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

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

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

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

Info-Tech Research Group has released its 2025 Machine Learning Emotional Footprint Report, which identifies the ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

Testing demonstrates 48% file size reduction with robust ML model accuracy across multiple industry-standard metrics. AV teams are invited to ...