Ministry of Testing

A practical introduction to testing LLMs

Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
BioSpace

Engitix Announces Strategic Collaboration with GSK to Advance First-in-Class Targets for Liver Fibrosis Regression

Collaboration leverages Engitix’s human ECM Platform to identify high-confidence targets for liver fibrosis regression LONDON, June 08, 2026 (GLOBE NEWSWIRE) -- Engitix Ltd. (“Engitix”), a ...
IEEE

HRS-Net: A Hybrid Multi-Scale Network Model Based on Convolution and Transformers for Multi-Class Retinal Disease Classification

Abstract: Optical coherence tomography (OCT) is an important basis for retinal diagnosis. Traditional OCT image analysis methods not only require a lot of manual ...
IEEE

MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation

Abstract: This paper proposes a novel transformer-based framework to generate accurate class-specific object localization maps for weakly supervised semantic segmentation (WSSS). Leveraging the ...