The symbiotic relationship between machine learning and chemistry holds the promise of unlocking insights and accelerating ...

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

Besides building analytical solutions for a large-scale organization, Sree Hari Subhash, an international IT expert, has ...

The global agentic AI in healthcare market is set to witness a growth rate of 35-40% in the next 5 years. Increasing demand ...

The field of artificial intelligence (AI) is now revolutionizing the medical sector, particularly in the discovery of new antibiotics. Thanks to AI, new antibiotics have been discovered in a fraction ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Artificial intelligence relies on machine learning algorithms trained on massive datasets to make predictions—think of how ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research ...