Collaborators

Aarhus University, Department of Anaesthesia and Intensive Care

Aarhus University is the second largest University in Denmark and affiliated with Aarhus University Hospital as the primary medical teaching hospital. Department of Clinical Medicine is Denmark’s largest health science institute conducting research in almost all medical specialities and hosting a number of different research centres. The local ICU research network is strong and covers many aspects of ICU research. Several researchers are addressing research questions in the ICU area, spanning multicenter RCTs, epidemiological studies based on the highly validated Danish registries, experimental studies in state-of-the-art facilities, and detailed physiologic analysis of captured data in the ICUs, from which particularly the latter has been the foundation for collaboration between LCP and Aarhus University.

Bioinstrumentation and Signal Processing Laboratory (KIRON), EIA University, Colombia

The Bioinstrumentation and Signal Processing Laboratory is part of the Biomedical Engineering Department at EIA University in Medellin, Colombia. The group is focused on research and development activities over a wide range of biomedical applications covering fields as cardiovascular, respiratory, bio-sensing, mental health and well-being among others. The lab specializes in instrumentation for physiological signal acquisition, embedded processing, communication protocols, robust signal processing algorithms and machine learning. Through his research and development projects KIRON seeks to provide technological solutions and new knowledge to improve diagnosis, monitoring, treatment and prevention of diseases.

Biomedical Informatics Group, Department of Computer Science, ETH Zürich

The research in the Biomedical Informatics Group lies at the interface between methods research in Machine Learning & sequence analysis and relevant application areas in biology and medicine. In particular, we develop new learning techniques that are capable of dealing with large amounts of genomic data, allow for very accurate predictions on the phenomenon at hand and are able to comprehensibly provide reasons for their prognoses, and thereby assist in gaining new biomedical insights. In interdisciplinary collaborations, our group has significantly contributed to the understanding of several RNA-dependent regulatory processes including RNA splicing and protein translation. Current research focuses include large-scale Machine Learning, accurate transcriptome reconstruction, identification of RNA-processing regulators, developing clinical decision support systems (based on the analysis of electronic health records (EHR)) and developing methods and resources for international data sharing of genomic and clinical data (for instance, in the development of BRCAExchange.org).

Department of Medicine, University of Thessaly, Greece

The University of Thessaly (UTH) is located in the area of Thessaly in Central Greece with campuses in the cities of Volos, Larissa, Trikala and Karditsa. Despite its young age of about 40 years old, it demonstrates a remarkable presence in the academic ranking of universities. Most of its Faculties, as well as the University as a whole, have been positively evaluated by international visiting Committees, based on the considerable research and scientific performance of the academic staff and the high quality teaching programmes. The Campus of the Faculty of Medicine comprises auditoriums, lecture halls and workshops, laboratories, a library, the Secretariat and offices of the academic staff members. The Department of Medicine of the University of Thessaly and its University Hospital Department, has steadily participate in pilot and large scale e-health regional services and national and international projects, in local partnerships of municipal entities, hospitals, SMEs, patients' organisations and research institutions on local, national and international level. The Department of Medicine of the University of Thessaly in collaboration with the Department of Medicine of the University of Athens, is participating in real world data analytics of the National e-prescription system of Greece.

Faculty of Computing and Informatics (FCI), Mbarara University of Science and Technology (MUST), Uganda

Faculty of Computing and Informatics (FCI), Mbarara University of Science and Technology (MUST), Uganda. MUST is the second largest public University in Uganda whose aim is to provide quality and relevant education at national and international level with particular emphasis on Science and Technology and its application to community development. Through the Faculty of Computing and Informatics, MUST coordinates the MIT-SANA course. The course was launched at MUST in 2012 starting with 2 students under the coordination of Mr. Kimera Richard. The course is now one of the key research activities aimed at emphasizing, strengthening and uplifting research, innovation, mentorship and collaboration opportunities at MUST, in the areas of computing and health. FCI collaborates with the Faculty of medicine to carry out research in health informatics. The Faculty of medicine follows a Community Based Medical Education (CBME) as its underlying Philosophy. Right from the start, students are exposed to concepts about community problems which is a focus in the student training.

Instituto de Efectividad Clínica y Sanitaria (IECS)

The Institute for Clinical Effectiveness and Health Policy (IECS) is an independent academic institution devoted to health research, education, and technical cooperation in healthcare. Our mission is to contribute to the improvement of global health by generating and promoting the use of the best scientific evidence. Our institution is an executive unit of the CONICET (National Scientific and Technical Research Council) and is affiliated with the University of Buenos Aires. It has a multidisciplinary staff of professionals, including physicians, statisticians, epidemiologists, nutritionists, health economists, policy experts and social scientists, and an administrative and technical support staff. The Department of Research on Chronic Diseases seeks to promote health through the generation of scientific evidence and the implementation of interventions that prevent chronic diseases and optimize their integral management. The department has conducted many observational and experimental studies focused on prevention and control of chronic diseases, such as cardiovascular diseases, hypertension, diabetes, dyslipidemia, obesity, lung disease and cancer. Our department hosts the South American Center of Excellence for Cardiovascular Health (CESCAS), and maintains and continues to expand collaborative research on new technologies and training programs.

