Sobi’s $1.5 billion takeover of Arthrosi at the end of 2025 has started to pay off, with a positive phase 3 trial for gout therapy pozdeutinurad.
Datroway is first TROP2 drug for frontline breast cancer
AZ and Daiichi’s Datroway has been cleared by the FDA as first-line treatment for triple-negative breast cancer patients ineligible for immunotherapy.
It’s time to address the looming crisis in entry-level work.
Artificial intelligence has not so far produced a clean story of mass unemployment. Aggregate employment in developed countries remains broadly stable, and recent assessments have found limited evidence that AI has shifted the headline numbers. But a troubling change may be hiding beneath the surface: the quiet weakening of the first rung of the career […]
A reality check on the AI jobs hysteria
Haven’t you heard? White-collar jobs are going away, decimated by AI. Waves of layoffs in the tech sector (most recently at Coinbase and Meta and Cisco) are said to presage what will soon come for all of us knowledge workers. But before you quit your job as a software developer or financial analyst—or tech journalist—and […]
Newel Health, Gerresheimer team up to help pharma embrace digital
Newel Health and Gerresheimer ally to help pharma firms embed digital endpoints, real-world data, and AI into clinical testing and commercialisation.
A World Model of Radiologist Reading for Medical Image Representation Learning
arXiv:2605.23992v1 Announce Type: cross Abstract: Radiologist eye-tracking data provide a rich record of how experts search, compare, and accumulate evidence during image reading; yet, existing methods exploit this signal only partially, either as a static spatial prior or as an auxiliary prediction target decoupled from diagnosis. We propose GazeWorld, a medical imaging world model that […]
A Multi-Agent LLM Framework for Rating the Quality of Surgical Feedback
arXiv:2605.25440v1 Announce Type: cross Abstract: Verbal feedback delivered by attending surgeons in the operating room plays a critical formative role in resident trainee skill acquisition. Yet, assessing the quality of trainer feedback and its effectiveness in influencing trainee behavior during live surgery remains a challenge. Prior studies assessed feedback content relying on extensive manual annotation […]
Check Your LLM’s Secret Dictionary! Five Lines of Code Reveal What Your LLM Learned (Including What It Shouldn’t Have)
arXiv:2605.22005v1 Announce Type: cross Abstract: We show that singular value decomposition of the lm_head} weight matrix of a transformer-based large language model — requiring only five lines of PyTorch and no model inference — reveals interpretable semantic subspaces directly from the model weights. Each left singular vector identifies the vocabulary tokens most readily selected when […]
Learning Selective Merge Policies for Deadline-Constrained Coded Caching via Deep Reinforcement Learning
arXiv:2605.15236v2 Announce Type: replace-cross Abstract: In the coded caching, the server uses the cached information at the users to serve multiple users in parallel with a single coded multi-casting message or packet, that is, a merged packet, and thus mitigates the peak network congestion. In order to deliver the timely messages to the users in […]
VILAS: A VLA-Integrated Low-cost Architecture with Soft Grasping for Robotic Manipulation
arXiv:2605.02037v2 Announce Type: replace-cross Abstract: We present VILAS, a fully low-cost, modular robotic manipulation platform designed to support end-to-end vision-language-action (VLA) policy learning and deployment on accessible hardware. The system integrates a Fairino FR5 collaborative arm, a Jodell RG52-50 electric gripper, and a dual-camera perception module, unified through a ZMQ-based communication architecture that seamlessly coordinates […]
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation
arXiv:2605.25402v1 Announce Type: cross Abstract: Self-supervised pre-training paradigm has gained increasing prominence for learning transferable representations in medical imaging, yet existing methods for ultrasound (US) images operate at the image or frame level, overlooking the anatomical context for clinical-aligned representation learning. In this work, we propose an anatomy-anchored ultrasound self-supervision framework ANAUS that shifts representation […]
In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
arXiv:2605.23908v1 Announce Type: new Abstract: We are in the midst of large-scale industrial and academic efforts to automate the processes of scientific, technological and creative production through AI-driven assistants. Historically, a fundamental property of these processes in their human form has been their open-endedness: their capacity for generating a seemingly endless supply of novel and […]