New research uses explainable AI to predict CB1 receptor binding affinity and functional potency for cannabinoids and new ...

AI-driven genomic analysis could help researchers identify existing drugs that may be repurposed for subtype-specific breast ...

In past roles, I’ve spent countless hours trying to understand why state-of-the-art models produced subpar outputs. The underlying issue here is that machine learning models don’t “think” like humans ...

This PhD project, a collaboration between Ulster University and Thales IAS, aims to advance research in Explainable AI (XAI), addressing the growing need for trust and transparency in AI systems.

Yeshwanth Macha developed explainable AI models improving insurance fraud detection accuracy, transparency, compliance and operational efficiency for insurers globally.

Machine learning is changing the front end of drug discovery, where researchers decide which targets to pursue and which molecules deserve costly laboratory work. Its deeper test lies further ...