The great majority of the public believe that larger banks are in a much better financial position since the Great Financial ...

AI enhances breast cancer care by improving mammography accuracy, reducing false negatives, and aiding in clinical trial enrollment and design. AI-driven digital patient profiling reduces placebo use ...

New research confirms that an artificial intelligence (AI) model trained on millions of electrocardiograms (ECGs) serves as a ...

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

A tool combining CV risk score (CVRS) and coronary artery calcium score (CACS) facilitates stratification of patients with COPD at risk for MACE.

Researchers used a new covariance-based method, MANOCCA, to map how environmental factors like age, sex, smoking, and BMI shape bacterial co-abundance in the healthy gut microbiome. The study revealed ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

The great majority of the public believe that larger banks are in a much better financial position since the Great Financial Crisis of 2008.  And, the confidence in these banks seems quite ubiquitous.

The Food Inflammation Index (FII) shows a significant linear relationship with MASLD risk, outperforming the Dietary ...

Researchers sought to develop and validate artificial neural networks for overall survival and progression-free survival in older adults with HNSCC following definitive chemoradiation.

Obesity indices, particularly body fat percentage and relative fat mass, were associated with OA and may aid in early detection.