Oncology & Cancer

New software tool uses AI to help doctors identify cancer cells

UT Southwestern researchers have developed a software tool that uses artificial intelligence to recognize cancer cells from digital pathology images—giving clinicians a powerful way of predicting patient outcomes.

Neuroscience

Brain diseases with molecular diversity

Parkinson's and multisystem atrophy (MSA), both neurodegenerative diseases, are associated with the accumulation of alpha-synuclein proteins in the brain. Researchers at the German Center for Neurodegenerative Diseases (DZNE) ...

Oncology & Cancer

Immune response against skin-dwelling viruses prevents cancer

Viruses get a bad rap as potential cancer-causers, but at least one class of viruses that commonly live on human skin—so-called "low-risk" human papillomaviruses—appear to play an unwitting role in protecting us against ...

Oncology & Cancer

Clues from DNA could predict growth of prostate cancer

Researchers from the UCLA Jonsson Comprehensive Cancer Center and other institutions in the U.S., Canada, the United Kingdom and Singapore, have identified 1,178 biomarkers in men's genomes—the complete set of genetic material ...

Oncology & Cancer

Building a brighter way for capturing cancer during surgery

University of Texas at Dallas researchers have demonstrated that imaging technology used to map the universe shows promise for more accurately and quickly identifying cancer cells in the operating room.

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