HPI∙MS | Hasso Plattner Institute for Digital Health at Mount Sinai

Shaping the future of digital health

We are a global research institute rapidly developing digital health solutions that empower patients and healthcare providers.

A collaboration between

About Us

Turning the promise of digital health into a reality

Science has helped humanity to improve and extend life. Today, technological advances have allowed us to understand and analyze information in ways never before possible.

The Hasso Plattner Institute for Digital Health at Mount Sinai (HPI･MS) propels these possibilities through an extraordinary international academic collaboration between the Hasso Plattner Institute for Digital Engineering in Potsdam, Germany, and the Mount Sinai Health System in New York City, USA.

Why HPI•MS

A new era of digital health

Combining an innovative health care system with world class engineering expertise to offer unprecedented opportunities for improved global well-being and medical discovery.

Expanding possibilities in medicine

Advancements in data science and engineering are rapidly translated into medical discovery in partnership with clinical experts.

Improving access to critical data

Data science powered by 7.6 million clinical records is connected to diverse genomic sequencing, comprehensive medical imaging, and biometric cardiology data, alongside innovative clinical research.

Optimizing human health and well-being

By linking comprehensive patient data from hospital visits, genetic testing, and remote monitoring devices, patients and their physicians will be able to monitor, diagnose and inform personalized treatment plans.

Advancing the state of the art

Leveraging the latest technologies, creating novel methodologies, and bringing together interdisciplinary expertise, HPI⋅MS is leading the digital health revolution.

Research

Leading the digital health revolution

AIR.MS - AI Ready Mount Sinai

Leveraging expertise in computer science and engineering, we've built a platform where researchers can access the vast datasets held at Mount Sinai for data science and machine learning endeavors.

Digital Discovery Program

A comprehensive digital health research program of patient-centric health studies utilizing wearable, mobile and sensor technologies serves as a scalable platform for digital trials in order to better understand complex diseases and optimize health and wellbeing.

Publications

World class research with a global impact

October, 2020

Deep Learning for Biomedical Applications

Journal

Machine Learning in Cardiovascular Medicine, Elsevier

HPI·MS Authors

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Riccardo Miotto

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Jessica De Freitas

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Kipp Johnson

3 HPI•MS authors

Full list of authors

Jessica De Freitas, Benjamin S. Glicksberg, Kipp W. Johnson, Riccardo Miotto

Deep Learning

Book Chapter

Machine Learning in Cardiovascular Medicine, Elsevier

Open Publication

September, 2020

Trans-ethnic and ancenstry-specific blood-cell genetics in 746,667 individuals from 5 global populations

Journal

bioRxiv

HPI·MS Authors

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Girish Nadkarni

1 HPI•MS authors

Full list of authors

Ming-Huei Chen, Laura M Raffield, Abdou Mousas, Saori Sakaue, Jennifer E Huffman, Tao Jiang, Parsa Akbari, Dragana Vuckovic, Erik L Bao, Arden Moscati, Xue Zhong, Regina Manansala, Véronique Laplante, Minhui Chen, Ken Sin Lo, Huijun Qian, Caleb A Lareau, Mélissa Beaudoin, Masato Akiyama, Traci M Bartz, Yoav Ben-Shlomo, Andrew Beswick, Jette Bork-Jensen, Erwin P Bottinger, Jennifer A Brody, Frank JA van Rooij, Kumaraswamynaidu Chitrala, Kelly Cho, Hélène Choquet, Adolfo Correa, John Danesh, Emanuele Di Angelantonio, Niki Dimou, Jingzhong Ding, Paul Elliott, Tõnu Esko, Michele K Evans, James S Floyd, Linda Broer, Niels Grarup, Michael H Guo, Andreas Greinacher, Jeff Haessler, Torben Hansen, Joanna MM Howson, Wei Huang, Eric Jorgenson, Tim Kacprowski, Mika Kähönen, Yoichiro Kamatani, Masahiro Kanai, Savita Karthikeyan, Fotis Koskeridis, Leslie A Lange, Terho Lehtimäki, Markus M Lerch, Allan Linneberg, Yongmei Liu, Leo-Pekka Lyytikäinen, Ani Manichaikul, Koichi Matsuda, Karen L Mohlke, Nina Mononen, Yoshinori Murakami, Girish N Nadkarni, Matthias Nauck, Kjell Nikus, Willem H Ouwehand, Nathan Pankratz, Oluf Pedersen, Michael Preuss, Bruce M Psaty, Olli T Raitakari, David J Roberts, Stephen S Rich, Benjamin AT Rodriguez, Jonathan D Rosen, Jerome I Rotter, Petra Schubert, Cassandra N Spracklen, Praveen Surendran, Hua Tang, Jean-Claude Tardif, Mohsen Ghanbari, Uwe Völker, Henry Völzke, Nicholas A Watkins, Alan B Zonderman, Peter WF Wilson, Yun Li, Adam S Butterworth, Jean-François Gauchat, Charleston WK Chiang, Bingshan Li, Ruth JF Loos, William J Astle, Evangelos Evangelou, Vijay G Sankaran, Yukinori Okada, Nicole Soranzo, Andrew D Johnson, Alexander P Reiner, Paul L Auer, Guillaume Lettre

