Actividades asistenciales
Trustworthy Clinical Decision Support Using Meta-Predicates and Domain-Specific Languages
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\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...
Predictive Modeling of Natural Medicinal Compounds for Alzheimer Disease Using Cheminformatics
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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
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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
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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
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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
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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
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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...
Weight Group-wise Post-Training Quantization for Medical Foundation Model
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Foundation models have achieved remarkable results in medical image analysis. However, its large network architecture and high computational complexity significantly impact inference speed, limiting...
NativeTernary: A Self-Delimiting Binary Encoding with Unary Run-Length Hierarchy Markers for Ternary Neural Network Weights, Structured Data, and General Computing Infrastructure
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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
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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
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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...
Actividades asistenciales
Agroalimentación
Automoción y nueva movilidad
Energía sostenible y eficiente
Materiales avanzados
Medio ambiente y sostenibilidad
Patrimonio natural y cultural
Procesos productivos e industria 4.0
Química y biotecnología
Salud y calidad de vida
Transformación digital



