Researchers explored how machine learning and quantum computing can be used to improve early detection of chronic kidney ...

Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

MRI radiomics model uses pituitary scans to accurately predict growth hormone deficiency in children, providing a non-invasive diagnostic alternative.

The kidney is one of the body's most vital organs, responsible for filtering waste, balancing electrolytes and maintaining overall health. Any impairment to its function can lead to serious and often ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

Discover how drones and AI are revolutionizing Indian agriculture, enhancing yields and sustainability through precision data-driven farming.

Joint components contributed substantially to model performance, while distinct components captured phase-specific variations.

The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...

If you’re a Linux-heavy user who conducts home lab experiments on containers, you can even get by without toggling CPU ...

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.