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---
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title: Unai Elordi receives Fundación ASISA Research Award
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authors: ["Unai Elordi"]
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date: 2026-09-23
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summary: Unai Elordi has been selected as one of the five winners of the **first Fundación ASISA Research Awards** in the health research category.
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image:
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focal_point: 'center'
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tags:
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- award
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- research
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- AI
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- healthcare
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featured: false
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---
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We are pleased to announce that **Unai Elordi**, researcher affiliated with the Computer Vision and Pattern Discovery (CVPD) group, has been selected as one of the five winners of the **first Fundación ASISA Research Awards** in the health research category.
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The award recognizes his project on the **development of a clinical decision support system for the early detection of idiopathic normal pressure hydrocephalus (iNPH) using video analytics and artificial intelligence**.
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### 🎯 Project overview
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The awarded research focuses on creating an **AI-powered clinical decision support tool** that leverages **video analytics and computer vision techniques** to enable **early detection of idiopathic normal pressure hydrocephalus**, a neurological condition that affects gait and mobility in elderly patients.
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This work aligns with the CVPD group's research lines in:
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- **Computer vision and gait analysis**
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- **Machine learning and deep learning for biomedical applications**
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- **Clinical decision support systems**
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- **Video-based human pose estimation and movement analysis**
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### 💰 Award details
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Fundación ASISA has granted this award as part of its **first call for research and social action support**, with a total investment of **60,000 euros** distributed across ten projects (five in health research and five in social initiatives).
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Each selected project receives a grant of **6,000 euros** to support the research work. The foundation has announced that this program will continue with a **new edition in 2027**.
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### 📋 Other awarded research projects
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In the research category, the other four selected projects were:
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- **Macarena Espinilla**: Application of AI for early detection of clinical and cognitive deterioration in university settings
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- **Óscar Rapado**: Development of an epigenetic signature in liquid biopsy for stratifying the risk of occult lymph node metastases in oral cancer
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- **Adrián Mosquera**: Validation of an AI tool to improve secure access to clinical knowledge in oncohematology
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- **Isabel María Barceló**: Research on the resistance mechanism of *Pseudomonas aeruginosa* in otitis media
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### 🔗 More information
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Official announcement from Fundación ASISA:
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- [Fundación ASISA estrena un programa de ayudas a la investigación en salud y a proyectos sociales](https://www.asisa.es/noticias-salud/2026-09-21-primer-edicion-premios-fundacion-asisa)
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News coverage:
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- [Europa Press: Fundación ASISA entrega sus primeras ayudas a investigación y proyectos sociales](https://www.europapress.es/epsocial/responsables/noticia-fundacion-asisa-entrega-primeras-ayudas-investigacion-proyectos-sociales-dotacion-total-60000-euros-20260918190653.html)
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---
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*Congratulations to Unai Elordi and all the awarded researchers!*
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title: "AI-based Clinical Decision Support System for Early Detection of iNPH"
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summary: "Fundación ASISA Research Award 2026 - Development of a clinical decision support system for the early detection of idiopathic normal pressure hydrocephalus (iNPH) using video analytics and artificial intelligence."
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authors:
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["Unai Elordi", "Ignacio Arganda-carreras", "Elsa Fernandez Gómez", "David Campo Caballero"]
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tags:
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- AI
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- Healthcare
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- Computer Vision
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- Clinical Decision Support
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- Gait Analysis
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date: 2026-09-23
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featured: true
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projects:
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- type: Funded project
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name: "Fundación ASISA Research Award"
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year: 2026
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amount: "6,000 EUR"
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duration: "2026-2027"
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url: "https://www.asisa.es/noticias-salud/2026-09-21-primer-edicion-premios-fundacion-asisa"
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---
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## Overview
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This project has been awarded by **Fundación ASISA** as part of their first call for research and social action support. The research focuses on developing an **AI-powered clinical decision support tool** that leverages **video analytics and computer vision techniques** to enable **early detection of idiopathic normal pressure hydrocephalus (iNPH)**.
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### Research Objectives
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- Develop computer vision algorithms for gait and mobility analysis in elderly patients
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- Create machine learning models for early detection of iNPH biomarkers
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- Build a clinical decision support system for neurology departments
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- Validate the system in clinical settings with real patient data
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### Technical Approach
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The project combines expertise in:
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- **Video-based human pose estimation**
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- **Gait analysis and movement pattern recognition**
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- **Deep learning for biomedical applications**
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- **Clinical workflow integration**
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## Funding Details
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| Field | Value |
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|-------|-------|
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| **Funding Agency** | Fundación ASISA |
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| **Award Type** | Research Grant |
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| **Amount** | 6,000 EUR |
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| **Duration** | 2026-2027 |
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| **Principal Investigator** | Unai Elordi |
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| **Researchers** | David Campo Caballero ( Facultad de Medicina y Enfermeria, Osakidetza), Elsa Fernandez Gómez, Ignacio Arganda-Carreras |
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| **Affiliation** | CVPD Research Group |
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## Related Research Lines
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This project aligns with the CVPD group's research in:
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- Computer vision and gait analysis
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- Machine learning and deep learning for healthcare
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- Video-based human pose estimation
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- Clinical decision support systems
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- Bioimage analysis and medical AI
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## Project Status
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**Status:** Active (Awarded September 2026)
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## More Information
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- [Fundación ASISA official announcement](https://www.asisa.es/noticias-salud/2026-09-21-primer-edicion-premios-fundacion-asisa)
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- [Europa Press coverage](https://www.europapress.es/epsocial/responsables/noticia-fundacion-asisa-entrega-primeras-ayudas-investigacion-proyectos-sociales-dotacion-total-60000-euros-20260918190653.html)
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---
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*Part of the first edition of Fundación ASISA Research Awards, which granted 60,000 EUR across ten projects (five in health research and five in social initiatives).*

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