<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Healthcare | CVPD Research group</title><link>https://cvpd.github.io/tag/healthcare/</link><atom:link href="https://cvpd.github.io/tag/healthcare/index.xml" rel="self" type="application/rss+xml"/><description>Healthcare</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 23 Sep 2026 00:00:00 +0000</lastBuildDate><image><url>https://cvpd.github.io/media/icon_hu8293348334715697500.png</url><title>Healthcare</title><link>https://cvpd.github.io/tag/healthcare/</link></image><item><title>AI-based Clinical Decision Support System for Early Detection of iNPH</title><link>https://cvpd.github.io/project/asisa-investigacion-2026/</link><pubDate>Wed, 23 Sep 2026 00:00:00 +0000</pubDate><guid>https://cvpd.github.io/project/asisa-investigacion-2026/</guid><description>&lt;h2 id="overview">Overview&lt;/h2>
&lt;p>This project has been awarded by &lt;strong>Fundación ASISA&lt;/strong> as part of their first call for research and social action support. The research focuses on developing an &lt;strong>AI-powered clinical decision support tool&lt;/strong> that leverages &lt;strong>video analytics and computer vision techniques&lt;/strong> to enable &lt;strong>early detection of idiopathic normal pressure hydrocephalus (iNPH)&lt;/strong>.&lt;/p>
&lt;h3 id="research-objectives">Research Objectives&lt;/h3>
&lt;ul>
&lt;li>Develop computer vision algorithms for gait and mobility analysis in elderly patients&lt;/li>
&lt;li>Create machine learning models for early detection of iNPH biomarkers&lt;/li>
&lt;li>Build a clinical decision support system for neurology departments&lt;/li>
&lt;li>Validate the system in clinical settings with real patient data&lt;/li>
&lt;/ul>
&lt;h3 id="technical-approach">Technical Approach&lt;/h3>
&lt;p>The project combines expertise in:&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Video-based human pose estimation&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Gait analysis and movement pattern recognition&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Deep learning for biomedical applications&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Clinical workflow integration&lt;/strong>&lt;/li>
&lt;/ul>
&lt;h2 id="funding-details">Funding Details&lt;/h2>
&lt;table>
&lt;thead>
&lt;tr>
&lt;th style="text-align: left">Field&lt;/th>
&lt;th style="text-align: left">Value&lt;/th>
&lt;/tr>
&lt;/thead>
&lt;tbody>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>Funding Agency&lt;/strong>&lt;/td>
&lt;td style="text-align: left">Fundación ASISA&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>Award Type&lt;/strong>&lt;/td>
&lt;td style="text-align: left">Research Grant&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>Amount&lt;/strong>&lt;/td>
&lt;td style="text-align: left">6,000 EUR&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>Duration&lt;/strong>&lt;/td>
&lt;td style="text-align: left">2026-2027&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>Principal Investigator&lt;/strong>&lt;/td>
&lt;td style="text-align: left">Unai Elordi&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>Researchers&lt;/strong>&lt;/td>
&lt;td style="text-align: left">David Campo Caballero ( Facultad de Medicina y Enfermeria, Osakidetza), Elsa Fernandez Gómez, Ignacio Arganda-Carreras&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">&lt;strong>Affiliation&lt;/strong>&lt;/td>
&lt;td style="text-align: left">CVPD Research Group&lt;/td>
&lt;/tr>
&lt;/tbody>
&lt;/table>
&lt;h2 id="related-research-lines">Related Research Lines&lt;/h2>
&lt;p>This project aligns with the CVPD group&amp;rsquo;s research in:&lt;/p>
&lt;ul>
&lt;li>Computer vision and gait analysis&lt;/li>
&lt;li>Machine learning and deep learning for healthcare&lt;/li>
&lt;li>Video-based human pose estimation&lt;/li>
&lt;li>Clinical decision support systems&lt;/li>
&lt;li>Bioimage analysis and medical AI&lt;/li>
&lt;/ul>
&lt;h2 id="project-status">Project Status&lt;/h2>
&lt;p>&lt;strong>Status:&lt;/strong> Active (Awarded September 2026)&lt;/p>
&lt;h2 id="more-information">More Information&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://www.asisa.es/noticias-salud/2026-09-21-primer-edicion-premios-fundacion-asisa" target="_blank" rel="noopener">Fundación ASISA official announcement&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://www.europapress.es/epsocial/responsables/noticia-fundacion-asisa-entrega-primeras-ayudas-investigacion-proyectos-sociales-dotacion-total-60000-euros-20260918190653.html" target="_blank" rel="noopener">Europa Press coverage&lt;/a>&lt;/li>
