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IIT Kanpur announces online certificate programme in AI, machine learning and deep learning: Registration Open
IIT Kanpur has opened registrations for a certificate programme focused on Python, Artificial Intelligence (AI), Machine ...
Shingles vaccine uptake increased, but prediction models showed calibration drift. Read more about the clinical implications.
Among critically ill patients with AECOPD, machine learning models using ICU data could help predict their 28-day mortality risk.
Brain activity is commonly studied across frequency ranges such as delta, theta, alpha, beta, and gamma. These signals are complex, noisy, and non-stationary, and they can be affected by eye movements ...
Machine Learning Model IDs Heart Failure With Reduced Ejection Fraction Using Routine Lab Indicators
A 13-indicator routine laboratory model shows moderate discrimination for distinguishing heart failure with reduced ejection fraction (HFrEF), according to a ...
Background Antiretroviral therapy (ART)-treated people with HIV (PWH) have increased risk of heart failure with preserved ...
Background and objectives The History, ECG, Age, Risk factors and Troponin (HEART) score is widely used for emergency ...
XGBoost accurately stratified early recurrence risk after curative HCC resection, outperforming logistic regression.
BACKGROUND: Cardiac troponin is increasingly used for cardiovascular risk prediction. While abnormal values often reflect ...
Three tools target targeting different stages of kidney disease assessment. The first one predicts chronic kidney disease.
With the growing prevalence of artificial intelligence (AI), demand increases for hardware that mimics the brain’s ability to ...
A year of HBR's essential thinking on tech--all in one place. AI agents, real-time satellite data, GLP-1 medications, humanoid robots--new technologies... Book HBR's 10 Must Reads 2027: The Definitive ...
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