Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...

A new analysis of gene expression in blood samples suggests that specific biological signs of Parkinson’s disease are ...

Study finds more than 13% prevalence of low bone mineral density in younger patients with celiac disease and a rising ...

Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...

The Law of Mass action predicts that all adverse drug reactions are related to the concentration of the drug at the site of ...

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Objectives Female sex and anticitrullinated protein antibodies (ACPA) are associated with higher disease activity in ...

New research shows supervised machine learning models combining Helicobacter pylori genomic data with patient demographics can accurately predict gastric cancer risk.

Patients’ financial resources affect their enrollment in oncology clinical trials to a greater degree than traditional ...