@article{e4eab6487ac249c2984d3f5548fb07f3,
title = "Precision medicine and glaucoma management: how mathematical modeling and artificial intelligence help in clinical practice",
keywords = "Glaucoma, artificial intelligence, mathematical modeling, precision medicine, risk factors",
author = "G. Guidoboni and R. Nunez and J. Keller and C. Wikle and Robinson, {E. L.} and A. Verticchio and B. Siesky and F. Oddone and L. Quaranta and B. Wirostko and F. Topouzis and Cheng, {C. Y.} and I. Januleviciene and A. Wegner and G. Antman and C. Jones and A. Harris",
note = "Funding Information: G Guidoboni is supported by NSF DMS 1853222/2021192, NSF DMS 2108711/2108665. A Harris is supported by NIH grant (R01EY030851); NSF DMS (1853222/2021192); NYEE Foundation grant; in part by a Challenge Grant award from Research to Prevent Blindness, NY. Research reported in this publication was supported by the National Eye Institute of the National Institutes of Health under Award Number R01EY034718. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.",
year = "2022",
doi = "10.1080/17469899.2022.2130249",
language = "English",
volume = "17",
pages = "299--301",
journal = "Expert Review of Ophthalmology",
issn = "1746-9899",
publisher = "Taylor and Francis Ltd.",
number = "5",
}