A new editorial was published in Oncotarget, Volume 16, on April 4, 2025, titled "Deep learning-based uncertainty quantification for quality assurance in hepatobiliary imaging-based techniques." Dr.
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A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
The agent, 68 Ga-aGPC3-scFv, coded as XH06, was shown to be safe, well-tolerated, and effective at providing high-contrast images of GPC3-positive liver tumors, offering a promising new tool for early ...
An increasing number of people are discovering fatty liver during routine ultrasound tests, often without any obvious ...
Fatty liver disease is becoming a growing health concern around the world. As more people live sedentary lives, eat ...
A new 2026 study reveals how chronic stress depletes NAD⁺, impairing immunity and accelerating liver cancer—while linking the ...
Share on Pinterest Could a heart drug combo help reverse fatty liver disease? Image credit: Maskot/Getty Images Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as ...
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