&lt;/ul>
&lt;hr>
&lt;p>&lt;em>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).&lt;/em>&lt;/p></description></item><item><title>Unai Elordi receives Fundación ASISA Research Award</title><link>https://cvpd.github.io/post/2026-09-23-unai-asisa-award/</link><pubDate>Wed, 23 Sep 2026 00:00:00 +0000</pubDate><guid>https://cvpd.github.io/post/2026-09-23-unai-asisa-award/</guid><description>&lt;p>We are pleased to announce that &lt;strong>Unai Elordi&lt;/strong>, researcher affiliated with the Computer Vision and Pattern Discovery (CVPD) group, has been selected as one of the five winners of the &lt;strong>first Fundación ASISA Research Awards&lt;/strong> in the health research category.&lt;/p>
&lt;p>The award recognizes his project on the &lt;strong>development of a clinical decision support system for the early detection of idiopathic normal pressure hydrocephalus (iNPH) using video analytics and artificial intelligence&lt;/strong>.&lt;/p>
&lt;h3 id="-project-overview">🎯 Project overview&lt;/h3>
&lt;p>The awarded research focuses on creating an &lt;strong>AI-powered clinical decision support tool&lt;/strong> that leverages &lt;strong>video analytics and computer vision techniques&lt;/strong> to enable &lt;strong>early detection of idiopathic normal pressure hydrocephalus&lt;/strong>, a neurological condition that affects gait and mobility in elderly patients.&lt;/p>
&lt;p>This work aligns with the CVPD group&amp;rsquo;s research lines in:&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Computer vision and gait analysis&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Machine learning and deep learning for biomedical applications&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Clinical decision support systems&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Video-based human pose estimation and movement analysis&lt;/strong>&lt;/li>
&lt;/ul>
&lt;h3 id="-award-details">💰 Award details&lt;/h3>
&lt;p>Fundación ASISA has granted this award as part of its &lt;strong>first call for research and social action support&lt;/strong>, with a total investment of &lt;strong>60,000 euros&lt;/strong> distributed across ten projects (five in health research and five in social initiatives).&lt;/p>
&lt;p>Each selected project receives a grant of &lt;strong>6,000 euros&lt;/strong> to support the research work. The foundation has announced that this program will continue with a &lt;strong>new edition in 2027&lt;/strong>.&lt;/p>
&lt;h3 id="-other-awarded-research-projects">📋 Other awarded research projects&lt;/h3>
&lt;p>In the research category, the other four selected projects were:&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Macarena Espinilla&lt;/strong>: Application of AI for early detection of clinical and cognitive deterioration in university settings&lt;/li>
&lt;li>&lt;strong>Óscar Rapado&lt;/strong>: Development of an epigenetic signature in liquid biopsy for stratifying the risk of occult lymph node metastases in oral cancer&lt;/li>
&lt;li>&lt;strong>Adrián Mosquera&lt;/strong>: Validation of an AI tool to improve secure access to clinical knowledge in oncohematology&lt;/li>
&lt;li>&lt;strong>Isabel María Barceló&lt;/strong>: Research on the resistance mechanism of &lt;em>Pseudomonas aeruginosa&lt;/em> in otitis media&lt;/li>
&lt;/ul>
&lt;h3 id="-more-information">🔗 More information&lt;/h3>
&lt;p>Official announcement from Fundación ASISA:&lt;/p>
&lt;ul>
&lt;li>&lt;a href="https://www.asisa.es/noticias-salud/2026-09-21-primer-edicion-premios-fundacion-asisa" target="_blank" rel="noopener">Fundación ASISA estrena un programa de ayudas a la investigación en salud y a proyectos sociales&lt;/a>&lt;/li>
&lt;/ul>
&lt;p>News coverage:&lt;/p>
&lt;ul>
&lt;li>&lt;a href="https://www.europapress.es/epsocial/responsables/noticia-fundacion-asisa-entrega-primeras-ayudas-investigacion-proyectos-sociales-dotacion-total-60000-euros-20260918190653.html" target="_blank" rel="noopener">Europa Press: Fundación ASISA entrega sus primeras ayudas a investigación y proyectos sociales&lt;/a>&lt;/li>
&lt;/ul>
&lt;hr>
&lt;p>&lt;em>Congratulations to Unai Elordi and all the awarded researchers!&lt;/em>&lt;/p></description></item></channel></rss>