Smart digital health has reshaped patient monitoring, but it faces a fundamental trade-off between device intelligence and continuous, energy-efficient monitoring. Inspired by self-sustaining ...
Sudden cardiac death kills about 300,000 people in the U.S. each year, even though implantable defibrillators have been able to stop many lethal arrhythmias for decades. The main issue today isn’t in ...
The experimental app, internally called “Arena,” would be independent of Facebook and Instagram. It could compete for attention with Polymarket and Kalshi, the biggest prediction markets. By Mike ...
The heart disease classification dataset was randomly divided into training and validation sets with an 8:2 ratio. Constrained feature space augmentation was performed within the training set, and the ...
Adolescent depression, characterized by high incidence rates and significant recurrence risks, has emerged as a major global public health concern. Current diagnosis relies predominantly on subjective ...
AI-based pre-screening of BRCA1/2 mutation likelihood from routine H&E histopathology in unselected breast cancer cases using peakPredictBRCA. This is an ASCO Meeting Abstract from the 2026 ASCO ...
Scientists have created an AI-powered "grape ripeness detector" designed to make wine production more efficient, combining the use of technology with vineyard expertise in pursuit of the best wine for ...
Chronic kidney disease (CKD) and heart failure (HF) share pathophysiological mechanisms, rendering HF one of the most burdensome cardiovascular complication in CKD. Current HF prediction models, ...
Cardiovascular disease (CVD) remains the leading cause of death worldwide and poses a serious preventive challenge to healthcare organizations [1]. Early and accurate risk stratification is therefore ...
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