A predictive model utilizing serum metabolic profiles was able to distinguish ovarian cancer from control samples with 93% accuracy, according to a new study. Machine learning–based classification ...
Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple ...
Observational study examining the feasibility of generating real-world evidence (RWE) for new drug applications from the clinical trials database (DB; RELIASE study). This is an ASCO Meeting Abstract ...
Making a personalized T cell therapy for cancer patients currently takes at least six months. Scientists have shown that the laborious first step of identifying tumor-reactive T cell receptors for ...
AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...
The test, developed by Astrin Biosciences, utilizes deep proteomic profiling and a machine learning classifier to identify ...
In a recent study published in Molecular Psychiatry, researchers performed structural-type magnetic resonance imaging (sMRI) to develop a machine learning classifier and distinguish neuroanatomical ...
Making a personalised T cell therapy for cancer patients currently takes at least six months; scientists at the German Cancer Research Center (DKFZ) and the University Medical Center Mannheim have ...
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