Devdiscourse

AI unlocks hidden signals in drug reviews to flag safety concerns faster

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
GitHub

TFM Dataset & Benchmark: Automated Tear Film Break-Up Analysis

Classification (TF-Cls) 'Clear', 'Closed', 'Broken', 'Blur' 6,247 3632 × 2760 4,687:561:999(75%:9%:16%) Object Detection (TF-Det) Inside, Middle, Outside Rings 4,736 ...
Frontiers

DenseLes: slice-wise dense network for multiple sclerosis lesion segmentation and classification

Accurate and reliable segmentation of multiple sclerosis (MS) lesions from magnetic resonance imaging (MRI) is essential for diagnosis and monitoring disease progression. Therefore, a robust and ...
BioSpace

Valinor and Renew Launch Partnership to Generate Largest Clinical Multi-Omics Dataset for Neurological Disease Model Development

The partnership integrates high-resolution multi-omics data generation with predictive multimodal machine learning to support biopharma decision-making in neurology. SALT LAKE CITY, Feb. 24, 2026 ...
IEEE

A New Dataset and Neural Benchmark for Multi-Label Classification of Modern Slavery Litigation

Abstract: Modern slavery remains a critical global challenge, affecting millions of individuals through forced labor and human trafficking. As global supply chains become increasingly complex, ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
IEEE

Label-Aware Hierarchical Ranking Model for Multi-Label Text Classification

Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...
GitHub

WHU-STree: A Multi-modal Benchmark Dataset for Street Tree Inventory

The study presents WHU-STree, a pioneering multi-modal dataset designed to address critical gaps in urban street tree inventory research. By integrating synchronized point clouds and high-resolution ...