Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...
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 ...
The Law of Mass action predicts that all adverse drug reactions are related to the concentration of the drug at the site of ...
A new analysis of gene expression in blood samples suggests that specific biological signs of Parkinson’s disease are ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
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 ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
Patients’ financial resources affect their enrollment in oncology clinical trials to a greater degree than traditional ...
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
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