The Present and Future of Aging-on-A-Chip

Xuan Mei , Xingchen Liu , Zaiyi Yang , Nigel Foo , Peter Wang , Ming Shao , Dean Ho , Yu Shrike Zhang

Engineering ›› : 202603005

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Engineering ›› :202603005 DOI: 10.1016/j.eng.2026.03.005
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The Present and Future of Aging-on-A-Chip
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Xuan Mei, Xingchen Liu, Zaiyi Yang, Nigel Foo, Peter Wang, Ming Shao, Dean Ho, Yu Shrike Zhang. The Present and Future of Aging-on-A-Chip. Engineering 202603005 DOI:10.1016/j.eng.2026.03.005

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References

[1]

López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. Hallmarks of aging: an expanding universe. Cell 2023; 186(2):243-78.

[2]

Ribas J, Zhang YS, Pitrez PR, Leijten J, Miscuglio M, Rouwkema J, et al. Biomechanical strain exacerbates inflammation on a progeria-on-a-chip model. Small 2017; 13(15):1603737.

[3]

Wu M, Fannin J, Rice KM, Wang B, Blough ER. Effect of aging on cellular mechanotransduction. Ageing Res Rev 2011; 10(1):1-15.

[4]

Zhang YS, Khademhosseini A. Advances in engineering hydrogels. Science 2017; 356(6337):eaaf3627.

[5]

Cohen AA, Ferrucci L, Fülöp T, Gravel D, Hao N, Kriete A, et al. A complex systems approach to aging biology. Nat Aging 2022; 2(7):580-91.

[6]

Ingber DE. Human organs-on-chips for disease modelling, drug development and personalized medicine. Nat Rev Genet 2022; 23(8):467-91.

[7]

Zhao Y, Rafatian N, Feric NT, Cox BJ, Aschar-Sobbi R, Wang EY, et al. A platform for generation of chamber-specific cardiac tissues and disease modeling. Cell 2019; 176(4):913.

[8]

Pitrez PR, Monteiro LM, Borgogno O, Nissan X, Mertens J, Ferreira L. Cellular reprogramming as a tool to model human aging in a dish. Nat Commun 2024; 15(1):1816.

[9]

National Academies of Sciences, Engineering, and Medicine; Division on Earth and Life Studies; Institute for Laboratory Animal Research; Rose Li and Associates, Inc. Microphysiological systems: bridging human and animal research:proceedings of a workshop—in brief. Washington, DC: The National Academies Press; 2021.

[10]

Ho D, Quake SR, McCabe ERB, Chng WJ, Chow EK, Ding X, et al. Enabling technologies for personalized and precision medicine. Trends Biotechnol 2020; 38(5):497-518.

[11]

Li X, Zhu H, Gu B, Yao C, Gu Y, Xu W, et al. Advancing intelligent organ-on-a-chip systems with comprehensive in situ bioanalysis. Adv Mater 2024; 36(18):e2305268.

[12]

Heckenbach I, Mkrtchyan GV, Ezra MB, Bakula D, Madsen JS, Nielsen MH, et al. Nuclear morphology is a deep learning biomarker of cellular senescence. Nat Aging 2022; 2(8):742-55.

[13]

Kim HH, Dixit VD. Metabolic regulation of immunological aging. Nat Aging 2025; 5(8):1425-40.

[14]

Qian S, Ugurlu D, Fairweather E, Toso LD, Deng Y, Strocchi M, et al. Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization. Nat Cardiovasc Res 2025; 4(5):624-36.

[15]

Criscione J, Rezaei Z, Hernandez Cantu CM, Murphy S, Shin SR, Kim DH. Heart-on-a-chip platforms and biosensor integration for disease modeling and phenotypic drug screening. Biosens Bioelectron 2023;220:114840.

[16]

Dai X, Zhou W, Gao T, Liu J, Lieber CM. Three-dimensional mapping and regulation of action potential propagation in nanoelectronics-innervated tissues. Nat Nanotechnol 2016; 11(9):776-82.

[17]

Blasiak A, Truong ATL, Wang P, Hooi L, Chye H, Tan SB, et al. IDentif. AI-omicron: harnessing an AI-derived and disease-agnostic platform to pinpoint combinatorial therapies for clinically actionable anti-SARS-CoV-2 intervention. ACS Nano 2022; 16(9):15141-54.

[18]

Vogt BJ, Wang P, Chavez M, Guo P, Chow EKH, Ho D, et al. Determining sex differences in aortic valve myofibroblast responses to drug combinations identified using a digital medicine platform. Sci Adv 2025; 11(23):eadu2695.

[19]

Lee DJW, Hodzic Kuerec A, Maier AB. Targeting ageing with rapamycin and its derivatives in humans: a systematic review. Lancet Healthy Longev 2024; 5(2):e152-62.

[20]

Blasiak A, Khong J, Kee T. CURATE. AI: optimizing personalized medicine with artificial intelligence. SLAS Technol 2020; 25(2):95-105.

[21]

Blasiak A, Truong ATL, Foo N, Tan LWJ, Kumar KS, Tan SB, et al. Personalized dose selection platform for patients with solid tumors in the PRECISE CURATE. AI feasibility trial. NPJ Precis Oncol 2025; 9(1):49.

[22]

Kee T, Weiyan C, Blasiak A, Wang P, Chong JK, Chen J, et al. Harnessing CURATE. AI as a digital therapeutics platform by identifying n-of-1 learning trajectory profiles. Adv Ther 2019; 2(9):1900023.

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