{"id":10143,"date":"2025-02-13T13:35:00","date_gmt":"2025-02-13T12:35:00","guid":{"rendered":"https:\/\/microchip4age.es\/microchip4age-leads-to-a-pioneering-thesis-on-artificial-intelligence-applied-to-the-monitoring-of-diabetes-patients\/"},"modified":"2025-05-12T13:37:33","modified_gmt":"2025-05-12T11:37:33","slug":"microchip4age-leads-to-a-pioneering-thesis-on-artificial-intelligence-applied-to-the-monitoring-of-diabetes-patients","status":"publish","type":"post","link":"https:\/\/microchip4age.es\/en\/microchip4age-leads-to-a-pioneering-thesis-on-artificial-intelligence-applied-to-the-monitoring-of-diabetes-patients\/","title":{"rendered":"MicroChip4Age leads to a pioneering thesis on artificial intelligence applied to the monitoring of diabetes patients"},"content":{"rendered":"

The research, conducted by PhD candidate David D\u00edaz Jim\u00e9nez and supervised by Dr. Macarena Espinilla and Dr. Jos\u00e9 Luis L\u00f3pez, presents an advanced methodology for recognizing behaviors in the homes of chronic patients, validated in collaboration with healthcare professionals in Cabra (C\u00f3rdoba).<\/span><\/h2>\n

Ja\u00e9n, 13\/02\/2025<\/b> \u2013 Researcher <\/span>David D\u00edaz Jim\u00e9nez<\/b>, employed under the framework of the <\/span>MicroChip4Age<\/b> project at the <\/span>University of Ja\u00e9n<\/b>, has successfully defended his <\/span>PhD thesis<\/b> entitled <\/span>\u201cIntelligent Health Platforms: Monitoring Patients with Type 2 Diabetes and Sustainability\u201d<\/span><\/i>, as part of the university\u2019s <\/span>Doctoral Program in Information and Communication Technologies<\/b>.<\/span><\/p>\n

The thesis, supervised by <\/span>Dr. Macarena Espinilla Est\u00e9vez<\/b> and <\/span>Dr. Jos\u00e9 Luis L\u00f3pez Ruiz<\/b>\u2014both members of the MicroChip4Age team\u2014addresses <\/span>methodological advancements in recognizing activities and behaviors related to therapeutic adherence<\/b> in the homes of patients with type 2 diabetes. The work proposes a comprehensive architecture\u2014<\/span>AI2EPD<\/b>\u2014which integrates <\/span>environmental sensors<\/b>, <\/span>wearable devices<\/b>, and <\/span>indoor localization technologies<\/b> such as <\/span>UWB and BLE<\/b>, combined with <\/span>hybrid artificial intelligence models based on fuzzy logic<\/b>.<\/span><\/p>\n

Applied research validated in real-life settings<\/b><\/h3>\n

One of the most notable aspects of the thesis is its validation in <\/span>real-world environments<\/b>: several sensor-equipped homes of diabetes patients in <\/span>Cabra (C\u00f3rdoba)<\/b>, where pilot testing was conducted in collaboration with the <\/span>Matrona Antonia Mesa Fern\u00e1ndez Health Center<\/b>. Among the attendees at the defense was <\/span>Dr. Jes\u00fas L\u00f3pez Lama<\/b>, family physician at the center and an active collaborator in the <\/span>MicroChip4Age<\/b> project, along with other healthcare professionals involved in system deployment and evaluation.<\/span><\/p>\n

The thesis introduces a <\/span>participatory methodology<\/b> that involves patients, healthcare staff, and technology experts throughout the design and validation process, ensuring an approach that is <\/span>applicable, ethical, and respectful of privacy<\/b>. It also includes an analysis of the system\u2019s <\/span>sustainability<\/b> in relation to the <\/span>Sustainable Development Goals (SDGs)<\/b> of the <\/span>2030 Agenda<\/b>.<\/span><\/p>\n

A contribution to the technological core of MicroChip4Age<\/b><\/h3>\n

This doctoral work strengthens the <\/span>MicroChip4Age<\/b> research line focused on <\/span>AI for connected health<\/b>, especially for monitoring older adults and chronic patients. The developed platforms, algorithms, and methodologies have high <\/span>scalability potential<\/b>, with future applications in <\/span>residential care facilities, hospitals, and underserved rural areas<\/b>.<\/span><\/p>\n

The successful defense of this thesis marks an <\/span>academic and scientific milestone<\/b> for the project team, demonstrating the value of <\/span>proximity-based technological research<\/b> that is aligned with real-world healthcare needs and aimed at <\/span>improving quality of life within the home<\/b>.<\/span><\/p>\n\n

\"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

The research, conducted by PhD candidate David D\u00edaz Jim\u00e9nez and supervised by Dr. Macarena Espinilla and Dr. Jos\u00e9 Luis L\u00f3pez, presents an advanced methodology for recognizing behaviors in the homes of chronic patients, validated in collaboration with healthcare professionals in Cabra (C\u00f3rdoba). Ja\u00e9n, 13\/02\/2025 \u2013 Researcher David D\u00edaz Jim\u00e9nez, employed under the framework of the […]<\/p>\n","protected":false},"author":1,"featured_media":10140,"parent":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[66],"tags":[],"class_list":["post-10143","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-microchip4age-en"],"yoast_head":"\nMicroChip4Age leads to a pioneering thesis on artificial intelligence applied to the monitoring of diabetes patients - Tecnolog\u00eda que protege sin invadir<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/microchip4age.es\/en\/microchip4age-leads-to-a-pioneering-thesis-on-artificial-intelligence-applied-to-the-monitoring-of-diabetes-patients\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MicroChip4Age leads to a pioneering thesis on artificial intelligence applied to the monitoring of diabetes patients - Tecnolog\u00eda que protege sin invadir\" \/>\n<meta property=\"og:description\" content=\"The research, conducted by PhD candidate David D\u00edaz Jim\u00e9nez and supervised by Dr. Macarena Espinilla and Dr. Jos\u00e9 Luis L\u00f3pez, presents an advanced methodology for recognizing behaviors in the homes of chronic patients, validated in collaboration with healthcare professionals in Cabra (C\u00f3rdoba). 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