More than 200 metabolic enzymes, many of which are normally tasked with producing energy in the mitochondria, are also found ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

Scientists at MIT and Stanford have unveiled a promising new way to help the immune system recognize and attack cancer cells more effectively. Their strategy targets a hidden “off switch” that tumors ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

Cedars Sinai tool predicts the best chemotherapy regimen for advanced pancreatic cancer using AI analysis of biopsy images.

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...

Researchers from the Johns Hopkins Kimmel Cancer Center and The Johns Hopkins University have created a novel database ...

In a development that could transform how scientists study cancer, neurodegeneration and inflammation, researchers have invented a new sensor that enables MRI machines to visualize molecular activity ...

This important study demonstrates that a peri-nuclear actomyosin network, present in some types of human cells, facilitates kinetochore-spindle attachment of chromosomes in unfavorable locations - ...

College athletes now have more rights to their name, image, and likeness (NIL) Vikki Velasquez is a researcher and writer who has managed, coordinated, and directed various community and nonprofit ...

This manuscript describing the phenotypes associated with loss and gain of RVCL-S documents important findings that have practical implications. Although the data and methods are solid and support ...