Digital twin frameworks for diabetes: toward predictive, personalised, and precision-guided management

Ruqaiyyah Siddiqui; Naveed Ahmed Khan

doi:10.1007/s40200-026-01906-7

Digital twin frameworks for diabetes: toward predictive, personalised, and precision-guided management

Ruqaiyyah Siddiqui
, Naveed Ahmed Khan^*

^*Corresponding author for this work

Research output: Contribution to journal › Letter › peer-review

Original language	English
Article number	65
Journal	Journal of Diabetes and Metabolic Disorders
Volume	25
Issue number	1
Early online date	17 Feb 2026
DOIs	https://doi.org/10.1007/s40200-026-01906-7
Publication status	E-pub ahead of print - 17 Feb 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Internal Medicine
Endocrinology, Diabetes and Metabolism

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10.1007/s40200-026-01906-7

Cite this

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title = "Digital twin frameworks for diabetes: toward predictive, personalised, and precision-guided management",

author = "Ruqaiyyah Siddiqui and Khan, \{Naveed Ahmed\}",

year = "2026",

month = feb,

day = "17",

doi = "10.1007/s40200-026-01906-7",

language = "English",

volume = "25",

journal = "Journal of Diabetes and Metabolic Disorders",

issn = "2251-6581",

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}

TY - JOUR

T1 - Digital twin frameworks for diabetes

T2 - toward predictive, personalised, and precision-guided management

AU - Siddiqui, Ruqaiyyah

AU - Khan, Naveed Ahmed

PY - 2026/2/17

Y1 - 2026/2/17

UR - https://www.scopus.com/pages/publications/105030392167

U2 - 10.1007/s40200-026-01906-7

DO - 10.1007/s40200-026-01906-7

M3 - Letter

AN - SCOPUS:105030392167

SN - 2251-6581

VL - 25

JO - Journal of Diabetes and Metabolic Disorders

JF - Journal of Diabetes and Metabolic Disorders

IS - 1

M1 - 65

ER -

Digital twin frameworks for diabetes: toward predictive, personalised, and precision-guided management

UN SDGs

ASJC Scopus subject areas

Access to Document

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Cite this