TANIA
Transition AI-based tools to Support Adolescents and Young Adults with obesity and Type 1 diabetes
DALIA
Data-driven personalization of a digital health solution to support family caregivers of children with chronic conditions
Ayudas TORRES QUEVEDO
1) Development of a tailored Generative AI system for personalized caregiver narratives for family education in pediatric care
2) Research towards the creation of a User-Centered AI-based tool for supporting Transition of minors with type 1 diabetes
DASH-OBESITY
Solución avanzada con plataforma de Inteligencia Artificial Responsable para el auto manejo de la obesidad de carácter transdiagnóstico
PALOMA
Programa de Apoyo integraL y Orientación para el Manejo de la diAbetes durante su debut
ISABEL
Investigación para el desarrollo de taxonomías semánticas y algoritmos de IA para la gestión de la salud familiar en enfermedades crónicas foco en obesidad, adicciones y salud mental
ELISA
Empowering Lives with transition AI-based Solution for Adolescents and young adults with obesity and Type 1 diabetes
Línea IVF 2024
Línea de certificación internacional
Programa Mentoring y Apoyo a la Internacionalización
Doctorados industriales
Diagnosis and Understanding of Chronic Disease. Symptoms through Transfer Learning and Explainable Artificial Intelligence Procedures
SYNERGIC PULSE
Soluciones transformadoras para la orientación sanitaria personalizada en el tratamiento de la diabetes pediátrica tipo 1
COVIDAI: Sensing AI
Plataforma wearable para el diagnóstico temprano de complicaciones de COVID-19 en pacientes con enfermedades crónicas mediante el uso de Inteligencia Artificial
MONTSE
Design and developMent Of explaiNable AI models for the understanding of health staTuS in lungcancEr patients via digital biomarkers
La importancia de las colaboraciones con expertos
Cada herramienta en Adhera Health está desarrollada por un equipo de médicos, científicos y expertos en salud. Utilizan la investigación más reciente para garantizar que lo que recibes realmente funciona: un apoyo de confianza que no solo es inteligente, sino también comprobado para ayudar a familias como la tuya.
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Enhancing Adherence and Mental Well-Being in Pediatric Growth Hormone Therapy: Feasibility Prospective Observational Study of a Family-Centered Digital Companion JMIR Pediatrics and Parenting
Empowering Caregiver Well-Being With the Adhera Caring Digital Program for Family Caregivers of Children Living With Type 1 Diabetes: Mixed Methods Feasibility Study JMIR Pediatrics and Parenting
Disparate Model Performance and Stability in Machine Learning Clinical Support for Diabetes and Heart Diseases American Medical Informatics Association (AMIA) Informatics Summit
Impact of a personalized digital intervention on the wellbeing of caregivers of children with type 1 diabetes and diabetes management
International Society for Pediatric and Adolescent Diabetes 2024Impacto de una intervencion digital personalizada focalizada en el bienestar de cuidadores de niños con diabetes mellitus 1 y su repercusión en el control metabólico
46th Congress of the Spanish Society of Pediatric Endocrinology – SEEP 2024Digital health for emotional and self-management support of caregivers of children receiving growth hormone treatment: a feasibility study protocol
BMC Medical Informatics and Decision MakingmHealth intervention to improve quality of life in patients with chronic diseases during the COVID-19 crisis in Paraguay: A study protocol for a randomized controlled trial
The Public Library of Science (PLoS)Humanitarian health computing using artificial intelligence and social media: A narrative literature review
International Journal of Medical InformaticsSleep Quality Prediction From Wearable Data Using Deep Learning
JMIR PublicationsAnalyzing recommender systems for health promotion using a multidisciplinary taxonomy: A scoping review
International Journal of Medical InformaticsFeatures of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines
JMIR Publications -
Digital Health for Caregivers Emotional and Self-management Support (CARING)
ClinicalTrials.gov ID: NCT04812665Digital Health Intervention for Caregivers Emotional and Self-management Support of Children With Type 1 Diabetes
ClinicalTrials.gov ID: NCT05483803DAta-driven PersonaLIzation of a DigitAl Health Solution to Support Family Caregivers of Children with Chronic Conditions
ClinicalTrials.gov ID: NCT06520787Digital Health Intervention Based on Artificial Intelligence to Support the Personalized Recovery of Long COVID Patients Affected by Fatigue (AIDA) ClinicalTrials.gov ID: NCT05483829
SENSING-AI Cohort for Long COVID Patients (SENSING-AI) ClinicalTrials.gov ID: NCT05204615
Demostrado. Publicado.
Reconocido por líderes en atención pediátrica
Validado por investigaciones revisadas por pares, reconocido por las principales sociedades médicas y confiable para familias y profesionales sanitarios en todo el mundo
