Actividades asistenciales
Knee osteoarthritis isn’t inevitable — here’s what you can do
20/08/2026 -
Knee osteoarthritis can seriously affect mobility and quality of life, but its progression isn’t completely out of your control. Exercise, stronger leg muscles, a healthier diet, and even modest...
An IMU Dataset for Human Activity Recognition to Support Independent Living in Smart Homes (IMU-HAR-IL)
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This document introduces HAR-IMU-IL, a dataset developed for human activity recognition (HAR) using inertial measurement unit (IMU) sensors within a smart home environment with a focus to support...
A foundation-model approach to pediatric headache classification from rs-fMRI
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Headache is the most common neurological disorder in children and substantially affects quality of life. We investigated whether resting-state functional MRI (rs-fMRI) can support pediatric headache...
Flaky Test Recognition when Testing CPSs Using Hybrid Models
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Cyber-Physical Systems (CPSs) have many applications, ranging from simple thermostat systems to autonomous driving systems and medical devices. Like all systems, they need to function correctly. To...
Long-Term Mortality Following STN-DBS in Parkinson's Disease: A Survival Analysis
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Background: Deep brain stimulation of the subthalamic nucleus (STN-DBS) is an established PD treatment that improves motor symptoms and quality of life, but long-term survival and mortality risk...
Statistical Considerations in Long COVID Research
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Long COVID is a condition characterized by ongoing or relapsing symptoms attributable to SARS-CoV-2 infection that are present three or more months after infection. It represents a major clinical and...
Homebot: A Personal AI Agent for Conversational Home Assistance and Automation
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\texttt{Homebot} is a locally deployable AI agent for conversational household assistance and automation. It accepts voice and instant-messaging requests through a shared runtime that combines...
EntailLLM: Verifying LLM-Generated Vulnerability Discovery Paths with Domain Knowledge via Logic Programming
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Large language models are increasingly used to reason about software vulnerabilities, but their outputs can silently violate domain knowledge, limiting their reliability in safety-critical settings...
Supporting Cybersecurity Risk Management for Medical Devices via the SECUMAN Ontology and Shapes
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We propose the SECUMAN ontology and shapes for representing and analysing cybersecurity risk-management documentation for medical devices. Cybersecurity risks are increasingly relevant for connected...
Machines that know they are aging: a framework for hardware-aware autonomous intelligence
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Autonomous systems inevitably age, yet their artificial intelligence typically assumes hardware remains in its original condition. Batteries degrade, sensors drift, processors accumulate timing...
Clinical Pathways as Safety Specifications for Physical AI in Hospital Wards
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Ensuring safety in Physical AI systems operating in real-world environments is a critical challenge, particularly in hospital wards where vulnerable patients, clinical staff, medical devices, and...
Rethinking Feature Reliance Evaluation with Semantically Matched Suppression
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Understanding whether visual recognition models rely on shape, texture, or color is central to interpreting their behavior. Prior cue-conflict studies have strongly influenced the view that CNNs are...
Lazy Arithmetic using Systolic Arrays for Closing the Verification Gap on Embedded Systems
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Complex algorithms such as deep neural networks are increasingly being deployed on embedded, resource constrained platforms. However, existing hardware and software schemes for implementing these...
Common antidepressant may ease long COVID’s crushing fatigue
18/07/2026 -
A low-cost antidepressant may offer new hope for people struggling with long COVID fatigue. In a randomized clinical trial involving 399 adults, fluvoxamine significantly reduced fatigue and improved...
OvAi Focus: AI-based Multi-class Segmentation of Functional Ovaries and Adnexal Masses in Gynecological Ultrasound
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Ovarian cancer is the deadliest gynecological malignancy; accurate and objective segmentation of adnexal masses and functional ovaries in ultrasound (US) remains challenging due to operator...
Event-based Neural Decoding for Neuroprosthetic Motor Control
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A substantial number of patients experience diminished mobility due to disabilities, diseases, or accidents. Although modern prostheses, powered by deep neural networks, hold the promise of...
The In-Car Sign Language Corpus (ICSL): A Multi-Modal Resource for Constrained-Space Sign Language Recognition
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This paper addresses the challenges of using sign language within shared mobility services, such as taxis, carpools, or ride-sharing platforms. The use of sign language recognition (SLR) in...
Wearing A Coat: Dual-Arm Robot-Assisted Dressing with Differentiable Clothing Simulation
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The development of assistive robots for dressing tasks serves to augment human convenience and improve the quality of life for individuals with physical impairments. However, due to the intricate...
Toward Joint Prediction of a Longitudinal Marker and a Terminal Event: A bivariate discrete-time framework
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Sudden cardiac death (SCD) is a leading cause of death in the U.S. Patients at elevated risk of SCD are primarily treated with an implantable cardioverter-defibrillator (ICD), which can prevent...
Designing Computerized Gait Analysis for Pediatric Care: Clinician Perspectives on Sensing, Workflow, and Care Environments
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Computerized gait analysis (CGA) serves as an essential diagnostic tool for evaluating neuromuscular, musculoskeletal, and neurological disorders in children, from cerebral palsy to muscular...
Co-STAR: Cognitive Stimulation Therapy by an Autonomous Robot for Dementia -- A One-Week In-Home Study
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Cognitive therapies have been shown to enhance the quality of life and well-being of people living with dementia (PwDs). However, their use remains limited due to a shortage of trained professionals...
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



