Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

LONDON, UK / ACCESS Newswire / December 10, 2025 / Cracken, THE leader in AI-enabled Adversarial Exposure Validation, a ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

C compiler, LustreC, into a generator of both executable code and associated specification. Model-based design tools are ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Syntec Technology (TWSE: 7750), a leading provider of smart manufacturing solutions, has launched the Phase II development of its Syntec Intelligence Technology Sdn. Bhd. facility in Malaysia, ...

A research paper by scientists at the Beijing Institute of Technology proposed a brain–machine hybrid intelligent system for ...

As the diagnostic landscape evolves, several patterns are emerging across both clinical research and market innovation.

A new report out today from artificial intelligence security startup Cyata Security Ltd. details a critical remote code ...

Over-engineered automation systems create hidden costs and delays. Right-sizing, openness and resilience offer a smarter path ...