The Universitat de València, the Valencian Conselleria de Sanitat and the company Nephrocare E-Services Spain (subsidiary of the German multinational Medical Care) have signed an agreement to develop a computer system which will improve patients’ assistance and diagnosis –especially for those suffering from kidney diseases. This computer system, which will reduce health expenditure at the same time, will include algorithms provided by our institution.
Among other, the following figures have been present in the agreement signing: the Universitat’s Principal, Esteban Morcillo; the Valencian ministers for health and education, Luis Rosado and María José Catalá; the general director on Fresenius Medical Care Spain, Ricardo Arias; the Vice-Principal for Research, Pedro Carrasco; the Parc Científic’s director, Antonio Raga; and the assistant director-general for assessment and health research, Pilar Viedma.
IDAL (Intelligent Data Analysis Laboratory), located at the Escola Tècnica Superior d’Enginyeria (school of engineering, ETSE), works with computational intelligence techniques and has obtained algorithms applied successfully to medicine and pharmacy fields (cardiology, urology, radiology, dosage optimization, etc.). These theoretical models will be tested from now on in the centres of Agencia Valenciana de la Salud and in the hospital network Fresenius Medical Care. The results will be analyzed and an application for the public systems will be obtained.
The Principal, Esteban Morcillo, has reminded that the aim of the university is ‘to promote and catalyze efficient exchange relationships of applied knowledge to society’s service, especially companies.’ He has stressed that Nephrocare E-Services is located at the Parc Científic as well.
The algorithms developed by the university allow to follow patients’ history and treatment, especially in cases of patients with chronic diseases, in order to apply some protocols to save health expenditure.
The Intelligent Data Analysis Laboratory at the University of Valencia, Spain, is coordinated by prof. Emilio Soria, who has been conducting research in machine learning for a long time, with plenty of cited papers in the area. IDAL is concerned with the application of techniques coming from very different areas such as statistics, artificial intelligence, data mining, computational statistics, machine learning, optimization, dynamic programming; to real-world data analysis problems. The IDAL has successfully applied those techniques to a wide range of applications in Medicine (Cardiology, Urology, Radiology, Intern Medicine, etc), Pharmacy (Pharmacokinetics, Pharmacodynamics, reinforcement learning in dosage
optimization) intelligent processing of biomedical signals, models of prediction in environment, Web mining, marketing, etc.
Last update: 2 de february de 2012 14:44.
News release
