceutical, and biomedical research at GTC. Explore how industry thought leaders use GPU-driven deep learning solutions to unlock the potential of evidence-based precision medicine, targeted therapeutics, and population healthcare strategies. These include everything from big 'omics and medical imaging to drug discovery and development.

ACR AND MICCAI JOINT MEETING

GTC features special sessions and an engaging panel discussion at the joint meeting between the American College of Radiology (ACR) and The Medical Image Computing and Computer Assisted Intervention Society ("The MICCAI Society").

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTIONS (MICCAI)
MICCAI Society President

From Promising Algorithms to Clinical Practice: Next Generation of Challenges

UNIVERSITY OF SHEFFIELD
Professor of Biomedical Image Computing

Accelerated Medical Device Development in Medical Imaging

AMERICAN COLLEGE OF RADIOLOGY (ACR)
ACR Data Science Institute Chief Science Officer

Harnessing AI: Creating a Healthcare AI Ecosystem

AMERICAN COLLEGE OF RADIOLOGY (ACR)
ACR Executive Vice President & Chief Information Officer

Workflow and Regulatory Challenges to Algorithm Implementation

NVIDIA
Healthcare and Life Sciences, Global Business Development Lead

From Challenges to Impact of Machine Learning in Clinical Practice

2018 FEATURED SPEAKERS

GOOGLE
Head of Deep Learning for Genetics and Genomics

An Introduction to Deep Learning in Genomics and its Application to Genome Sequencing

GENIA TECHNOLOGIES
Manager of Accelerated Computing Group, Sequencing, Roche Sequencing Solutions

Accelerating Nanopore Sequencing Using AI and Volta

GE HEALTHCARE
GM Analytics

GE's Evolution from HPC to AI in Healthcare

MAYO CLINIC COLLEGE OF MEDICINE AND SCIENCE
Senior Research Fellow

Automated Segmentation of Suspicious Breast Masses from Ultrasound Images   

UNIVERSITY OF PITTSBURGH
Assistant Professor

Deep Learning for Molecular Docking

JOHNS HOPKINS UNIVERSITY
Director of Hopkins Machine Learning and Healthcare Lab

How Will Machine Learning and Artificial Intelligence Change the Practice of Healthcare

STANFORD UNIVERSITY
Associate Professor, Radiologist

Deep Learning Improves Neuroimaging: Faster, Safer, Cheaper and Smarter

MEMORIAL SLOAN KETTERING CANCER CENTER
Director of Computational Pathology

Computational Pathology at Scale: Changing Clinical Practice One Petabyte at a Time

UNIVERSITY OF SHEFFIELD
Professor of Biomedical Image Computing 

Computational Precision Medicine - How Healthcare May Look Like in 10 Years Thanks to GPUs

NUANCE COMMUNICATIONS
Chief Medical Information Officer

AI Models to Clinical Practice: Open AI Marketplace for Diagnostic Imaging

UNIVERSITY OF WASHINGTON
Assistant Professor

Deep Learning Brings Disruptive Changes to Opthamology

GET HANDS-ON TRAINING

GET HANDS-ON TRAINING

Explore hands-on labs in deep learning training and deployment, and accelerated computing provided by the NVIDIA Deep Learning Institute.

2017 RELATED CONTENT

AI is completely reshaping life sciences, medicine, and healthcare as an industry. GPU-accelerated deep learning solutions are at the heart of this revolution. They’re enabling a new era of biomedical advancements—from real-time pathology assessment to point-of-care interventions to predictive analytics for clinical decision-making. Learn more about how AI-driven healthcare is taking center stage.

SEE YOU AT GTC 2019.