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Research we are loving this American Heart Month

Since 1921, heart disease has been the leading cause of death in the United States. With recent advancements such as 3D printing of cardiac patches and the use of machine learning and AI to maximize tests like the ECG, the future of the heart is looking brighter. We gathered some of the leading research into new digital technologies working to ameliorate heart disease.

Digital pathology/health and cardiovascular medicine

Peyster EG, et al. An automated computational image analysis pipeline for histological grading of cardiac allograft rejection. Eur Heart J. 2021 Jun 21;42(24):2356-2369. doi: 10.1093/eurheartj/ehab241. PMID: 33982079; PMCID: PMC8216729.

Vardas PE, et al. The year in cardiovascular medicine 2021: digital health and innovation. Eur Heart J. 2022 Jan 31;43(4):271-279. doi: 10.1093/eurheartj/ehab874. PMID: 34974610.

3D printing for heart repair

Brazhkina O, et al. Designing a 3D Printing Based Auxetic Cardiac Patch with hiPSC-CMs for Heart Repair. J Cardiovasc Dev Dis. 2021 Dec 3;8(12):172. doi: 10.3390/jcdd8120172. PMID: 34940527; PMCID: PMC8706296.

Wang DD, et al. 3D Printing, Computational Modeling, and Artificial Intelligence for Structural Heart Disease. JACC Cardiovasc Imaging. 2021 Jan;14(1):41-60. doi: 10.1016/j.jcmg.2019.12.022. Epub 2020 Aug 26. PMID: 32861647.

Predicting revascularization after MPS using ML algorithm

Arsanjani R, et al. Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population. J Nucl Cardiol. 2015 Oct;22(5):877-84. doi: 10.1007/s12350-014-0027-x. Epub 2014 Dec 6. PMID: 25480110; PMCID: PMC4859156.

Maximizing gold-standard cardiology tests with AI

Patel B, Makaryus AN. Artificial Intelligence Advances in the World of Cardiovascular Imaging. Healthcare (Basel). 2022;10(1):154. Published 2022 Jan 14. doi:10.3390/healthcare10010154

Seetharam K, et al. Artificial Intelligence in Nuclear Cardiology: Adding Value to Prognostication. Curr. Cardiovasc. Imaging Rep. 2019;12:14. doi: 10.1007/s12410-019-9490-8

Attia ZI, et al. Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram. Nat Med. 2019 Jan;25(1):70-74. doi: 10.1038/s41591-018-0240-2. Epub 2019 Jan 7. PMID: 30617318.

Instapath was founded in 2017 by the same engineers and scientists who developed the original prototypes. Our vision is to enable patients to immediately know their cancer diagnosis instead of waiting days or weeks for the results. Instapath builds microscopy platforms to improve patient care in the form of faster turnaround times and prevention of high risk and costly repeat biopsy procedures. Further, our goal is to provide users with a seamless, modernized digital pathology workflow with tools to complete all pathology evaluations needed to provide the most precise and efficient diagnoses for patients. To learn more about us, visit or email

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