Development and Validation of an Artificial Intelligence Digital Pathology Biomarker to Predict Benefit of Long-Term Hormonal Therapy and Radiotherapy in Men With High-Risk Prostate Cancer Across ...

OAK BROOK, Ill. – An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive ...

As healthcare systems worldwide grapple with rising cancer rates, chronic diseases and limited clinical resources, ...

Donafenib plus TACE with or without PD-(L)1 inhibitors for the treatment of unresectable hepatocellular carcinoma: A multi-center retrospective study. This is an ASCO Meeting Abstract from the 2025 ...

Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

A new study presented at the International Association for the Study of Lung Cancer 2025 World Conference on Lung Cancer (WCLC) validates the use of Sybil, a deep learning artificial intelligence ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

Innovative deep proteomic profiling reveals promising results from a blood-based test for early breast cancer, showcasing high sensitivity and specificity, explains Justin Drake, PhD. Current standard ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

Max Delbrück Center for Molecular Medicine in the Helmholtz Association Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment.