(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, ...

The intersection of artificial intelligence and healthcare continues to unlock unprecedented opportunities for improving patient outcomes and operational efficiency. As healthcare organizations ...

In the ever-evolving landscape of Artificial Intelligence (AI), a new project, Dolphingemma, is making significant strides in ...

Opinions expressed by Digital Journal contributors are their own. “In a world driven by data, my mission is to create innovative AI solutions that not only solve complex problems but also push the ...

MIT's AI-infused mechanical engineering class, led by Professor Faez Ahmed, gains popularity for its innovative design ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Education 4.0, driven largely by digital pedagogy and the integration of online platforms, was sufficient for the early 21st ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice for preempting trends.

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will help ...