IDIVAL Precision Medicine FORUM

Destacados, EpicLearning

IDIVAL Precision Medicine FORUM

CONVERGENCE BETWEEN HIGH TECHNOLOGY AND MEDICAL CARE. AIMING TO PRECISION CARDIOLOGY

OBJECTIVES

Artificial intelligence, deep learning, machine learning, neural networks and others, are terms that have acquired extraordinary value in recent years.

The extremely high computational power achieved today and that is constantly growing allows us to talk about artificial intelligence methods that surpass humans in many of the tasks that we have classically developed, no matter how complex they may be, and among them is medicine. All these advances have allowed us to speak of «Precision Medicine» in which big data and artificial intelligence techniques play an essential role.

The evidence-based medicine that came to light about 50 years ago has been crucial in improving the quality of medical care in recent decades, but most commonly the evidence generated is applicable to general populations of patients with a very limited degree of adaptability to more specific patient profiles, not to mention the peculiarities of each particular patient.
For this series of sessions, we have invited a select group of medical and engineering professionals of various nationalities.

All of them are directly involved in this type of development that includes the use of various artificial intelligence methodologies on medical research and practice. Thus, they will present us the results of their investigations and those of other groups and their potential or real implications for clinical practice.

From the centennial electrocardiogram, through multiple imaging techniques or cardiovascular hemodynamics, all these diagnostic approaches are susceptible to exploitation by these artificial intelligence methods, yielding unimaginable possibilities that will extraordinarily enhance the discriminative diagnostic power of the techniques and their therapeutic implications. All this towards a truly personalized evidence- based medical care.

Dates: 21-24 November (6 hours)
Schedule: Monday-Thursday from 4:30pm to 6pm
Place: Virtual attendance
Registration: www.idival.org

EXPERTS

-Lambros Athanasiou. Healthcare Optics Research Lab Division, Canon Inc., US.
-Oscar Cámara. Physense, BCN MedTech, Departament de Tecnologies de la Informació i les Comunicacions, Barcelona.
-Jose M de la Torre Hernández. Jefe de Sección de Cardiología Intervencionista, Vicepresidente de la Sociedad Española de Cardiología, editor-jefe de REC Interventional Cardiology.
-Francisco Javier Saiz Rodríguez. Catedrático de Universidad, Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València.
-Max L. Olender. Massachusetts Institute of Technology, Harvard-MIT Biomedical Engineering Center, Cambridge, MA, USA.
-Zahra Motamed. Joseph Ip Distinguished Engineering Fellow Assistant Professor & Director of Cardiovascular Research Group. School of Computational Science and Engineering Thrombosis & Atherosclerosis Research Institute | Institute for Research on Aging, McMaster University, Hamilton, ON, Canada.
-Richard Rapoza. DVP Global Product Development, Abbott, CA, US.
-Rafael Vidal Pérez. Facultativo Especialista de Área. Unidad de Imagen y Función Cardiaca. Servicio de Cardiología. Complejo Hospitalario Universitario de A Coruña. CIBERCV.

MODERATORS

-Felipe Hernández. Cardiólogo, Madrid.
-Íñigo Lozano. Cardiólogo, Hospital de Cabueñes.
-Raúl Moreno. Cardiólogo, Hospital Universitario La Paz.
-Armando Pérez de Prado. Cardiólogo, Hospital de León.
-José R. Rumoroso. Cardiólogo, Hospital de Galdakano.
-Ramiro Trillo. Cardiólogo, CHU de Santiago de Compostela.

COORDINATOR

-Jose M de la Torre Hernández – Cardiology Department Universitary Hospital Marqués de Valdecilla, IDIVAL, Santander, Spain.

TARGET AUDIENCE

These sessions will be very interesting for any professional involved in clinical care or in research activity, whether biomedical or technological, not only focused on the cardiovascular field but also on other fields of medicine.

Click here to download the scientific programme.

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