Building on previous data studying organoids derived from patients with neuropsychiatric disorders, this computational model can differentiate between signals ...

Databricks has added FedRAMP Moderate and IRAP compliance support to Mosaic AI Vector Search standard endpoints, enabling ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Innovative agritech solutions, including vertical farming and AI, are reshaping agriculture, enhancing crop yields and ...

The most important is early detection of students at risk, which enables universities to intervene before problems escalate.

Real-time data processing has become essential as organizations demand faster insights. Integration with artificial ...

In this Prime Venture Partners Podcast episode, we sit down with Prateek Jain, Principal Scientist & Director at Google DeepMind, for an unfiltered deep-dive into India’s once-in-a-generation chance ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

The Wireless Research Center at the American University in Cairo has been contributing to advancing QC applications, ...