A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...
Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...
Hespress on MSN
Study shows sharp oasis decline in southeastern Morocco’s Ternata over the past 40 years
A group of eight researchers has pointed to a steady decline in the Ternata Oasis, southeastern Morocco, over the past 40 ...
News Medical on MSN
Physical function metrics improve mortality prediction in elderly heart failure patients
Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...
News-Medical.Net on MSN
Gut bacteria patterns help predict insulin resistance in type 2 diabetes, study finds
By Hugo Francisco de Souza A new study shows that gut microbiome signatures, analyzed through advanced machine learning, can help identify individuals with more severe insulin resistance, offering ...
GE HealthCare Technologies Inc. GEHC recently announced FDA 510(k) clearance for three new magnetic resonance (MR) innovations — SIGNA Sprint with Freelium, a 1.5T sealed magnet MRI system; SIGNA Bolt ...
The FDA cleared the Signa Sprint with Freelium, Signa Bolt and Signa One. Signa Sprint is a 1.5T sealed magnet MRI system, ...
Super Mega Raids! Link Charges! Super Max tier!
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
As Raipur expands, the Kharun River Basin faces intensifying floods and sediment loads. Explore how climate change and land-use shifts are erasing the predictability of India’s monsoon heartland.
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