Artificial intelligence algorithms powered by deep learning improve skin cancer diagnostic accuracy for doctors, nurse practitioners and medical students in a study led by the Stanford Center for Digital Health.

Stanford Medicine researchers develop a new imaging method to create a cell-by-cell reconstruction of skin or other tissue without taking a biopsy.

Soft tissue sarcomas are rare and difficult to treat. Machine-learning tools designed at Stanford Medicine uncover distinct cellular communities that correlate with prognosis, immunotherapy success.

A Stanford Medicine study identifies an easily measured biophysical property that can identify Type 2 diabetics at increased risk for liver cancer who don’t meet current screening guidelines.

Treatment of metastatic disease is responsible for nearly one-third of the decrease in annual deaths from breast cancer from 1975 to 2019, according to a Stanford Medicine-led study.

Circulating tumor DNA predicts recurrence and splits disease into two subgroups in Stanford Medicine-led study of Hodgkin lymphoma. New drug targets or changes in treatments may reduce toxicity.

Pancreatic cancer is deadly, and its toll is growing. Scientists find that scar tissue around the tumor suggests how long a patient will live after diagnosis.

To drive their growth, many tumors hijack nervous system signals, including those needed for brain plasticity. Stanford Medicine discoveries are opening a promising new branch of oncology research.

National guidelines for lung cancer screening are less effective for African Americans than for whites, Stanford study concludes. A risk-based analysis is more equitable and effective.

Small cell lung cancers often metastasize to the brain. A Stanford Medicine study shows they thrive there by emulating developing neurons and recruiting surrounding cells for protection.