Stanford Medicine will be the first to use a new technology that aims to heighten precision of radiation therapy in cancer patients.
In the Stanford Medicine course Walk with Me, students are paired with patients to learn about life with a chronic or serious illness.
Stanford physician Lucy Kalanithi opens up about loss, grief and love for her neurosurgeon husband, Paul, five years after his death from lung cancer.
Learn about chemo brain and what's new in cancer treatment, research and education in Stanford Medicine magazine's new issue highlighting the disease.
Stanford researchers are working on a test to identify early-stage lung cancer by detecting tumor-specific mutations in bits of DNA in the bloodstream.
Scientists create a new 3D lung cancer model to better reveal the drivers of cancer, and in doing so, find a new gene that may be a possible drug target.
A Stanford oncologist discusses how to improve cancer diagnosis and treatment, including using predictive modeling, liquid biopsies and immunotherapy.
A team led by Howard Chang has contributed key technology to enable new experimental cancer therapy that uses CRISPR to edit immune cells.
A Stanford medical student uses images from pathology to tell a story about the medical ethics of screening for prostate cancer.
In this episode of "The Future of Everything," host Russ Altman and guest Ross Shachter discuss how AI can help radiologists with diagnosis accuracy.
Surgeon Irene Wapnir and her colleagues developed a new technique for creating biological breast implants for women who have undergone a mastectomy.
PSA testing is an important tool to spot prostate cancer, but it remains a bit confusing. Stanford urologist James Brooks clarifies some misconceptions.
Screening more than 9,000 pairs of drugs helped Stanford and NIH scientists identify two drugs that synergize against a deadly childhood brain tumor.
Scientists at Stanford have developed a new PET scan tracer that flags both pancreatic cancer and a lung disease known as idiopathic pulmonary fibrosis.
A Stanford biomedical data scientist discusses how computational modeling of big data could help improve personalized chemotherapy selection in the future.
As physician Ilana Yurkiewicz writes, it can be challenging to treat a patient with a hematological emergency who is concerned about the cost of care.