Researchers have successfully performed the world's first Milky Way simulation that accurately represents more than 100 ...

Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 ...

Local AI models offer privacy and zero subscription costs, letting you run powerful models completely offline. Here's how to start.

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

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 ...

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

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

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

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

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 ...

Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

Objective: To evaluate the value of the clinical model for predicting axillary lymph node metastasis (ALNM) of breast cancer before operation by integrating ultrasound (US) and ...