In A Nutshell AI tools that track how the body’s molecular networks change over time may detect diseases like cancer, ...

Alumna, author and machine learning expert Vivienne Ming explains why the best defense against AI’s downsides is investing in human skills — and using the technology inquisitively, not passively ...

Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.

Cancer metabolism has re-emerged as a central hallmark of tumor initiation, progression, and therapeutic resistance. Advances in high-throughput ...

Despite increasing use of artificial intelligence (AI) in health care, a new study led by Mass General Brigham researchers from the MESH Incubator shows that generative AI models continue to fall ...

Programmable care rise enables health systems to deliver proactive, continuous care using AI and real-time data across patient journeys.

A new study using an advanced “digital twin” artificial intelligence model has found that factors such as loneliness, insomnia and poor mental health substantially raise a person’s future risk of ...