Abstract: Federated learning (FL) enhances data privacy and compliance with data regulations by enabling multiple decentralized parties to collaboratively train machine learning models without sharing ...
A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...
Scientists have successfully tested an AI-designed universal coronavirus vaccine in humans. Here is how this needle-free ...
The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...
Epilepsy isn't always easy to diagnose. Seizures often don't occur during routine brain-wave recordings (EEGs), leaving ...
Epigenetic aging clocks use DNA methylation patterns to measure biological age and predict health risks across human tissues.
Depression is a highly common mental health condition that affects millions of people worldwide. Medical professionals have established that the disorder arises from a combination of biological ...
Many common mental health disorders, including depression and anxiety, are associated with a tendency to internalize problems or, in other words, to direct feelings inwards instead of expressing them ...
In 2026, artificial intelligence (AI) systems are deployed at scale to support clinical decision-making. Algorithms detect cardiac arrhythmias from ECGs, classify skin lesions from photographs and ...
Abstract: Different from conventional wireless sensor networks (WSNs), ultra-reliable and low-latency WSNs (uRLLWSNs), being an important application of 5G networks, must meet more stringent ...
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Researchers at the University of Toronto are leveraging machine learning to improve additive manufacturing – more commonly known as 3D printing. The researchers say the approach can be used to produce ...
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