Stem cell therapy for heart failure in the clinics: new perspectives in the era of precision medicine and artificial intelligence
Stem/progenitor cells have been widely evaluated as a promising therapeutic option for heart failure (HF). Numerous clinical trials with stem/progenitor cell-based therapy (SCT) for HF have demonstrated encouraging results, but not without limitations or discrepancies. Recent technological advanceme...
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Frontiers Media S.A.
2024-01-01
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Series: | Frontiers in Physiology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2023.1344885/full |
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author | Mohammed A. Chowdhury Mohammed A. Chowdhury Mohammed A. Chowdhury Jing J. Zhang Rodrigue Rizk William C. W. Chen |
author_facet | Mohammed A. Chowdhury Mohammed A. Chowdhury Mohammed A. Chowdhury Jing J. Zhang Rodrigue Rizk William C. W. Chen |
author_sort | Mohammed A. Chowdhury |
collection | DOAJ |
description | Stem/progenitor cells have been widely evaluated as a promising therapeutic option for heart failure (HF). Numerous clinical trials with stem/progenitor cell-based therapy (SCT) for HF have demonstrated encouraging results, but not without limitations or discrepancies. Recent technological advancements in multiomics, bioinformatics, precision medicine, artificial intelligence (AI), and machine learning (ML) provide new approaches and insights for stem cell research and therapeutic development. Integration of these new technologies into stem/progenitor cell therapy for HF may help address: 1) the technical challenges to obtain reliable and high-quality therapeutic precursor cells, 2) the discrepancies between preclinical and clinical studies, and 3) the personalized selection of optimal therapeutic cell types/populations for individual patients in the context of precision medicine. This review summarizes the current status of SCT for HF in clinics and provides new perspectives on the development of computation-aided SCT in the era of precision medicine and AI/ML. |
first_indexed | 2024-03-08T15:53:10Z |
format | Article |
id | doaj.art-ecb888ec863a4872a8efd3f69ca38c82 |
institution | Directory Open Access Journal |
issn | 1664-042X |
language | English |
last_indexed | 2024-03-08T15:53:10Z |
publishDate | 2024-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Physiology |
spelling | doaj.art-ecb888ec863a4872a8efd3f69ca38c822024-01-09T04:17:25ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2024-01-011410.3389/fphys.2023.13448851344885Stem cell therapy for heart failure in the clinics: new perspectives in the era of precision medicine and artificial intelligenceMohammed A. Chowdhury0Mohammed A. Chowdhury1Mohammed A. Chowdhury2Jing J. Zhang3Rodrigue Rizk4William C. W. Chen5Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, United StatesDepartment of Public Health and Health Sciences, Health Sciences Ph.D. Program, School of Health Sciences, University of South Dakota, Vermillion, SD, United StatesDepartment of Cardiology, North Central Heart, Avera Heart Hospital, Sioux Falls, SD, United StatesDivision of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, United StatesDepartment of Computer Science, University of South Dakota, Vermillion, SD, United StatesDivision of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, United StatesStem/progenitor cells have been widely evaluated as a promising therapeutic option for heart failure (HF). Numerous clinical trials with stem/progenitor cell-based therapy (SCT) for HF have demonstrated encouraging results, but not without limitations or discrepancies. Recent technological advancements in multiomics, bioinformatics, precision medicine, artificial intelligence (AI), and machine learning (ML) provide new approaches and insights for stem cell research and therapeutic development. Integration of these new technologies into stem/progenitor cell therapy for HF may help address: 1) the technical challenges to obtain reliable and high-quality therapeutic precursor cells, 2) the discrepancies between preclinical and clinical studies, and 3) the personalized selection of optimal therapeutic cell types/populations for individual patients in the context of precision medicine. This review summarizes the current status of SCT for HF in clinics and provides new perspectives on the development of computation-aided SCT in the era of precision medicine and AI/ML.https://www.frontiersin.org/articles/10.3389/fphys.2023.1344885/fullstem cellsheart failurecell therapyprecision medicineartificial intelligencemachine learning |
spellingShingle | Mohammed A. Chowdhury Mohammed A. Chowdhury Mohammed A. Chowdhury Jing J. Zhang Rodrigue Rizk William C. W. Chen Stem cell therapy for heart failure in the clinics: new perspectives in the era of precision medicine and artificial intelligence Frontiers in Physiology stem cells heart failure cell therapy precision medicine artificial intelligence machine learning |
title | Stem cell therapy for heart failure in the clinics: new perspectives in the era of precision medicine and artificial intelligence |
title_full | Stem cell therapy for heart failure in the clinics: new perspectives in the era of precision medicine and artificial intelligence |
title_fullStr | Stem cell therapy for heart failure in the clinics: new perspectives in the era of precision medicine and artificial intelligence |
title_full_unstemmed | Stem cell therapy for heart failure in the clinics: new perspectives in the era of precision medicine and artificial intelligence |
title_short | Stem cell therapy for heart failure in the clinics: new perspectives in the era of precision medicine and artificial intelligence |
title_sort | stem cell therapy for heart failure in the clinics new perspectives in the era of precision medicine and artificial intelligence |
topic | stem cells heart failure cell therapy precision medicine artificial intelligence machine learning |
url | https://www.frontiersin.org/articles/10.3389/fphys.2023.1344885/full |
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