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
Adrienne Kline, MD, PhD
Northwestern University
Postdoctoral Scholar
Praneet Mylavarapu, MD
Northwestern University / UCSD
Internal Medicine Resident University of California – San Diego / Student in Northwestern Cardiovascular AI Fellowship (MSAI) Program
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.
Click here to learn more about the HeartShare Research Skills Program, more information about the trainees and to find information about applying to be part of the program next year.
https://amphf.org/wp-content/uploads/2022/08/HeartShare_HeaderLogo-1.png00HeartSharehttps://amphf.org/wp-content/uploads/2022/08/HeartShare_HeaderLogo-1.pngHeartShare2022-08-22 14:50:132022-09-26 22:56:19HeartShare Research Skills Trainees
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.
https://amphf.org/wp-content/uploads/2022/08/HeartShare_HeaderLogo-1.png00HeartSharehttps://amphf.org/wp-content/uploads/2022/08/HeartShare_HeaderLogo-1.pngHeartShare2022-08-21 00:43:122022-09-27 23:01:44The Future of HFpEF Research
Accelerating Medicines Partnership (AMP) Heart Failure
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:
University of California – San Diego /
Student in Northwestern Cardiovascular AI Fellowship (MSAI) 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.
Click here to learn more about the HeartShare Research Skills Program, more information about the trainees and to find information about applying to be part of the program next year.
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.
The full text of the article can be found here: https://link.springer.com/article/10.1007/s00059-022-05124-8