Mathematical modeling for novel treatment approaches to open-angle glaucoma

Josh C. Gross, Alon Harris, Brent Siesky, Riccardo Sacco, Aaditya Shah, Giovanna Guidoboni

Research output: Contribution to journalReview article

Abstract

Introduction: Reduction of intraocular pressure, the only currently approved therapy for Open-angle glaucoma (OAG), has yet to fully arrest the disease process in many individuals, therefore it is critical to develop novel treatment approaches for OAG. Due to the multifactorial and complex nature of the disease, mathematical modeling may provide an effective tool to advance our understanding of glaucoma risk for a given individual. Areas covered: Herein we discuss the impactful role that mathematical modeling and Big Data hold for the future of OAG treatment. Previous work on biophysical modeling in OAG is considered along with exploring how the combination of statistical and biophysical modeling with demographic and clinical data improves individualized risk assessment allowing for earlier and more effective OAG management. Literature search methods included PubMed, Medline, and cross-matching of relevant article literature sources. Expert commentary: Mathematical modeling in OAG offers novel and promising improvements for OAG risk assessment. With further development mathematical modeling may allow for individualized risk assessments that will lead to more specific and earlier diagnostic and treatment interventions. Additionally, innovative drug development and treatment targets are conceivable through employment of biophysical modeling and tissue targeting.

Original languageEnglish (US)
Pages (from-to)443-455
Number of pages13
JournalExpert Review of Ophthalmology
Volume12
Issue number6
DOIs
StatePublished - Nov 2 2017

Fingerprint

Open Angle Glaucoma
Risk assessment
Tissue
Intraocular Pressure
PubMed
Glaucoma
Demography
Pharmaceutical Preparations

Keywords

  • aqueous humor
  • big data
  • glaucoma treatment
  • intraocular pressure
  • mathematical modeling
  • Open angle glaucoma
  • risk profile

ASJC Scopus subject areas

  • Biomedical Engineering
  • Ophthalmology
  • Optometry

Cite this

Mathematical modeling for novel treatment approaches to open-angle glaucoma. / Gross, Josh C.; Harris, Alon; Siesky, Brent; Sacco, Riccardo; Shah, Aaditya; Guidoboni, Giovanna.

In: Expert Review of Ophthalmology, Vol. 12, No. 6, 02.11.2017, p. 443-455.

Research output: Contribution to journalReview article

Gross, Josh C. ; Harris, Alon ; Siesky, Brent ; Sacco, Riccardo ; Shah, Aaditya ; Guidoboni, Giovanna. / Mathematical modeling for novel treatment approaches to open-angle glaucoma. In: Expert Review of Ophthalmology. 2017 ; Vol. 12, No. 6. pp. 443-455.
@article{cf50613bb5734b3a825ba825863c7cd3,
title = "Mathematical modeling for novel treatment approaches to open-angle glaucoma",
abstract = "Introduction: Reduction of intraocular pressure, the only currently approved therapy for Open-angle glaucoma (OAG), has yet to fully arrest the disease process in many individuals, therefore it is critical to develop novel treatment approaches for OAG. Due to the multifactorial and complex nature of the disease, mathematical modeling may provide an effective tool to advance our understanding of glaucoma risk for a given individual. Areas covered: Herein we discuss the impactful role that mathematical modeling and Big Data hold for the future of OAG treatment. Previous work on biophysical modeling in OAG is considered along with exploring how the combination of statistical and biophysical modeling with demographic and clinical data improves individualized risk assessment allowing for earlier and more effective OAG management. Literature search methods included PubMed, Medline, and cross-matching of relevant article literature sources. Expert commentary: Mathematical modeling in OAG offers novel and promising improvements for OAG risk assessment. With further development mathematical modeling may allow for individualized risk assessments that will lead to more specific and earlier diagnostic and treatment interventions. Additionally, innovative drug development and treatment targets are conceivable through employment of biophysical modeling and tissue targeting.",
keywords = "aqueous humor, big data, glaucoma treatment, intraocular pressure, mathematical modeling, Open angle glaucoma, risk profile",
author = "Gross, {Josh C.} and Alon Harris and Brent Siesky and Riccardo Sacco and Aaditya Shah and Giovanna Guidoboni",
year = "2017",
month = "11",
day = "2",
doi = "10.1080/17469899.2017.1383896",
language = "English (US)",
volume = "12",
pages = "443--455",
journal = "Expert Review of Respiratory Medicine",
issn = "1747-6348",
publisher = "Expert Reviews Ltd.",
number = "6",

}

TY - JOUR

T1 - Mathematical modeling for novel treatment approaches to open-angle glaucoma

AU - Gross, Josh C.

AU - Harris, Alon

AU - Siesky, Brent

AU - Sacco, Riccardo

AU - Shah, Aaditya

AU - Guidoboni, Giovanna

PY - 2017/11/2

Y1 - 2017/11/2

N2 - Introduction: Reduction of intraocular pressure, the only currently approved therapy for Open-angle glaucoma (OAG), has yet to fully arrest the disease process in many individuals, therefore it is critical to develop novel treatment approaches for OAG. Due to the multifactorial and complex nature of the disease, mathematical modeling may provide an effective tool to advance our understanding of glaucoma risk for a given individual. Areas covered: Herein we discuss the impactful role that mathematical modeling and Big Data hold for the future of OAG treatment. Previous work on biophysical modeling in OAG is considered along with exploring how the combination of statistical and biophysical modeling with demographic and clinical data improves individualized risk assessment allowing for earlier and more effective OAG management. Literature search methods included PubMed, Medline, and cross-matching of relevant article literature sources. Expert commentary: Mathematical modeling in OAG offers novel and promising improvements for OAG risk assessment. With further development mathematical modeling may allow for individualized risk assessments that will lead to more specific and earlier diagnostic and treatment interventions. Additionally, innovative drug development and treatment targets are conceivable through employment of biophysical modeling and tissue targeting.

AB - Introduction: Reduction of intraocular pressure, the only currently approved therapy for Open-angle glaucoma (OAG), has yet to fully arrest the disease process in many individuals, therefore it is critical to develop novel treatment approaches for OAG. Due to the multifactorial and complex nature of the disease, mathematical modeling may provide an effective tool to advance our understanding of glaucoma risk for a given individual. Areas covered: Herein we discuss the impactful role that mathematical modeling and Big Data hold for the future of OAG treatment. Previous work on biophysical modeling in OAG is considered along with exploring how the combination of statistical and biophysical modeling with demographic and clinical data improves individualized risk assessment allowing for earlier and more effective OAG management. Literature search methods included PubMed, Medline, and cross-matching of relevant article literature sources. Expert commentary: Mathematical modeling in OAG offers novel and promising improvements for OAG risk assessment. With further development mathematical modeling may allow for individualized risk assessments that will lead to more specific and earlier diagnostic and treatment interventions. Additionally, innovative drug development and treatment targets are conceivable through employment of biophysical modeling and tissue targeting.

KW - aqueous humor

KW - big data

KW - glaucoma treatment

KW - intraocular pressure

KW - mathematical modeling

KW - Open angle glaucoma

KW - risk profile

UR - http://www.scopus.com/inward/record.url?scp=85036645699&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85036645699&partnerID=8YFLogxK

U2 - 10.1080/17469899.2017.1383896

DO - 10.1080/17469899.2017.1383896

M3 - Review article

AN - SCOPUS:85036645699

VL - 12

SP - 443

EP - 455

JO - Expert Review of Respiratory Medicine

JF - Expert Review of Respiratory Medicine

SN - 1747-6348

IS - 6

ER -