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Center of Science, Technology and Development for innovation in Medicine and Health: inLab.iNova

Abstract

This document deals with the Research Project on integrated health information systems, including large databases (big data), artificial intelligence, predictive models, advanced therapies for diagnosis, prevention and treatment of chronic diseases to be carried out by Inova HC, Nucleus of Technological Innovation, Hospital das Clínicas, Faculty of Medicine, USP. The area of Medicine and Health is an essential scientific field for the development of society and the evolution of humanity. The recent worldwide pandemic demonstrated how fundamental and necessary it is to develop new methods and techniques for diagnosis and therapy that allow quick and effective solutions to health problems. The application of Artificial Intelligence (AI) techniques in Medicine and Health has the potential to improve, speed up and automate the diagnosis and treatment of some of the main diseases that afflict humanity. In this respect, this innovation will allow a scientific and technological leap that could benefit thousands of people and patients. Objectives: Conduct basic and applied problem-oriented research, seeking to produce wealth for Brazil and contribute to guaranteeing the rights and quality of life of Brazilians; Carry out projects in partnership with governmental and non-governmental bodies; Generate Startups or Spin-offs that incorporate research results developed by the Center in its products or services; Substantially contribute to the training of qualified labor at the technical, technologist, bachelor's and lato and/or stricto sensu levels in the area of Artificial Intelligence applied in the thematic areas of Medicine and Health; Focus on common advanced scientific and technological research, articulating the research activities to be developed, which is the field of Artificial Intelligence in Medicine and Health. In this project we aim to implement a Research Center for Development (CCD) on integrated information systems in health, including large databases (big data), artificial intelligence, predictive models, advanced therapies for diagnosis, prevention and treatment of chronic diseases in the health area. The project is carried out jointly by the Faculty of Medicine of USP (FMUSP), the Hospital das Clínicas at FMUSP (HC), the Institute of Radiology at the HC (InRad), the Polytechnic School of Engineering at USP (POLI). This partnership aims to implement platforms, develop methods and create new algorithms to support diagnosis and therapy in Medicine and Health Management. HCFMUSP serves approximately 1.5 million patients per year. It is the largest medical complex in South America. It is linked to the Health Department of the State of São Paulo, responsible for a population of 44 million people, for care purposes. It is linked to and to FMUSP for teaching and research purposes. FMUSP has 1,000 undergraduate and 2,000 graduate students. FMUSP's stricto sensu Post-graduation is made up of 27 programs at the Academic Master's, Professional Master's and Doctoral levels, aimed at training researchers and professors in higher education. It has approximately 500 accredited advisors and plays an important role in the country's scientific production, with publications in high-impact journals at national and international level. The Polytechnic School of Engineering at USP has a number of undergraduate and graduate students equivalent to the Faculty of Medicine. Undergraduate and graduate courses are planned, at both faculties, at USP. This platform has the potential to be used in units of the SUS Unified Health System. First, we intend to offer the SES-SP Health Secretariat of the State of São Paulo, and for all federative units. (AU)

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