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Collaborative Team Doubles Number of In Vitro Patient-Derived Cancer Models Available for Research
A collaborative team led by investigators from Dana-Farber Cancer Institute and elsewhere developed 665 next-generation patient-derived cancer models across 27 common and rare forms of cancer and made the models plus relevant clinical and molecular data available as a resource to researchers around the globe to accelerate cancer advances.
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Early Action, Better Outcomes: Transforming Cancer Prevention
For more than 100 years, health advocates have spread the message that, with cancer, patience is not a virtue.
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Dana-Farber Researchers Explore AI's Potential Roles in Predicting and Diagnosing Cancer
In 2022 and 2023, you couldn't go a day without hearing about artificial intelligence (AI). Generative AI tools such as chatbots and art generators had become a central topic in everyday conversations. But AI in cancer has deeper roots. Twenty-five years before ChatGPT burst onto the scene, computers started playing a larger role in cancer diagnostics. In 1997, mammograms weren't even digital yet, but computers had started analyzing them. The tools, called expert systems, used hard-coded logic to read digital images of X-ray-based mammograms to look for signs of cancer.
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Finding Pancreatic Cancer Earlier - How Dana-Farber is Transforming the Narrative in the Early Detection and Treatment of a Stubborn Cancer
Pancreatic cancer is notoriously difficult to treat. It's commonly discovered at an advanced stage with distant metastases. But innovations in genetic testing and early detection at Dana-Farber are transforming this narrative — giving patients renewed hope for successful long-term treatment and even cures.