Descripción del proyecto
Métodos personalizados para lograr una mejor sanidad
Con el objetivo de aumentar la seguridad general de los pacientes, en el proyecto de investigación SafePolyMed, financiado con fondos europeos, se pretende desarrollar herramientas innovadoras para ayudar a médicos y farmacéuticos a definir, evaluar y gestionar mejor las interacciones medicamento-medicamento-genes. El aprendizaje automático de grandes conjuntos de datos reales identificará a los pacientes en situación de riesgo, las herramientas de dosificación de precisión basadas en modelos optimizarán sus tratamientos y las mediciones de los resultados comunicados por los pacientes servirán para evaluar el éxito del tratamiento. Los centros de gestión de medicamentos servirán para que pacientes y profesionales sanitarios analicen las causas subyacentes de los malos resultados terapéuticos y definan planes de tratamiento más personalizados. Al educar a los ciudadanos y capacitarlos para que participen en la autodocumentación de su tratamiento, el equipo del proyecto pretende mejorar la comunicación entre pacientes y médicos, y proporcionar un acceso equitativo a una asistencia sanitaria innovadora, sostenible y de alta calidad en toda Europa.
Objetivo
Polypharmacy, multimorbidity and genetic heterogeneity can affect drug efficacy, raise the risk for adverse drug reactions (ADRs) and increase healthcare costs. ADRs are among the leading causes of death in developed countries and a major cause of hospitalization. Drug-drug interactions (DDIs) and drug-gene interactions (DGIs) are highly interconnected and require a holistic approach to improve safety of our citizens. However, investigations on real-life drug-drug-gene interactions (DDGIs) in clinical trials are unfeasible due to combinatorial explosion, high costs and ethical concerns. Hence, significant knowledge gaps exist. Furthermore, the lack of participation in managing their conditions might be excessively demanding for polymedicated and multimorbid citizens. SafePolyMed will develop a novel and innovative framework to define, assess and manage DDGIs for physicians and individual patients resulting in education and empowerment of citizens as well as in reduced healthcare costs by improving patient safety. The main objectives of SafePolyMed are (1) development of a novel, evidence-based risk scoring system using machine learning on large real-world datasets to identify patients at risk; (2) identification and validation of patient reported outcome measures for multifactorial patient safety in collaboration with European patient organizations;
(3) development of an electronic tool to empower patients by allowing them to properly manage their therapies, check for and educate about DD(G)Is and collect their patient reported outcomes; (4) mathematical modelling of clinically relevant compounds to derive individualized dose adaptations for safe and effective dose regimens in case of DDGIs, accessible via a web-based decision support system with tailored information for either citizens or physicians and (5) validation of the developed safety tools in a ?proof-of-principle? study including representative patient cohorts from different European clinical sites.
Ámbito científico
- medical and health sciencesbasic medicinepharmacology and pharmacydrug safety
- medical and health scienceshealth sciencespersonalized medicine
- medical and health sciencesbasic medicinepharmacology and pharmacyadverse drug reactions
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencesmathematicsapplied mathematicsmathematical model
Programa(s)
- HORIZON.2.1 - Health Main Programme
- HORIZON.2.1.6 - Health Care Systems
Régimen de financiación
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
66123 Saarbrucken
Alemania