Personalized Medicine in Ophthalmic Diseases: Challenges and Opportunities

This reprint focuses on personalized medicine in ophthalmic diseases, their challenges and opportunities, which often involves methods to achieve personalized diagnosis and treatment of ophthalmic diseases. Personalized medicine is a broadly used term to encompass approaches used to tailor healthcar...

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collection Directory of Open Access Books
description This reprint focuses on personalized medicine in ophthalmic diseases, their challenges and opportunities, which often involves methods to achieve personalized diagnosis and treatment of ophthalmic diseases. Personalized medicine is a broadly used term to encompass approaches used to tailor healthcare to the needs of individual patients. It has been early adopted in ophthalmology and is mainly achieved through disease stratification and individualization. Therefore, diagnostic techniques that can realize comprehensive individual assessment are very important. Previous studies have put forward techniques such as next-generation sequencing and translational research. Gene therapy-based treatment trials have been presented for ophthalmic diseases such as retinitis pigmentosa and age-related macular degeneration. Recently, with the rapid development of artificial intelligence and interdisciplinary collaboration, concepts such as machine learning and wearable devices have been frequently discussed in ophthalmic research. There might be new promising methods to realize personalized ophthalmology.
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institution Directory of Open Access Books
language eng
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1014302024-03-31T13:10:15Z Personalized Medicine in Ophthalmic Diseases: Challenges and Opportunities Jin, Kai Zhang, Chun deep learning eyelid tumor classification digital pathology images MAC-ResNet hemangioma lymphoma segmentation classification glaucoma dementia Alzheimer’s Parkinson’s risk dissociated optic nerve fiber layer retinal dimples internal limiting membrane idiopathic full-thickness macular hole optical coherence tomography retinal detachment pneumatic retinopexy intravitreal injection laser photocoagulation retinal thickness modified technique phacoemulsification vitrectomized eyes lens–iris diaphragm retropulsion aniridia PAX6 gene targeted gene capture sequencing frameshift autosomal recessive inheritance C-Read reading speed smartphone-based application healthy subjects infectious keratitis slit lamp image automatic classification hematopoietic stem cell transplantation cytomegalovirus retinitis recurrence wide-angle fundus photography polymerase chain reaction CD4 n/a thema EDItEUR::M Medicine and Nursing This reprint focuses on personalized medicine in ophthalmic diseases, their challenges and opportunities, which often involves methods to achieve personalized diagnosis and treatment of ophthalmic diseases. Personalized medicine is a broadly used term to encompass approaches used to tailor healthcare to the needs of individual patients. It has been early adopted in ophthalmology and is mainly achieved through disease stratification and individualization. Therefore, diagnostic techniques that can realize comprehensive individual assessment are very important. Previous studies have put forward techniques such as next-generation sequencing and translational research. Gene therapy-based treatment trials have been presented for ophthalmic diseases such as retinitis pigmentosa and age-related macular degeneration. Recently, with the rapid development of artificial intelligence and interdisciplinary collaboration, concepts such as machine learning and wearable devices have been frequently discussed in ophthalmic research. There might be new promising methods to realize personalized ophthalmology. 2023-07-14T14:32:06Z 2023-07-14T14:32:06Z 2023 book ONIX_20230714_9783036580203_129 9783036580203 9783036580210 https://directory.doabooks.org/handle/20.500.12854/101430 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7533 https://mdpi.com/books/pdfview/book/7533 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-8021-0 10.3390/books978-3-0365-8021-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036580203 9783036580210 140 Basel open access
spellingShingle deep learning
eyelid tumor classification
digital pathology images
MAC-ResNet
hemangioma
lymphoma
segmentation
classification
glaucoma
dementia
Alzheimer’s
Parkinson’s
risk
dissociated optic nerve fiber layer
retinal dimples
internal limiting membrane
idiopathic full-thickness macular hole
optical coherence tomography
retinal detachment
pneumatic retinopexy
intravitreal injection
laser photocoagulation
retinal thickness
modified technique
phacoemulsification
vitrectomized eyes
lens–iris diaphragm retropulsion
aniridia
PAX6 gene
targeted gene capture sequencing
frameshift
autosomal recessive inheritance
C-Read
reading speed
smartphone-based application
healthy subjects
infectious keratitis
slit lamp image
automatic classification
hematopoietic stem cell transplantation
cytomegalovirus retinitis
recurrence
wide-angle fundus photography
polymerase chain reaction
CD4
n/a
thema EDItEUR::M Medicine and Nursing
Personalized Medicine in Ophthalmic Diseases: Challenges and Opportunities
title Personalized Medicine in Ophthalmic Diseases: Challenges and Opportunities
title_full Personalized Medicine in Ophthalmic Diseases: Challenges and Opportunities
title_fullStr Personalized Medicine in Ophthalmic Diseases: Challenges and Opportunities
title_full_unstemmed Personalized Medicine in Ophthalmic Diseases: Challenges and Opportunities
title_short Personalized Medicine in Ophthalmic Diseases: Challenges and Opportunities
title_sort personalized medicine in ophthalmic diseases challenges and opportunities
topic deep learning
eyelid tumor classification
digital pathology images
MAC-ResNet
hemangioma
lymphoma
segmentation
classification
glaucoma
dementia
Alzheimer’s
Parkinson’s
risk
dissociated optic nerve fiber layer
retinal dimples
internal limiting membrane
idiopathic full-thickness macular hole
optical coherence tomography
retinal detachment
pneumatic retinopexy
intravitreal injection
laser photocoagulation
retinal thickness
modified technique
phacoemulsification
vitrectomized eyes
lens–iris diaphragm retropulsion
aniridia
PAX6 gene
targeted gene capture sequencing
frameshift
autosomal recessive inheritance
C-Read
reading speed
smartphone-based application
healthy subjects
infectious keratitis
slit lamp image
automatic classification
hematopoietic stem cell transplantation
cytomegalovirus retinitis
recurrence
wide-angle fundus photography
polymerase chain reaction
CD4
n/a
thema EDItEUR::M Medicine and Nursing
topic_facet deep learning
eyelid tumor classification
digital pathology images
MAC-ResNet
hemangioma
lymphoma
segmentation
classification
glaucoma
dementia
Alzheimer’s
Parkinson’s
risk
dissociated optic nerve fiber layer
retinal dimples
internal limiting membrane
idiopathic full-thickness macular hole
optical coherence tomography
retinal detachment
pneumatic retinopexy
intravitreal injection
laser photocoagulation
retinal thickness
modified technique
phacoemulsification
vitrectomized eyes
lens–iris diaphragm retropulsion
aniridia
PAX6 gene
targeted gene capture sequencing
frameshift
autosomal recessive inheritance
C-Read
reading speed
smartphone-based application
healthy subjects
infectious keratitis
slit lamp image
automatic classification
hematopoietic stem cell transplantation
cytomegalovirus retinitis
recurrence
wide-angle fundus photography
polymerase chain reaction
CD4
n/a
thema EDItEUR::M Medicine and Nursing
url ONIX_20230714_9783036580203_129