Bio-IT World Contributed Commentary | Over the last decade, early business uses of Artificial Intelligence (AI), or machine learning, in life sciences have proven successful in drug discovery – predicting molecule-target bonding, identifying new biomarkers, and uncovering new drug indications. Now machine learning is gaining broader traction into other areas, including commercial operations, and transforming the way the industry collects, synthesizes, and uses data.

Bio-IT World | If you are creating a tool designed to give a sixth sense, of course you name it after a semiaquatic, egg-laying mammal endemic to eastern Australia. Not unlike the animal, Takeda’s Platypus is made up of various parts, specifically designed to meet the medical reviewer’s needs.

Bio-IT World | March featured exciting new, products, and partnerships from around the bio-IT community from innovating companies, organizations, and universities, including PAREXEL, Vanderbilt University, Boehringer Ingelheim, and more.