How robots learn: A brief, contemporary history

Roboticists used to dream big but build small. They’d hope to match or exceed the extraordinary complexity of the human body, and then they’d spend their career refining robotic arms for auto plants. Aim for C-3P0; end up with the Roomba.  The real ambition for many of these researchers was the robot of science fiction—one […]

EU to launch fast-track pilot for breakthrough medical devices and in vitro diagnostics

The EU will launch a pilot programme in 2026 to accelerate access to breakthrough medical devices and in vitro diagnostics, offering enhanced regulatory support and faster scientific review Led by the European Medicines Agency, the initiative will provide enhanced regulatory support and priority scientific advice for innovative technologies, while maintaining strict safety and performance standards. […]

Bioethical considerations in deploying mobile mental health apps in LMIC settings: insights from the MITHRA pilot study in rural India

IntroductionIn India, untreated depression among women contributes significantly to morbidity and mortality, underscoring an urgent need for accessible and ethically grounded mental health interventions. Mobile health (mHealth) tools offer scalable solutions; however, their implementation in low- and middle-income country (LMIC) settings raises important bioethical considerations.MethodsThis study was conducted at the conclusion of a pilot randomized […]

Real-world outcomes from 2,905 episodes of hospital at home care: a propensity-matched cohort study

BackgroundHospital at home (HAH) services within the UK have expanded rapidly over the last 5 years, but there is comparatively little evidence demonstrating their clinical effectiveness. In this study, we evaluated the clinical outcomes, safety, and cost-effectiveness of a comprehensive HAH service in England.MethodsWe conducted a retrospective cohort study of patients admitted to our HAH […]

User experience design methodologies for developing a tele-round platform in public intensive care units in northern and northeastern Brazil

IntroductionDesigning digital health solutions for critical environments like intensive care units (ICUs) is challenging, especially in resource-constrained settings. The integration of user experience (UX) design methods into digital health development may improve alignment with clinical workflows, reduce barriers to adoption, and enhance perceived usefulness.ObjectiveTo apply user experience design methodologies to develop the interface of a […]

Creating customized chatbots with ChatGPT to promote physical activity: a mini review

Artificial intelligence (AI) chatbots powered by large language models (LLMs) such as ChatGPT offer a promising approach for delivering scalable, personalized physical activity interventions. Despite growing interest in applying these tools to health behaviour change, concerns remain regarding accuracy, safety, hallucinations, privacy, and theoretical grounding. This mini-review summarizes current methods for creating customized ChatGPT-based chatbots […]

A randomized, unblinded, controlled clinical study to assess the mobile digital health application INKA in the management of therapy refractory overactive bladder and mixed incontinence

BackgroundThis exploratory, two-arm, randomized, unblinded, controlled, multicentre study assessed the health benefits of the INKA app, a MDR class I CE-marked digital therapy companion for patients with overactive bladder (OAB) and mixed incontinence (MI). INKA offers self-guided educational, behavioural, and motivational content, along with physiotherapy modules and supports daily self-management, in accordance with current clinical […]

Mechanistic Decoding of Cognitive Constructs in LLMs

arXiv:2604.14593v1 Announce Type: cross Abstract: While Large Language Models (LLMs) demonstrate increasingly sophisticated affective capabilities, the internal mechanisms by which they process complex emotions remain unclear. Existing interpretability approaches often treat models as black boxes or focus on coarse-grained basic emotions, leaving the cognitive structure of more complex affective states underexplored. To bridge this gap, […]

ClimateCause: Complex and Implicit Causal Structures in Climate Reports

arXiv:2604.14856v1 Announce Type: cross Abstract: Understanding climate change requires reasoning over complex causal networks. Yet, existing causal discovery datasets predominantly capture explicit, direct causal relations. We introduce ClimateCause, a manually expert-annotated dataset of higher-order causal structures from science-for-policy climate reports, including implicit and nested causality. Cause-effect expressions are normalized and disentangled into individual causal relations […]

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