Digital twin for ocular hemodynamics: Combining physiology-based modeling and machine learning for personalized glaucoma care.
Saved in:
| Title: | Digital twin for ocular hemodynamics: Combining physiology-based modeling and machine learning for personalized glaucoma care. |
|---|---|
| Authors: | Guidoboni G; Maine College of Engineering and Computing, University of Maine, ME, USA.; Graduate School of Biomedical Science and Engineering, University of Maine, ME, USA., Keller JM; Department of Electrical Engineering and Computer Science, University of Missouri, MO, USA., Wikle CK; Department of Statistics, University of Missouri, MO, USA., Rai R; Graduate School of Biomedical Science and Engineering, University of Maine, ME, USA., Joyce M; Department of Electrical Engineering and Computer Science, University of Missouri, MO, USA., Ibrahim O; Department of Electrical Engineering, Tikrit University, Tikrit, Iraq., Zou D; Department of Electrical Engineering and Computer Science, University of Missouri, MO, USA., Chong RS; Singapore Eye Research Institute, Singapore, Singapore.; Duke-NUS Graduate Medical School, Singapore, Singapore., Cheng CY; Singapore Eye Research Institute, Singapore, Singapore.; National University of Singapore, Singapore, Singapore.; Center for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore., Siesky BA; Department of Ophthalmology, Icahn School of Medicine at Mount Sinai Hospital, NY, USA., Vercellin ACV; Department of Ophthalmology, Icahn School of Medicine at Mount Sinai Hospital, NY, USA., Wood K; Department of Ophthalmology, Icahn School of Medicine at Mount Sinai Hospital, NY, USA., Harris A; Department of Electrical Engineering and Computer Science, University of Missouri, MO, USA.; Department of Ophthalmology, Icahn School of Medicine at Mount Sinai Hospital, NY, USA. |
| Source: | Mathematical biosciences and engineering : MBE [Math Biosci Eng] 2026 Jan 28; Vol. 23 (3), pp. 678-701. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: AIMS Press Country of Publication: United States NLM ID: 101197794 Publication Model: Print Cited Medium: Internet ISSN: 1551-0018 (Electronic) Linking ISSN: 15471063 NLM ISO Abbreviation: Math Biosci Eng Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1551-0018 |
|---|---|
| DOI: | 10.3934/mbe.2026026 |
