DescriptionBack to top
The quantification of medical and health care has brought a revolution to our lives with strong and long-lasting social and economic positive impact. This quantification stems from an exemplary synergy among mathematics, statistics, data science, medicine, machine learning (ML) and artificial intelligence (AI), and has been prompting the creation of new interdisciplinary areas across the various fields. While there has been an unprecedented growth and development in many scientific directions, there is a continuing need to further develop existing areas and set the foundations for new ones, as the underlying issues and challenges are evolving in rather complex and interlinked ways. Indeed, creating new therapies has experienced a fast growth already but efficiently funding such innovations and, in turn, making them available at large-scale has its own distinct challenges and demand for new business models and novel decision-making mechanisms. Furthermore, personalized medicine is rapidly becoming a main component of medical care but many issues directly related to the patients’ attitude, risk communication and individual treatment decisions have not been neither extensively studied nor quantified.
The long-term program aims at creating an interdisciplinary platform for knowledge exchange and debate among the various stakeholders: mathematicians, statisticians, physicians, economists, computer scientists, policy makers and researchers in decision science, data science, ML, AI, business, operations research and engineering. The focus will be more on newer interdisciplinary themes like risk management, funding and R&D of biomedical innovation, health care system design, health care delivery, insurance coverage, personalized diagnostics and treatments, telemedicine, medical cyber-physical systems and others.
OrganizersBack to top
Program WorkshopsBack to top
Analytics has the potential to harness the growing availability of data and propel the development of cutting-edge models that improve the quality and efficiency of medical and health care. This workshop will focus on how different sources of healthcare data, including electronic medical records and clinical trial results, can be leveraged to fundamentally change modern organizations by improving not only healthcare operations but also patient outcomes. In addition, topics related to decision making for macro-scale healthcare policies will be discussed.
This workshop will focus on cutting-edge advances in ML and AI applied to personalized medicine and prognostic care for treatments of diseases like cancer, cardiovascular conditions and diabetes. These treatments target the needs of the individual patient on the basis of genetic, biomarker and phenotypic characteristics. ML advances used to improve other aspects of personalized care through eliciting patients’ preferences, identifying behavioral characteristics and individual decision-making patterns, and in turn use this information to improve personalized care in its entirety, will be also presented.
The advancement of statistical learning techniques and the growing availability of medical data stimulate the development of cutting-edge predictive models for various patient and population characteristics. This workshop will focus on predictive analytics and stochastic modeling for applications in healthcare operations management like among others, ER design and operation, hospital budgeting, nursing care availability, supplies procurement, services and planning, and other components of health care systems.
Breakthroughs in biomedical science have delivered life-saving therapies but at extreme costs, making these therapeutics frequently unaffordable to many patients. The decision-making processes for balancing medical needs with economic incentives and the complexity of the healthcare system are fraught with social, ethical, and political dimensions that most stakeholders are not equipped to address. This workshop will focus on these decision-making challenges and approaches to address them. It will also present advances in the new field of telemedicine and its role in improving the affordability of treatments and the efficiency of various components of healthcare systems.