Artificial intelligence is emerging as a powerful tool for improving the diagnosis, phenotyping, and treatment of inflammatory skin diseases such as alopecia.

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

MIT created "periodic table" for ML, organizing 20 algorithms by mathematical similarities which discovered of a new image-classification algorithm by 8%.

The department is planning to broaden its machine learning-powered Automated Decision Support tool to cover more types of claims.

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

The open-source nature of RISC-V brings the benefits of a modular and royalty-free instruction set architecture (ISA) that eliminates licensing fees, can accelerate development, and fosters ...

Researchers created an AI-driven liquid biopsy that scans patterns in fragments of DNA circulating in the blood. The system detected early liver fibrosis and cirrhosis—conditions that often go ...

The Reserve Bank of India (RBI) has ushered in a new era of artificial intelligence governance through its Framework for ...

By Tarun Sai Lomte Scientists directly compared two leading pTau217 blood tests and found that a brain-derived version may detect Alzheimer’s-related brain pathology more accurately while avoiding ...

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...

Large Language Models (LLMs) are the industry’s closest friends. They are our best friends, even if they are seen as disruptors, making the scene volatile. They are a learner’s paradise. With the risk ...