In this rapidly growing digital era, the evolution of Artificial Intelligence (AI) and Machine Learning (ML) from academic ...

Pharmaceutical industry experts at Gitex Asia 2025 discuss how AI is revolutionising drug discovery, from accelerating ...

The following is a summary of “Primary care prediction of hip and knee replacement 1-5 years in advance using temporal graph-based convolutional neural networks (TG-CNNs),” published in the April 2025 ...

GraphBAN is an inductive graph-based approach. The model is all about discovering new drug candidates in the pre-clinical stage. This means speeding up the drug discovery process and making it ...

Graph neural nets have grown in importance as a component of programs that use gen AI. For example, Google's DeepMind unit used graph nets extensively to make stunning breakthroughs in protein-folding ...

Researchers from MIT and the MIT-IBM Watson AI Lab created a promising approach that augments an LLM with other machine-learning models known as graph-based models ... within the Computer Science and ...

Massy), and medical director in charge of artificial intelligence at Philips. While the artificial neural network is still in the evaluation phase, it showed itself in this study to be capable of ...