The first quantum computer set up to support healthcare research in the United States has been delivered.

Cynthia Rudin, PhD, is a highly regarded computer scientist who’s been eyeing the advance of artificial intelligence into society with equal parts enthusiasm and concern.  

Researchers across the pond have developed and externally validated an AI model that can predict flareups of ulcerative colitis. 

By now it’s a difficult-to-dispute likelihood: AI won’t replace doctors making diagnoses, but doctors who use AI will displace doctors who don’t use AI. The hypothesis gets a fresh airing out from the vantage point of the general public. 

The project may inform theories of human neurodevelopment as dynamically as it advances computer and data science.

The company is focused on AI-powered blood tests that can potentially identify the early signs of cancer. 

Researchers have used AI and 3D modeling to identify more than 100 heretofore undiscovered protein complexes and classify more than 700 that were known but until now remained obscure.

Researchers have used deep learning to predict success, failure or complications in transplanted kidneys by analyzing pathology slides at scale.