Actividades asistenciales

Vol-Mark: A Watermark for 3D Medical Volume Data Via Cubic Difference Expansion and Contrastive Learning

- Today, advances in medical technology extensively utilize 3D volume data for accurate and efficient diagnostics. However, sharing these data across networks in telemedicine poses significant security...

Compositional Neural-Cyber-Physical System Verification in the Interactive Theorem Prover of Your Choice

- Formal verification of neuro-symbolic cyber-physical systems, such as drones, medical devices and robots, is complicated. Neural components must be trained to be optimal with respect to the available...

A multi-stage soft computing framework for complex disease modelling and decision support: A liver cirrhosis case study

- Liver cirrhosis is a major global health problem causing millions of deaths annually, and timely detection with aggressive treatment can significantly improve patients' quality of life. Modelling...

Data-Driven Analysis of AI in Medical Device Software in China: Trends of Deep Learning and Traditional AI Based on Regulatory Data

- Artificial intelligence (AI) in medical device software (MDSW) represents a transformative clinical technology, attracting increasing attention within both the medical community and the regulators....

Vibe coding for clinicians: democratising bespoke software development for digital health innovation

- Clinicians often face workflow problems that are perceived as either too bespoke or low stakes to attract commercial attention. Historically, most do not have the technical knowledge to address these...

Trustworthy Clinical Decision Support Using Meta-Predicates and Domain-Specific Languages

- \textbf{Background:} Regulatory frameworks for AI in healthcare, including the EU AI Act and FDA guidance on AI/ML-based medical devices, require clinical decision support to demonstrate not only...

Association of marital and parental status with stress, support, adherence, and quality of life among breast cancer women

Predictive Modeling of Natural Medicinal Compounds for Alzheimer Disease Using Cheminformatics

- The most common cause of dementia is Alzheimer disease, a progressive neurodegenerative disorder affecting older adults that gradually impairs memory, cognition, and behavior. It is characterized by...

MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events

- Machine learning in high-stakes domains such as healthcare requires not only strong predictive performance but also reliable uncertainty quantification (UQ) to support human oversight. Multi-label...

Inclusive Kitchen Design for Older Adults: Generative AI Visualizations to Support Mild Cognitive Impairment

- Mild Cognitive Impairment (MCI) affects 15-20% of adults aged 65 and older, often making kitchen navigation and independent living difficult, particularly in lower-income communities with limited...

Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions

- Using behavioural science, health interventions focus on behaviour change by providing a framework to help patients acquire and maintain healthy habits that improve medical outcomes. In-person...

Fairboard: a quantitative framework for equity assessment of healthcare models

- Despite there now being more than 1,000 FDA-authorised AI medical devices, formal equity assessments -- whether model performance is uniform across patient subgroups -- are rare. Here, we evaluate...

DERM-3R: A Resource-Efficient Multimodal Agents Framework for Dermatologic Diagnosis and Treatment in Real-World Clinical Settings

- Dermatologic diseases impose a large and growing global burden, affecting billions and substantially reducing quality of life. While modern therapies can rapidly control acute symptoms, long-term...

Corrigendum: Parvova I, Delyiski T, Peteva P, Petkova V, Irfan I, Yordanov E, Hristov E (2024) Health-related quality of life after Rituximab treatment of patients with antineutrophil cytoplasmic antibody-associated vasculitis. Pharmacia 71: 1-11. https://doi.org/10.3897/pharmacia.71.e140507

Weight Group-wise Post-Training Quantization for Medical Foundation Model

- Foundation models have achieved remarkable results in medical image analysis. However, its large network architecture and high computational complexity significantly impact inference speed, limiting...

Why the US needs a unified, mission-based strategy for health innovation

06/04/2026

NativeTernary: A Self-Delimiting Binary Encoding with Unary Run-Length Hierarchy Markers for Ternary Neural Network Weights, Structured Data, and General Computing Infrastructure

- BitNet b1.58 (Ma et al., 2024) demonstrates that large language models can operate entirely on ternary weights {-1, 0, +1}, yet no native binary wire format exists for such models. NativeTernary...

A Differentiable Framework for Gradient Enhanced Damage with Physics-Augmented Neural Networks in JAX-FEM

- Soft materials such as rubbers, hydrogels, and biological tissues undergo damage in the form of stiffness degradation without apparent changes in their stress-free geometry. Accurate simulation of...

Learning, Potential, and Retention: An Approach for Evaluating Adaptive AI-Enabled Medical Devices

- This work addresses challenges in evaluating adaptive artificial intelligence (AI) models for medical devices, where iterative updates to both models and evaluation datasets complicate performance...

Junta de Castilla y León impulsa el Plan Territorial de Fomento de Tierra de Campos

29/01/2025 - La Junta de Castilla y León lanza el PTF-TC 2024-2031 con 63,2M€ para impulsar la industria, el emprendimiento y la calidad de vida. El plan beneficiará a 206 municipios de...