BackgroundThe application of game elements to engage participants and improve data collection for clinical trials is relatively novel, with limited research around the impact of gamification in clinical research. This article explores published literature and surveys from patients and clinical sites.MethodsA targeted literature review was completed in November 2025 to identify published articles (≤10 years) […]
EULAR 26 hears of treatment advances in lupus
Three trials of potentially first-in-class therapies for J&J, UCB/Biogen, and Merck KGaA at EULAR have offered hope of new targeted drugs for lupus.
How courts are coping with a flood of AI-generated lawsuits
Most days in her chambers, Judge Maritza Braswell, a federal magistrate judge in Colorado, sifts through stacks of documents written by people without a lawyer. Many of them can’t afford to hire a lawyer, and others have cases too weak or too small to interest one. She reads each one carefully, mindful of how daunting […]
£600m funding call opens for UK biomedical research centres
£600m in funding is being allocated for an expansion in the network of biomedical research centres, a pillar of the UK’s life sciences strategy.
AbbVie’s ovarian cancer drug Elahere gets NHS green light
AbbVie’s Elahere has become the first new NHS therapy in more than 20 years for resistant ovarian cancer, providing an alternative to chemotherapy.
NewLimit raises $435m for liver trials, and other financings
Longevity biotech NewLimit’s $435m Series C heads this week’s round-up of biotech venture capital financings.
The Irish COPD paradox and the promise of virtual care
IntroductionIreland has the highest COPD hospitalisation rate in the OECD (315 per 100,000 vs. an average of 190), yet possesses the infrastructure and reform ambition—through Sláintecare—to deliver care differently. Virtual Care Pathways underpinned by Remote Patient Monitoring offer one route out of this costly, hospital-centric cycle, but the question is not simply whether they work. […]
Blinded two-phase evaluation of large language models in complex cardiac surgery: task-specific performance and human-AI collaboration
BackgroundLarge language models (LLMs) have demonstrated strong performance on standardized medical benchmarks. However, their potential in complex surgical decision-making is largely uncharacterized. Critically, human–LLM collaboration regarding the extent to which clinicians can effectively recognize and integrate model-generated reasoning has emerged as an unaddressed question. To address these gaps, we developed a two-phase evaluation framework to […]
Automated emotion recognition via video-based semantic embeddings
IntroductionAutomated emotion recognition systems often rely on acted datasets and categorical models that miss the nuance of spontaneous affect.MethodsThis work assembled a large corpus of authentic facial emotion expressions from naturalistic outpatient psychotherapy sessions, annotated with free-text descriptions by human labelers. These descriptions were embedded in a 768-dimensional semantic space using a fine-tuned German Sentence-BERT […]
Text-guided few-shot liver and tumor segmentation
IntroductionHigh-precision liver and tumor segmentation is a cornerstone of digital oncology, yet its clinical deployment remains constrained by two persistent challenges: the scarcity of pixel-level annotations and severe performance degradation under cross-center domain shift. Although few shot learning offers a promising direction for data-efficient modeling, existing approaches relying solely on visual similarity often fail to […]
Beyond accuracy: evaluating the operational feasibility and diagnostic yield of CAD4TB vs. Timika score for scalable TB screening in low-resource settings
Artificial intelligence has shown promise in enhancing tuberculosis care, but its use in resource-limited settings like Indonesia remains underexplored. This cross-sectional retrospective single-centre study evaluates the diagnostic performance of CAD4TB in screening Indonesian patients suspected of tuberculosis using chest x-ray (CXR) images, comparing its efficacy to the Timika score assessed by experts. We analyzed CXR […]
Listening to MS: AI-assisted speech analysis for diagnosis and fatigue prediction (COMMITMENT)
BackgroundIdentification of fatigue in people with Multiple Sclerosis (pwMS) is still mainly based on subjective assessments due to the lack of objective diagnostic tools. We aimed to identify vocal biomarkers to differentiate between pwMS with and without fatigue.MethodsThis COMMITMENT trial was a prospective, observational study recruiting healthy controls (HCs, n = 20) and relapsing MS (RMS) patients […]