Some ideas in machine learning are so deceptively simple that their full impact takes years to appreciate. Classifier chains, ...
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 ...
Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...
Making a personalized 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 ...
The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Machine Learning Meets Classical Statistics to Catch the Subtle Fingerprints of Polygenic Adaptation
One of the most stubborn problems in modern population genetics is not finding evidence of adaptation in the genome, but ...
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