NHS England intends to provide the weight-loss drug semaglutide to over 1.2 million people with cardiovascular disease who are overweight, following guidance that demonstrates its effectiveness in reducing the risk of heart attacks and strokes People with heart and circulatory disease who are overweight will be able to receive Semaglutide from summer 2026, following approval […]
Alzheimer’s biotech Korsana to go public via reverse merger
By merging with Cyclerion, Korsana will get a Nasdaq listing and additional cash to develop its new-generation amyloid-targeting drug for Alzheimer’s.
Value, development challenges, and strategies for gaining internal endorsement of digitally connected subcutaneous drug delivery devices: a survey of pharmaceutical stakeholders
IntroductionConnected drug delivery devices such as combination products that integrate traditional drug delivery systems with digital connectivity features represent an opportunity to improve treatment outcomes and disease management. This online survey study was conducted to explore the evolving landscape of digitally connected subcutaneous (SC) drug delivery devices, including the perspectives of pharmaceutical stakeholders regarding the […]
Ethical oversight of AI-driven paediatric trials: a proactive, risk-sensitive interim review model
BackgroundArtificial intelligence (AI)-driven paediatric trials pose novel challenges for institutional review boards (IRBs), as traditional annual continuing review frameworks are often inadequate for evolving algorithmic and data-related risks. International and national regulations provide only limited guidance on how to design proactive, risk-sensitive interim oversight mechanisms for such research.ObjectiveTo develop and illustrate a risk-sensitive interim review […]
Glenmark goes direct with new US Ryaltris marketing plan as it drops partner model
Six years after signing a U.S. marketing partnership with Hikma Pharma for its seasonal allergy spray Ryaltris, India’s Glenmark is now going it alone.
Correction: Depression detection using deep learning and large language models from multimodalities
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Bayer rejigs marketing claims after recommendation from US advertising body
Bayer has been asked to rein in claims that its One A Day Men’s Pre-Conception Health Complete Multivitamin can help boost male fertility after a rival company challenged the German pharma’s marketing push.
Emotion Entanglement and Bayesian Inference for Multi-Dimensional Emotion Understanding
arXiv:2604.00819v1 Announce Type: cross Abstract: Understanding emotions in natural language is inherently a multi-dimensional reasoning problem, where multiple affective signals interact through context, interpersonal relations, and situational cues. However, most existing emotion understanding benchmarks rely on short texts and predefined emotion labels, reducing this process to independent label prediction and ignoring the structured dependencies among […]
NFC based inventory control system for secure and efficient communication
arXiv:2604.00181v1 Announce Type: cross Abstract: This paper brings up this idea of using Near Field Communication (NFC) for inventory control system instead of using traditional barcodes. NFC because of its high security, ease of use and efficiency can be very suitable for systems like inventory control. In traditional inventory control systems, each product has a […]
When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Attribution
arXiv:2603.17445v4 Announce Type: replace Abstract: When a multi-agent system produces an incorrect or harmful answer, who is accountable if execution logs and agent identifiers are unavailable? In practice, generated content is often detached from its execution environment due to privacy or system boundaries, leaving the final text as the only auditable artifact. Existing attribution methods […]
Optimsyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation
arXiv:2604.00536v1 Announce Type: cross Abstract: Large language models (LLMs) achieve strong downstream performance largely due to abundant supervised fine-tuning (SFT) data. However, high-quality SFT data in knowledge-intensive domains such as humanities, social sciences, medicine, law, and finance is scarce because expert curation is expensive, privacy constraints are strict, and label consistency is hard to ensure. […]
Temporal Dependencies in In-Context Learning: The Role of Induction Heads
arXiv:2604.01094v1 Announce Type: cross Abstract: Large language models (LLMs) exhibit strong in-context learning capabilities, but how they track and retrieve information from context remains underexplored. Drawing on the free recall paradigm in cognitive science (where participants recall list items in any order), we show that several open-source LLMs consistently display a serial-recall-like pattern, assigning peak […]