3d
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 ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
A Ghanaian Scientist’s breakthrough research on fluorescent molecular probes could transform how the world detects cancer at ...
Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...
NEW YORK, NY, UNITED STATES, March 25, 2026 /EINPresswire.com/ -- While many retailers are still debating whether to ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
A Joint American-Israeli Achievement Perhaps no area better illustrates the strategic ROI of the U.S.-Israel partnership than ...
Atomic force microscopy (BioAFM) drives innovation in cosmetics and healthcare, ensuring product efficacy through precise ...
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CareDx introduces VANTx AI platform for complex transplant datasets
CareDx CDNA announced the launch of VANTx, an AI-driven, cloud-based clinical data and analytics platform. The platform is designed to convert complex transplant datasets into insights that support ...
Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.
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