Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have ...
Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...
In a recent study published in The Lancet Digital Health, researchers discuss the development and validation of a combined model comprising imaging, clinical, and cell-free deoxyribonucleic acid (DNA) ...
With the help of machine learning, scientists have identified a plethora of previously-unidentified drug targets for breast cancer, cervical cancer, glioblastoma and more. In a study published Jan. 11 ...
Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Clinical trial data were used and contained ...
AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research ...
For over three decades, a highly accurate early diagnostic test for ovarian cancer has eluded physicians. Now, scientists in the Georgia Tech Integrated Cancer Research Center (ICRC) have combined ...
Researchers created a model that uses clinical testing data to locate the primary site of cancer cells with no known origin, likely improving survival. Using NGS data from 36,445 tumor samples with ...
While the buzz around generative AI continues to build, physicians at advanced cancer centers, startups and biomedical companies are seeing the potential for gen AI solutions to advance cancer ...
The manufacturing process for personalized T-cell therapies hardly begins before it stalls. Why? Right at the start, there is a severe bottleneck: the need to identify patient-derived, tumor-reactive ...
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