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Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), and specifically machine learning (ML), in health care and within cardiovascular medicine.

This book is focused on emphasizing ML for biomedical applications and aims at providing a comprehensive summary of the past and present of AI, basics of ML as well as clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine.

Stanford Seminar - Federated Learning in Medicine: Breaking Down Silos to Advance Medical Research

Dr. Thomas Clozel OWKIN October 24, 2019 Thomas is the CEO and Co-Founder at OWKIN, leading medical research and business intelligence. He is a former ...

Current research at Weill Cornell and the New York Genome Center

Dan Landau, MD, PhD, of Weill Cornell Medical College and the NYGC, New York, NY, discusses current research at the two institutions he is affiliated with.

Genomics and acute leukemia management: artificial intelligence, deep learning & pre-leukemic clones

An interesting session on the impact of genomic data on the management of acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) was held at ...

How Weill Cornell Medicine built a chatbot for clinicians to gain fast access to medical data

Microsoft joined the Englander Institute of Precision Medicine (IPM) at Weill Cornell Medicine for a weeklong hackfest to develop a chatbot that supports both text ...

The Results Are In: Predictive Technology and Your DNA Map

Speaker: Christopher Mason, Director, WorldQuant Initiative for Quantitative Prediction; Associate Professor, Weill Cornell Medicine The concerns our parents ...

What does the future hold for robotics in medicine?

What does the future hold for robotics in medicine? Medical experts from Weill Cornell Medicine discuss this fascinating topic. Subscribe for more videos like ...

MATCHED MY #1 PROGRAM!! (REACTION!) - Interventional Radiology

Now that match is officially over, I can finally release my match day video! I filmed the whole thing so all reactions are 100% real-time! I think you'll be able to tell ...

AI for Good Panel - Precision Medicine | SXSW 2017

Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models

Authors: Mengying Sun (Michigan State University); Fengyi Tang (Michigan State University); Jinfeng Yi (Tencent AI Lab); Fei Wang (Weill Cornell Medical ...

RSNA17: Precision Medicine

Our RSNA booth guide Chris Brow is back again to take a deeper look into precision medicine. He catches up with Sabine Schäffer-Kundler, Jan Chudzik, and ...