Press Releases
December 14, 2022
Accelerating heart failure research
An NIH-supported research partnership aims to transform heart failure research to bring personalized therapies to patients.
September 29, 2022
FNIH AMP® HF LAUNCH ANNOUNCEMENT
The AMP® HF Program has been officially announced by the Foundation for the National Institutes of Health (FNIH).
The Foundation for the National Institutes of Health (FNIH) and the National Heart Lung and Blood Institute (NHLBI) at the National Institutes of Health (NIH) are launching a new partnership to investigate the syndrome of heart failure with preserved ejection fraction (HFpEF). Developing precision treatment strategies for HFpEF is more critical than ever, as the world’s population continues to live longer, resulting in an increase in HFpEF cases. Utilizing cutting edge technologies, including digital measurements and artificial intelligence analytic methods, the Accelerating Medicines Partnership® Heart Failure (AMP® HF) Program is designed to find novel proteins or genes that could mitigate this disease when altered by therapeutics.
News
Autumn 2023
HeartShare Participant Newsletter
HeartShare Study or are already a participant, our hope is that the HeartShare Newsletter
will provide you with valuable information about the heart failure medical condition and the
HeartShare Study. The HeartShare Data Translation Center at Northwestern University
oversees the administration and coordination of all aspects of the HeartShare Study. On
behalf of our team here at Northwestern and all the HeartShare investigators across the
United States, I would like to express my heartfelt gratitude to each of our future and current
study participants for their selfless contributions to the HeartShare Study. Advances in
medical care for all medical conditions, including heart failure, are due to individuals like
yourselves who generously give their time and energy to helping scientists like us discover
new treatments to promote health and reduce suffering.
Principal Investigator
HeartShare Data Translation Center
Northwestern University
January 31, 2024
Applications open for 2024-25 HeartShare Research Skills Program
The HeartShare Research Skills Program is a 1-year, full-time research fellowship intended for post-doctoral trainees interested in gaining clinical research skills in data science. The program includes an intensive 3-month bootcamp led by the Northwestern Computer Science Department in which trainees will receive hands-on training in data management, programming, and application of machine learning and artificial intelligence approaches to clinical research in data science. The remaining 9 months will be dedicated to completing a mentored research project related to heart failure with preserved ejection fraction, using the approaches they learned in the data science bootcamp. Fellows will be paired with one clinical mentor and one data science mentor, and will be expected to attend monthly virtual work-in-progress and career development meetings, as well as HeartShare committee meetings relevant to their proposed research project. Fellows will have access to electronic health record data compiled for HeartShare to use for their research project, with an overall goal of being immersed in the HeartShare research environment.
Application Closed.
October 24, 2023
HeartShare Awarded Funding for X01 Proposal
September 15, 2023
HeartShare Research Skills Trainees
The HeartShare Research Skills Committee extends our congratulations and welcome to our inaugural group of trainees for the 2023-2024 academic year:
| Name | Institution | Position |
| Laura P. Cohen, MD, MPP | Massachusetts General Hospital | Instructor in Medicine, Physician Investigator |
| Amogh Karnik, MD, MSc | Northwestern University | Cardiovascular Disease Fellow |
| Erick Romero, MD, MAS | University of California, Davis | Postdoctoral Fellow in the Division of Cardiovascular Medicine |
August 22, 2022
HeartShare Research Skills Trainees
The HeartShare Research Skills Committee extends our congratulations and welcome to our inaugural group of trainees for the 2022-2023 academic year:
| Name | Institution | Position |
| Ahmed Fayyaz, MD | Mayo Clinic | Research Associate |
| Hanna Gaggin, MD, MPH | Massachusetts General Hospital | Clinical investigator, educator and cardiologist |
| Laura Cohen | Massachusetts General Hospital | |
| Adrienne Kline, MD, PhD | Northwestern University | Postdoctoral Scholar |
| Amogh Karnik | Northwestern University | |
| Praneet Mylavarapu, MD | Northwestern University / UCSD | Internal Medicine Resident University of California – San Diego / Student in Northwestern Cardiovascular AI Fellowship (MSAI) Program |
| Erick Romero | University of California, Davis | |
| Oday Salman, MD | University of Pennsylvania | Postdoctoral Research Fellow |
The HeartShare Research Skills Program is a 1-year, full-time research fellowship intended for post-doctoral trainees interested in gaining clinical research skills in data science. The program includes an intensive 3-month bootcamp led by the Northwestern Computer Science Department in which trainees will receive hands-on training in data management, programming, and application of machine learning and artificial intelligence approaches to clinical research in data science. The remaining 9 months will be dedicated to completing a mentored research project related to heart failure with preserved ejection fraction, using the approaches they learned in the data science bootcamp. Fellows will be paired with one clinical mentor and one data science mentor, and will be expected to attend monthly virtual work-in-progress and career development meetings, as well as HeartShare committee meetings relevant to their proposed research project. Fellows will have access to electronic health record data compiled for HeartShare to use for their research project, with an overall goal of being immersed in the HeartShare research environment.
August 22, 2022
AMP HF Inaugural Meeting
The inaugural meeting for the Accelerating Medicines Partnership® Heart Failure (AMP® HF) Program will be held on September 29, 2022 at the Gaylord Hotel and Convention Center in National Harbor, Maryland. Please visit the launch page for more details.
October 6, 2021
Northwestern receives $18.1M to study the most common type of heart failure
Northwestern University Feinberg School of Medicine has been awarded two grants totaling $18.1 million to study the most common type of heart failure: heart failure with preserved ejection fraction (HFpEF), also referred to as diastolic heart failure.
Research
September 29, 2022
Accelerating therapeutic discoveries for heart failure: a new public–private partnership
The Accelerating Medicines Partnership in Heart Failure is designed to deliver tools and knowledge that enable the development of new approaches to treat heart failure with preserved ejection fraction, which is considered the largest unmet need in cardiovascular medicine.
September 20, 2022
Nature Reviews Drug Discovery - AMP HF
We are excited to share that Nature Reviews Drug Discovery has published a paper to announce the AMP® HF program. This paper was jointly authored by the overall PI of the HeartShare DTC, Sanjiv Shah; HeartShare Steering Committee co-chairs, Javed Butler and Svati Shah; the HeartShare NHBLI lead, Vandana Sachdev; and the Director of Metabolic Disorders at the FNIH, Tania Kamphaus.
August 21, 2022
The Future of HFpEF Research
Drs. Sanjiv Shah (overall for PI HeartShare DTC) and Frank Heinzel have outlined the future of heart failure with preserved ejection fraction (HFpEF) in a recently published article in Herz, titled “The future of heart failure with preserved ejection fraction : Deep phenotyping for targeted therapeutics.” This article explores many topics the AMP Heart Failure program seeks to address.
Here we provide a framework for understanding the phenotype-based approach to HFpEF by reviewing (1) the historical context of HFpEF; (2) the current HFpEF paradigm of comorbidity-induced inflammation and endothelial dysfunction; (3) various methods of sub-phenotyping HFpEF; (4) comorbidity-based classification and treatment of HFpEF; (5) machine learning approaches to classifying HFpEF; (6) examples from HFpEF clinical trials; and (7) the future of phenomapping (machine learning and other advanced analytics) for the classification of HFpEF.
Heinzel FR, Shah SJ. The future of heart failure with preserved ejection fraction : Deep phenotyping for targeted therapeutics. Herz. 2022 Aug;47(4):308-323. doi: 10.1007/s00059-022-05124-8. Epub 2022 Jun 29. PMID: 35767073; PMCID: PMC9244058.