Since its inception, artificial intelligence (AI) has been developed to mimic the adaptation and self-organization of living organisms or biological ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

By Dr. Liji Thomas, MD By merging voice instability, gait asymmetry, and tremor-driven handwriting changes into a single explainable AI framework, researchers show how digital biomarkers can move ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

Cervical cancer is a major public health concern that poses a significant threat to women's health. Standard concurrent chemoradiotherapy (CCRT) achieves disease-free survival (DFS) in approximately ...

The integration of mpMRI data and using methods like deep survival networks 58 has shown promise in accurately predicting the risk of clinical or biochemical recurrence (BCR). 55 Similarly, Esteva et ...

Across the world, conversations around Multimodal AI are gaining momentum. Researchers, technology leaders, and industry ...

The new MMAI risk grouping system can potentially reduce overtreatment and undertreatment of localized prostate cancer. Deep learning multimodal artificial intelligence (MMAI) models outperformed ...

Please provide your email address to receive an email when new articles are posted on . The model combines demographic, chest X-ray, electrocardiogram and transthoracic echocardiography data. The ...