Researchers have developed a groundbreaking AI model that identifies tumor-fighting immune cells, enhancing cancer ...

A new artificial intelligence model developed by Stanford Medicine combines clinical notes and pathology images to predict ...

Researchers at the Johns Hopkins Kimmel Cancer Center and Bloomberg~Kimmel Institute for Cancer Immunotherapy have developed ...

Beyond improving accuracy, xAI allowed researchers to compare prognostic markers across different cancer types, unveiling ...

Scientists have successfully developed a gastric cancer model using 3D bioprinting technology and patient-derived cancer tissue fragments. This innovative model preserves the characteristics of actual ...

Researchers at the Johns Hopkins Kimmel Cancer Center and Bloomberg~Kimmel Institute for Cancer Immunotherapy have developed a computer model to help scientists identify tumor-fighting immune cells in ...

However, mechanistic studies to support the conclusion that mitochondrial function is increased in the tumours remain incomplete and would benefit from experiments that would directly interrogate ...

Researchers at the Johns Hopkins Kimmel Cancer Center have developed a computer model to help scientists identify tumor-fighting immune cells in patients with lung cancer treated with immune ...

Stanford Medicine has developed a vision-language artificial intelligence (AI) model that can predict cancer outcomes, such as forecasting melanoma relapses and patient responses to immunotherapy.

Findings indicate that altering glucose metabolism in T cells boosts their therapeutic potential against melanoma, paving the way for improved immunotherapies.