Spotlight
Clinical
Events
CME
Partners
Subscribe
- COVID-19
- Biosimilars
- Cataract Therapeutics
- DME
- Gene Therapy
- Workplace
- Ptosis
- Optic Relief
- Imaging
- Geographic Atrophy
- AMD
- Presbyopia
- Ocular Surface Disease
- Practice Management
- Pediatrics
- Surgery
- Therapeutics
- Optometry
- Retina
- Cataract
- Pharmacy
- IOL
- Dry Eye
- Understanding Antibiotic Resistance
- Refractive
- Cornea
- Glaucoma
- OCT
- Ocular Allergy
- Clinical Diagnosis
- Technology
Computer-assisted characterization of autoantibody patterns may provide powerful tool for glaucoma diagnosis
Ft. Lauderdale--Analysis of autoantibody repertoires using advanced pattern-matching algorithms, such as artificial neural networks, may be a useful technique for diagnosis of glaucoma, said Franz H. Grus, MD, of the University of Mainz, Germany.
Related Videos
Related Content
