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AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
The Paragon Health Institute, a conservative health policy think tank, has launched an AI Initiative that will deliver market ...
Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithms ...
The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...
Tech Xplore on MSN
Patient privacy in the age of clinical AI: Scientists investigate memorization risk
What is patient privacy for? The Hippocratic Oath, thought to be one of the earliest and most widely known medical ethics ...
Interesting Engineering on MSN
Video: Humanoid robot obeys verbal commands to grab a Coke without any remote control
MenteeBot autonomously fetches a Coke, showing how robots can learn tasks through demonstration and verbal instructions.
New research explores how artificial intelligence foundation models trained on electronic health record data can be tested to ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
One year after the devastating January 2025 Los Angeles wildfires, new analysis from property insurance MGA, Delos Insurance Solutions, highlights a critical lesson for insurers, policymakers, and ...
Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework that enables accurate thermal field inversion in chiplet-based packaging ...
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