Journal

bioRxiv

Open Publication

September, 2020

Event Log Generation in a Health System: A Case Study

Journal

18th International Conference on Business Process Management

HPI·MS Authors

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Erwin Bottinger

1 HPI•MS authors

Full list of authors

Simon Remy, Luis Pufahl, Jan Philipp Sachs, Erwin Bottinger, Mathias Weske

Conference

18th International Conference on Business Process Management

Open Publication

August, 2020

Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection

Journal

Journal of the American College of Cardiology

HPI·MS Authors

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Benjamin Glicksberg

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Girish Nadkarni

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Kipp Johnson

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Adam Russak

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Ishan Paranjpe

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Sulaiman Somani

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Akhil Vaid

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Jessica De Freitas

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Zahi Fayad

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Alex Charney

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Jagat Narula

11 HPI•MS authors

Full list of authors

Anuradha Lala, Kipp W Johnson, James L Januzzi, Adam J Russak, Ishan Paranjpe, Felix Richter, Shan Zhao, Sulaiman Somani, Tielman Van Vleck, Akhil Vaid, Fayzan Chaudhry, Jessica K De Freitas, Zahi A Fayad, Sean P Pinney, Matthew Levin, Alexander Charney, Emilia Bagiella, Jagat Narula, Benjamin S Glicksberg, Girish Nadkarni, Donna M Mancini, Valentin Fuster, Mount Sinai Covid Informatics Center

COVID19CardiologyElectronic Health Records

Journal

Journal of the American College of Cardiology

Open Publication

Press

HPI·MS in the news

Healthcare IT News

ICD-10 codes don't accurately capture COVID-19 symptoms, study shows

New York Magazine

Is Oura’s $299 ‘Smart Ring’ Just a Fancy Thermometer?

Global Health News Wire

Mount Sinai receives Microsoft ai for health grant to support center dedicated to data science discovery for COVID-19

Our Last Event

HPI - Mount Sinai Digital Health Forum

2019 | Potsdam, Germany

We hosted a successful two-day conference on November 21 and November 22, 2019 at the Hasso Plattner Institute in Potsdam. The Forum introduced visions and strategies for driving the digital transformation of health care.

With more than 400 attendees and livestream viewers from around the world, the conference facilitated transatlantic co-innovation among international experts in medical and biological sciences, engineering, computer science, and research, from world-leading organizations.

Shaping the future of digital health

Turning the promise of digital health into a reality

A new era of digital health

Leading the digital health revolution

AIR.MS - AI Ready Mount Sinai

Digital Discovery Program

World class research with a global impact

Deep Learning for Biomedical Applications

Trans-ethnic and ancenstry-specific blood-cell genetics in 746,667 individuals from 5 global populations

Event Log Generation in a Health System: A Case Study

Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection

HPI·MS in the news

Mount Sinai receives Microsoft ai for health grant to support center dedicated to data science discovery for COVID-19

Software provides non-invasive hemoglobin measurement with a smart phone

Mount Sinai to open new Institute for Digital Health

ICD-10 codes don't accurately capture COVID-19 symptoms, study shows

Is Oura’s $299 ‘Smart Ring’ Just a Fancy Thermometer?

Mount Sinai receives Microsoft ai for health grant to support center dedicated to data science discovery for COVID-19

Software provides non-invasive hemoglobin measurement with a smart phone

Mount Sinai to open new Institute for Digital Health

ICD-10 codes don't accurately capture COVID-19 symptoms, study shows

Is Oura’s $299 ‘Smart Ring’ Just a Fancy Thermometer?

Mount Sinai receives Microsoft ai for health grant to support center dedicated to data science discovery for COVID-19

Software provides non-invasive hemoglobin measurement with a smart phone

Mount Sinai to open new Institute for Digital Health

HPI - Mount Sinai Digital Health Forum