Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

A squad of new AI algorithms called GAME could help astrophysicists take a more accurate reading of the universe’s behavior, ...

Cosmologists have spent decades trying to pin down exactly how fast the universe is flying apart and whether that rate is ...

Scientists at the Icahn School of Medicine at Mount Sinai have developed a novel artificial intelligence (AI) tool that not only identifies disease-causing genetic mutations but also predicts the type ...

Erratum: Development of an Automatic Rule-Based Algorithm for the Detection of Ovarian Cancer Recurrence From Electronic Health Records ...

Individual patient data (IPD) analysis of early PSA nadir in ARASENS, LATITUDE, and TITAN: Training and validation of a novel model. Assessing genomic instability (GI) by shallow whole-genome ...

Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of ...

“Not All Algorithms are AI” is a three-part deep dive into the evolution of algorithms, what brought us to generative AI, and how to understand what this technology will do for your business. In Part ...

In the Centre for the Fourth Industrial Revolution's Top Emerging Technologies of 2023 report, the organization nominated AI-facilitated healthcare as the 10th top global trend. After stressing how ...