A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...
A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...
The findings position SII as a potentially valuable biomarker for risk stratification in patients with COPD and AF, with the identified threshold potentially serving as a clinical decision point for ...
Background Acute upper gastrointestinal bleeding (AUGIB) is a common medical emergency with evolving demographics and ...
Eating slowly and chewing well in Japanese adults were strongly associated with savoring food and avoiding eating with a full ...
Background: Chronic obstructive pulmonary disease (COPD) and atrial fibrillation (AF) frequently coexist, and their concurrence is associated with ...
LifeTracer uses machine learning to spot subtle molecular patterns that separate biological chemistry from nonliving organics ...
Abstract The prevalence of multiple sexual partners (MSPs) remains high worldwide, with sub-Saharan Africa reporting some of ...
ZME Science on MSN
Scientists Test Tiny Injectable Brain Chips That Could Treat Brain Disorders Without Invasive Surgery
Even newer “minimally invasive” ideas, like stent-mounted electrodes deployed through blood vessels, still require a catheter ...
A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological processes and could be ...
Objective Lupus nephritis (LN) is a prevalent renal manifestation in patients with SLE, with kidney biopsy remaining the gold ...
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