Science and technology have created tremendous opportunities to improve and extend our lives. At the Hasso Plattner Institute for Digital Health at Mount Sinai, we use the tools of data science, biomedical and digital engineering, and medical expertise to advance health care. The institute is a collaboration between the Hasso Plattner Institute for Digital Engineering in Potsdam, Germany, and the Mount Sinai Health System. Our goal is to develop innovations to revolutionize how people think about their personal health and health systems and have a tangible impact on patients’ lives.
The institute strives to develop research projects and artificial intelligence technologies to improve our ability to diagnose and treat patients. The Hasso Plattner Institute for Digital Health at Mount Sinai receives generous support from the Hasso Plattner Foundation. Below, we outline our research projects and machine learning efforts.
At the institute, we perform research that combines biomedical and data sciences to develop digital health solutions for both patients and researchers. Our research projects include:
- Digital Health Cohort: Using wearable, mobile, and sensor technologies, this project helps patients optimize control of complex, chronic diseases such as diabetes and cardiovascular disease.
- AI Ready Mount Sinai Platform - Key Research Initiative: This multi-modal health data platform links patient data generated from different clinical departments to mitigate siloing and accelerate the advancement of health-care-driven, artificial intelligence (AI)-based solutions.
Machine Learning Efforts
Machine learning is a type of artificial intelligence research that enables a computer to use learning algorithms to draw inferences from data and “learn” new skills. These projects are intended to improve our provision of health care diagnostics and treatments. Projects include:
- FlexIBle EHR Retrieval (FIBER): Using clinical data from a series of electronic libraries, this project streamlines the clinical modeling process.
- Natural-Language Processing on Clinical Notes for Phenotyping Depression: This software application provides insights into patients’ underlying biological or neurological mechanisms that can inform and improve treatment decisions.
- Prediction of Hypertension Onset by Leveraging EHR Data with Machine Learning: This system uses several machine learning approaches to help predict whether a patient will develop hypertension, facilitating early intervention.
- Process Mining in Personalized Medicine: This technology analyzes real-world business process management problems to improve data flow and patient outcomes.
Hasso Plattner Institute for Digital Engineering
The Hasso Plattner Institute (HPI) in Potsdam is Germany's university center of excellence for digital engineering, advancing research and education in IT systems engineering, data engineering, cybersecurity, entrepreneurship, and digital health. Its bachelor‘s and master’s degree programs, established jointly by HPI and the University of Potsdam, offer innovative engineering- and application-oriented study programs. With more than 650 students, HPI consistently earns a top place in the CHE University Ranking. The HPI School of Design Thinking is Europe’s first innovation school for university students. It is based on the Stanford model of the d.school and offers 240 places annually for supplementary study. HPI has about 20 professors and more than 50 guest professors and lecturers. In addition, HPI conducts IT research. PhD candidates carry out research at the HPI Research School in Potsdam and its branches in Cape Town, South Africa; Haifa, Israel; Irvine, California; and Nanjing, China. The institute focuses its teaching and research on the foundations and applications of large, complex, and networked IT systems as well as the development and research of user-oriented innovations.
Meet Our Team
The Hasso Plattner Institute at Mount Sinai is a research and education hub dedicated to bringing together faculty, research staff, and students from the Icahn School of Medicine at Mount Sinai and the Hasso Plattner Institute for Digital Engineering.
Erwin P. Bottinger, MD, Co-Director
Erwin Bottinger is the Co-Director of the Hasso Plattner Institute for Digital Health at Mount Sinai and Head of the Digital Health Center at the Hasso Plattner Institute in Potsdam, Germany. He holds dual academic appointments as Professor of Medicine, and Systems Pharmacology and Therapeutics, at the Icahn School of Medicine at Mount Sinai, and chaired Professor for Digital Health - Personalized Medicine at the joint Digital Engineering Faculty of the HPI and University Potsdam. From November 2015 to July 2017 Dr. Bottinger was the CEO of the Berlin Institute of Health, where he played a key role in shaping its strategy for “Personalized Medicine - Advanced Therapies.” From 2007 to 2015, he served as Founding Director of the Charles Bronfman Institute for Personalized Medicine at the Icahn School of Medicine and principal architect of the Institute’s BioMe™ Biobank. Dr. Bottinger is a pioneer in groundbreaking implementations of personalized medicine and digital health in clinical practice.
Riccardo Miotto, PhD, Director of Data Science, Hasso Plattner Institute at Mount Sinai, and Assistant Professor of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai
Girish N Nadkarni, MD, Clinical Director Hasso Plattner Institute at Mount Sinai / Assistant Professor of Medicine, Nephrology, Icahn School of Medicine at Mount Sinai
Benjamin Glicksberg, PhD, Assistant Professor of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai
Christoph Lippert, PhD, Chair of Digital Health and Machine Learning, Hasso Plattner Institute
Claudia Schurmann, PhD, Senior Research Scientist / Managing Director of Genomics Core, Hasso Plattner Institute