Schools must evolve to teach digital literacy, genetics, and sustainability—preparing students not just for future jobs, but for the world they live in today.

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

The Hematologic Malignancies Market is projected to grow from USD 72,200.85 million in 2024 to USD 128,481.41 million by 2032 ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Every living organism has its own genetic "blueprint": the source code for how it grows, functions and reproduces. This ...

A large MRI study of over 3,500 children identified three biologically distinct ADHD biotypes using brain network modeling and AI clustering. Each subtype showed unique brain patterns, genetic risks, ...

Some say we’ve entered a new age of AI-enabled scientific discovery. But human insight and creativity still can’t be ...

People with aphantasia have no mental imagery—and they’re offering brain scientists a window into consciousness ...

Microbiologist Karen Guillemin considered many universities when she was searching for her first faculty position 25 years ago. In the end, she came ...

Artificial Intelligence, Big data, Digital health, Global health, health news, Health technology, healthcare innovations, Medical Advancements, Telemedicine, ...

A new report shows that agricultural corporations and big tech is pricing innovation out of reach of smallholder farmers who need it most.

Artificial intelligence is emerging as a powerful tool for improving the diagnosis, phenotyping, and treatment of inflammatory skin diseases such as alopecia.