Personalized Medicine in Ophthalmic Diseases: Challenges and Opportunities

• Other Authors: Jin, Kai (Editor), Zhang, Chun (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Medicine; 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.