Instituto Superior Técnico, Universidade de Lisboa

IS4 is the Laboratory of Intelligent Systems for Data Analysis, Modeling and Optimization (http://is4.tecnico.ulisboa.pt/), a research group from the Center of Intelligent Systems from IDMEC, Instituto Superior Técnico, Universidade de Lisboa (http://www.idmec.ist.utl.pt/structure_center_intelligent_systems_research.php?page=research). The research activities of the research group are coordinated by João M. Costa Sousa. This research area addresses the development of models and decision support systems based on intelligent methodologies. As data gets big and complex, there is a need for multidisciplinary approaches to transform data into knowledge. This transformation allows analysis, learning, knowledge extraction and modeling in very different domains, including engineering, biomedicine or environment. This research area involves the design of intelligent models and algorithms and the development of decision making models to form classifiers personalized diagnosis, patient treatment systems, and process modeling systems.. It brings together researchers from multi-disciplinary fields with the purpose of advancing knowledge through modeling and optimize data and systems.

Laboratory for Computational Physiology

The Laboratory for Computational Physiology (LCP), under the direction of Professor Roger Mark, conducts research aimed at improving health care through the generation of new knowledge, monitoring technology and clinical decision support by applying physiological signal processing, data science and machine learning technology to large collections of critical care data. The laboratory’s investigators include clinicians, computer and data scientists, electrical engineers, and biostatisticians. Current LCP research comprises two major projects, Critical Care Informatics and PhysioNet.

National Telehealth Center, National Institutes of Health, University of the Philippines Manila

The National Telehealth Center (NTHC) is one of 12 institutes/centers of the University of the Philippines - National Institutes of Health in Manila, Philippines. Founded in 1998, the NTHC's vision is to be the recognized authority in transformative digital health research and development in the Philippines and Southeast Asia. Under the direction of Dr. Raymond Francis Sarmiento, its mission is to be a centre of excellence in digital health research through innovative, interdisciplinary, and translational methods towards more efficient health care systems. We develop, design, and implement health information systems in the Philippines, as well as conduct monitoring and evaluation projects of digital health solutions. The NTHC is a proud and active member of the Asia eHealth Information Network (AeHIN). It also represents the academe in several national eHealth experts' groups, foremost of which is the Philippine National eHealth Technical Working Group, which provides directions and recommends eHealth strategies to the Philippine National eHealth Steering Committee for nationwide implementation.

Saw Swee Hock School of Public Health, National University of Singapore

The School aims to continually foster healthier communities in Singapore and the region, and impact public health programmes and policies through its robust educational programmes and translational cross-disciplinary research work on cohort studies and life course epidemiology, infectious disease research, health technology assessments, health promotion, workplace safety and health, health systems evaluation and health services research. An interdisciplinary approach, augmented by rigorous training, applicable research and regional partnerships, places SSHSPH at the forefront of public health knowledge discovery and practice in Asia. The School actively collaborates with many partners including the London School of Hygiene and Tropical Medicine, Karolinska Institutet, Harvard School of Public Health and University of Michigan School of Public Health. Its flagship programme, the Master of Public Health (MPH) degree, attracts students from a wide range of disciplines from within Singapore and throughout the region.

Taipei Medical University Foundation

Taipei Medical University (TMU) is ranked as one of the World's Top 100 medical universities according to the QS World University Rankings. TMU is composed of seven colleges including College of Medical Science and Technology. The College of Medical Science and Technology, is a leading institution for students who have demonstrated the excellence in academics. The International Center for Health Information Technology (ICHIT), is a leading center who have demonstrated the excellence in cutting-edge research in the utilization of ICT in the healthcare. Our focus is 4P medicine (Prediction, Prevention, Participation and Personalization). We work closely with our teaching hospitals and practice translational medicine to our best knowledge. We formed a multidisciplinary team consist of experts from Biomedical informatics, Data mining, Natural Language Processing, Social Networking experts, Consultants from Neurology, Cardiology, Nephrology and Dermatology, Physicians, Nurses and medical technologists. We are mainly focusing on translational research in HIT (Health Information Technology). In this context we can offer you design as well as functional analysis of the software, evaluation of the mobile Apps, business and processes analytics, integration of heterogeneous e-Health and m-Health systems through a common open platform.