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 ...

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 ...

Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple ...

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 ...

In a recent study published in Nature, researchers developed Sturgeon, a patient-agnostic transfer-learned neural network, to enable molecular subclassification of central nervous system (CNS) ...

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 ...

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food. The extent to ...

Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...