Madrid-UCM node, is led by the researcher Mª del Carmen Pardo (Universidad Complutense University of Madrid), and formed by 20 members. The main research lines revolve around the development of computational of statistical methods that enables us to implement flexible individually tailored solutions for complex problems in the context of clinical research and biomedical research.
Principal Investigator: María del Carmen Pardo Llorente (Universidad Complutense de Madrid)
View all membersMAIN LINES OF INVESTIGATION
Biomarkers, surrogate endpoints, and clinical outcome assessments provide an essential set of tools needed to translate scientific concepts into diagnostic and therapeutic approaches and technologies. Recent advances in the laboratory sciences have led to the discovery of a large number of candidate biomarkers, which hold great potential for disease diagnosis and treatment. Therefore, it is of huge interest to develop statistical methods for using effectively these candidate biomarkers to enhance clinical practice. It is our goal to develop new tools to select, combine, and evaluate biomarkers for disease classification and treatment selection. Classification markers predict an individual’s disease outcome and are useful for the detection of diseases at an early stage when a treatment is most effective. The node´s main lines of research will be mainly focussed on:
Our last aim is the application of the proposed methodology to real data from health, medical and biological sciences.
Se realiza fundamentalmente con el Servicio de Epidemiología de la Comunidad de Madrid
Servicio de Epidemiología de la Comunidad de Madrid
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
Grupo de Genética y Epidemiología Molecular del Centro Nacional de Investigaciones Oncológicas
Grupo de Dinámica y Función del Genoma del Centro de Biología Molecular Severo Ochoa
Agencia para la Formación, Investigación y Estudios Sanitarios de la Comunidad de Madrid, Pedro Laín Entralgo
María del Carmen Pardo Llorente
Principal InvestigatorComité EjecutivoUniversidad Complutense de MadridAlba María Franco Pereira
Universidad Complutense de MadridAlberto García
Universidad Complutense de MadridAriel Alonso
Leuven Biostatistics and statistical Bioinformatics CentreBeatriz Cobo
Universidad de GranadaBenjamin Reiser
University of HaifaChristos Nakas
University of ThessalyClaudio J. Salaroli
Universidad Complutense de MadridDavid Lora
Hospital 12 de Octubre_UCMDimitris Rizopoulos
Erasmus Medical CenterGökçe Deliorman
Universidad Complutense de MadridJulia Amador
Universidad Complutense de MadridLucía Silvia Inglada Pérez
Universidad Complutense de MadridMaría Jesús López
Universidad Complutense de MadridNarayanaswamy Balakrishnan
McMaster UniversityRosa Alonso
Universidad Complutense de MadridRosario Susi
Universidad Complutense de MadridSilvia Pineda
Universidad Complutense de MadridTeresa Pérez
Universidad Complutense de MadridYing Lu
University of Stanford