Artificial intelligence shaping the future of adipose-derived therapies in regenerative medicine

This letter comments on the recent review by Gandolfi et al. on adipose tissue-derived therapies, commending their comprehensive overview while expanding the discussion to emphasize the transformative role of artificial intelligence (AI). We highlight how AI integrates multi-omics datasets to reveal molecular networks governing adipogenesis, enables automated image analysis for accurate assessment of adipocyte differentiation, and supports donor-specific potency evaluation. Beyond technical applications, AI offers tools for predictive modeling, patient stratification, and regulatory harmonization, thereby addressing current barriers to reproducibility and international standardization. By integrating biological, technological, and regulatory perspectives, we argue that AI will be a critical driver shaping the future of adipose-derived therapies in regenerative medicine.

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Publication Details

Journal
Discover Artificial Intelligence
Published
2026-03-09
DOI
https://doi.org/10.1007/s44163-026-01022-8
Primary Topic
Pluripotent Stem Cells Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence shaping the future of adipose-derived therapies in regenerative medicine

Ali M Mojallal, Alexandre G. Lellouch, H. Oubari, David M. Smadja
Discover Artificial Intelligence
Pluripotent Stem Cells Research
article

Artificial intelligence shaping the future of adipose-derived therapies in regenerative medicine

Ali M Mojallal, Alexandre G. Lellouch, H. Oubari, David M. Smadja
article en

Abstract

This letter comments on the recent review by Gandolfi et al. on adipose tissue-derived therapies, commending their comprehensive overview while expanding the discussion to emphasize the transformative role of artificial intelligence (AI). We highlight how AI integrates multi-omics datasets to reveal molecular networks governing adipogenesis, enables automated image analysis for accurate assessment of adipocyte differentiation, and supports donor-specific potency evaluation. Beyond technical applications, AI offers tools for predictive modeling, patient stratification, and regulatory harmonization, thereby addressing current barriers to reproducibility and international standardization. By integrating biological, technological, and regulatory perspectives, we argue that AI will be a critical driver shaping the future of adipose-derived therapies in regenerative medicine.

Discover Artificial IntelligenceVol. 6(1)
Cedars-Sinai Medical Center (US), Harvard University (US), Inserm (FR), Université Paris Cité (FR), Massachusetts General Hospital (US), Hôpital de la Croix-Rousse (FR), Assistance Publique – Hôpitaux de Paris (FR), Hospices Civils de Lyon (FR), Hôpital Européen Georges-Pompidou (FR), Paris Cardiovascular Research Center (FR)
Zero hunger
Openalex Percentile: Top 29%
Pluripotent Stem Cells Research
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Artificial intelligence shaping the future of adipose-derived therapies in regenerative medicine — Ali M Mojallal, Alexandre G. Lellouch, et al. · Discover Artificial Intelligence (2026) | TGRS Research Map | TGRS