New framework renders AI more trustworthy for cancer subtyping

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
Frontiers

Early detection of brain pathologies through deep learning and advanced neuroimaging approaches

Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...
Nature

Deep learning reveals antimicrobial peptides within prions

Prion and prion-like proteins are classically associated with protein misfolding, but amyloidogenic sequences can also participate in host defence. Here, using deep learning, we screened 19.3 million ...
Memeburn

Claude vs Gemini (2026): Which AI Chatbot is Better For You?

Compare the core architecture, model variations, real-world performance, and pricing of Claude and Gemini. Find out which AI ...

IIT Roorkee opens admissions for the 11th batch of its post graduate certificate in data science, machine learning & generative AI

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine ...
IEEE

A Hybrid Deep Learning Framework for Early-Stage Alzheimer’s Disease Classification From Neuro-Imaging Biomarkers

Abstract: Alzheimer’s disease, a leading neurodegenerative disorder, poses significant challenges to modern healthcare, emphasizing the urgent need for precise early-stage diagnostics. Despite ...
IEEE

Efficient Approach for Brain Tumor Detection and Classification Using Fuzzy Thresholding and Deep Learning Algorithms

Abstract: Accurate and efficient brain tumor diagnosis remains a critical challenge in medical imaging. This study proposes a novel framework that integrates fuzzy logic-based segmentation with deep ...