Breast cancer remains a global challenge, marked by diverse patient responses to treatments and varying prognoses. The ...

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

A novel 3D bioprinted gastric cancer model using patient-derived tissues predicts drug responses, enhancing personalized ...

Cancer models developed with 3D bioprinting technology allow for rapid evaluation of individual drug responses.

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

A collaborative research team led by Professor Jinah Jang from the Department of Mechanical Engineering and the Department of ...

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 ...

A collaborative research team from POSTECH has successfully developed a gastric cancer model using 3D bioprinting technology ...

Using preoperative chest CT scans, researchers identified novel preoperative biomarkers for lung cancer recurrence ...

AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early ...

Discover how AI and machine learning predict breast cancer recurrence locations and metastasis, improving risk assessment and ...