Al Algorithm Predicts Drug Targets, Leads to Promising Results for Experimental Cancer Treatment

January 2020

Running the Numbers: Computational Biology Student Neel Madhukar Designs a Powerful Tool for Optimizing Drug Development

May 2017

Artificial Intelligence Meets Drug Development

May 2017

Toxic targets: Saving lives in silico

April 2017

One Three Biotech Named “Best-in-Show” at New York 1st Pitch Life Science Competition

March 2017

Cornellians named to Forbes 30 under 30 list

Jan 2017

Batting it out of the Park

Jan 2017

Moneyball Could Offer Winning Strategy for Drug Development

September 2016

Using Machine Learning To Make Drug Discovery Better

September 2016

New tool predicts drug targets and IDs new anticancer compounds

April 2015

Leveraging Big Data to Accelerate Drug Discovery

April 2015

Weill Cornell Team Develops Computational Tool to Better ID Cancer Drug Targets

April 2015