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Онкология

Research team develops novel nanobody targeting tumor-fueling fluid to treat late-stage cancer of abdominal lining

Peritoneal metastases, a form of late-stage cancer that has spread to the lining of the abdominal cavity, carry a median survival of under nine months and currently have few effective treatments. A buildup of fluid in the abdomen known as ascites is known to actively fuel tumor growth, but the molecular contents of…

Онкология

Routine liver cancer checks could extend lives below current screening thresholds for alcohol-related cirrhosis

A new study led by investigators from Mass General Brigham found routine liver cancer screening to be cost-effective and life-extending for individuals with alcohol-associated cirrhosis, even when their annual risk of developing liver cancer is less than half the risk level guiding current screening recommendations.

Онкология

New study identifies immune trigger behind radiation-related lung damage

Researchers at City of Hope have uncovered an immune pathway that may contribute to radiation-related lung damage and have identified a potential strategy to block it. Published in Nature Communications, the insights from the preclinical study could lead to new treatments that prevent radiation from harming healthy…

Онкология

New PET imaging approach detects almost all lesions in common form of kidney cancer

A new PET imaging approach detected 97.9% of lesions in clear cell renal cell carcinoma (ccRCC), potentially giving clinicians a more complete picture of the location and extent of a patient's disease, according to research presented at the 39th Annual Congress of the European Association of Nuclear Medicine (EANM'26).

Онкология

AI facial health recognition tools help physicians assess age and survival risk to guide personalized treatment

Researchers are using AI tools to analyze simple facial photographs to determine key indicators of a person's health. Mass General Brigham researchers built FAHR-Face (Foundation Artificial Intelligence for Health Recognition), a large AI foundation model trained on over 40 million face images.