Novartis’ $12bn takeover of Avidity could potentially give it the first therapy for genetic disorder facioscapulohumeral muscular dystrophy.
Google DeepMind is worried about what happens when millions of agents start to interact
Google DeepMind is funding research into the potential dangers of millions of different AI agents interacting with each other online. According to Rohin Shah, who directs the company’s AGI safety and alignment research, the mass-market arrival of agents that can carry out tasks without human oversight and follow instructions given to them by other agents creates […]
Basketball great Shaq fronts Lilly sleep apnoea campaign
Eli Lilly has recruited basketball legend Shaquille O’Neal to promote a sleep apnoea awareness campaign and make the case for treatment with Zepbound.
Uptake of Clinical Decision Support Systems Among Health Care Professionals in Six European Countries and the United States: Cross-Sectional Survey Within the I-CARE4OLD Project
Background: The use of Clinical Decision Support Systems (CDSS), such as clinical decision rules, algorithms, or machine learning-based applications, has gained attention in recent years. However, their adoption and effectiveness may vary across different health care systems and settings. For a CDSS to be adopted, it must effectively address the practical issues encountered by professionals; […]
Anthropic puts life sciences at heart of new AI model
Anthropic has released Claude Fable 5, trumpeting its R&D credentials, but has faced a backlash over “safeguards” built into the model.
Madrigal takes giant inflatable liver on US tour in disease awareness push
Madrigal Pharmaceuticals has installed a 20-foot-tall, 41-foot-wide inflatable liver in a Philadelphia park to mark Global Fatty Liver Awareness Day.
SonoThera’s $125m Series B heads recent biofinancings
Our latest roundup of financings in the biotech sector includes impressive rounds for SonoThera, Ethyreal, CeQur, and City Therapeutics.
Olixir NY teams with Crohn’s & Colitis Foundation for ‘Spill Your Guts’ campaign
The Crohn’s & Colitis Foundation has tapped agency Olixir NY for its new inflammatory bowel disease public service announcement.
APEX: Automated Prompt Engineering eXpert with Dynamic Data Selection
arXiv:2606.11459v1 Announce Type: cross Abstract: Large Language Models are highly sensitive to prompt formulation, necessitating automatic prompt optimization to unlock their full potential. While evolutionary algorithms have emerged as the dominant paradigm, they suffer from a critical bottleneck: data efficiency. Current methods treat the development dataset as a static benchmark, wasting significant compute budget on […]
On the Study of Biometric Spoofing Detection using Deep Learning
arXiv:2606.11505v1 Announce Type: cross Abstract: Biometric systems are increasingly deployed in security applications; however, they remain vulnerable to spoofing attacks, in which attackers exploit counterfeit biometric data to gain unauthorized access. This research evaluates the effectiveness of state-of-the-art machine learning models, MobileNetV2, DenseNet-121, Inception-v3, and Spoof Trace Disentanglement (STD) in detecting spoofing attacks within facial […]
Bridging the Morphology Gap: Adapting VLA Models to Dexterous Manipulation via Intent-Conditioned Fine-Tuning
arXiv:2606.12109v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models have demonstrated remarkable zero-shot generalization in robotic manipulation, yet the vast majority of pre-trained pipelines remain strictly confined to low-DoF parallel grippers. Adapting these rich semantic priors to high-DoF dexterous hands introduces a severe morphology gap, direct end-to-end joint fine-tuning inherently causes catastrophic forgetting of spatial reasoning […]
Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification
arXiv:2606.12252v1 Announce Type: cross Abstract: Training deep neural networks for clinical time-series analysis is computationally demanding, yet many healthcare settings lack the resources required for repeated model development and deployment. This challenge is particularly evident in electrocardiogram classification, where large datasets and long training schedules make efficiency practically important. Progressive Data Dropout reduces training cost […]