Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

Researchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are likely to respond well to radiotherapy-a common ...

In a breakthrough for cardiovascular medicine, researchers have harnessed artificial intelligence to discover unexpected ...

Researchers integrated machine learning with multi-tiered validation to identify FDA-approved non-lipid-lowering drugs with lipid-modifying potential. From 3,430 drugs screened, 29 candidates emerged.

Aramide’s paper titled, ‘Quantum-Safe Networking for Critical AI/ML Infrastructure’, investigates the implications of quantum ...

A research team from Southern Medical University has developed a machine learning-based gene model that predicts whether ...

Researchers from Southern Medical University and collaborators report the identification of FDA‑approved compounds that may ...

Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic ...

Machine learning models showed strong predictive performance for 5-year survival in stage III colorectal cancer patients, with AUC values between 0.766 and 0.791. Key prognostic factors identified ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Kraftshala analyzed AI-related search data from Google and job sites like LinkedIn and Indeed to find the most popular AI ...

Researchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are ...