Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology We used an innovative machine learning approach to analyze ...

Enterprise software is undergoing a major transformation as machine learning becomes deeply embedded into core digital products. Organizations are no longer using ML only for experimental analytics; ...

DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...