Digital twin concept: Healthcare, education, research.

Biobanking Databases Digital pathology Digital twins

Journal

Journal of pathology informatics
ISSN: 2229-5089
Titre abrégé: J Pathol Inform
Pays: United States
ID NLM: 101528849

Informations de publication

Date de publication:
2023
Historique:
received: 01 03 2023
revised: 11 04 2023
accepted: 12 04 2023
medline: 12 5 2023
pubmed: 12 5 2023
entrez: 11 5 2023
Statut: epublish

Résumé

Introducing the concept of digital twins in healthcare, medical education, and research is a complex multistage challenge requiring participation of multidisciplinary teams. In pursuing this goal, we have created a validated database of scans of colorectal tumor slides associated with relevant clinical and histological information. This database is also linked to the blood bank, which opens a wide range of opportunities for further research. Herein, we present our experience within the scope of the digital twins initiative.

Identifiants

pubmed: 37168801
doi: 10.1016/j.jpi.2023.100313
pii: S2153-3539(23)00127-X
pmc: PMC10165159
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100313

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Maria Peshkova (M)

World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov University, 119991 Moscow, Russia.
Institute for Regenerative Medicine, Sechenov University, 119991 Moscow, Russia.

Valentina Yumasheva (V)

Sechenov University, 119991 Moscow, Russia.

Ekaterina Rudenko (E)

Institute for Clinical Morphology and Digital Pathology, Sechenov University, 119991 Moscow, Russia.

Natalia Kretova (N)

World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov University, 119991 Moscow, Russia.
Institute for Clinical Morphology and Digital Pathology, Sechenov University, 119991 Moscow, Russia.

Peter Timashev (P)

World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov University, 119991 Moscow, Russia.
Institute for Regenerative Medicine, Sechenov University, 119991 Moscow, Russia.
Chemistry Department, Lomonosov Moscow State University, 119991 Moscow, Russia.

Tatiana Demura (T)

Institute for Clinical Morphology and Digital Pathology, Sechenov University, 119991 Moscow, Russia.

Classifications MeSH