Search Results - glaucoma

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Intrastromal Lamellar Keratoprosthesis (Artificial Cornea) (Case No. 2025-177)
Summary: UCLA researchers in the Department of Ophthalmology have developed an intrastromal artificial cornea implant designed to enhance biointegration and effectively restore vision. Background: Corneal opacities are among the top five causes of blindness worldwide. For patients who are not candidates for conventional corneal transplantation, keratoprosthesis...
Published: 7/25/2025   |   Inventor(s): Seyed Reza Ghaffari Dehkharghani, Anthony Aldave
Keywords(s): Biologic Medical Product, Biomedical Engineering, biomedical implantation, biomedical sensors, diseases of the eye, eye disease, eye motion, eye movement disorders, Eye Surgery, eye tracking, Glaucoma, macular corneal dystrophy, Macular Degeneration, Medical Device, Medical Imaging Eyepiece, on-eyelid sensor, Ophthalmic antibiotics, Ophthalmology, Other Polymers, Polymers, Prosthetics, Transplant, Transplant Rejection, transplant surgery
Category(s): Medical Devices, Medical Devices > Surgical Tools, Therapeutics > Ophthalmology
Bone Marrow Mesenchymal Stem Cell (BMSC)-Derived Exosomes for the Treatment of Glaucoma
Abstract: Glaucoma is one of the world’s leading causes of irreversible blindness. There is no cure and vision lost from glaucoma cannot be restored. Glaucoma is associated with fluid build-up in the eye resulting in an increased intraocular pressure (IOP). The pressure may cause damage to the optic nerve and lead to progressive degeneration of retinal...
Published: 4/22/2025   |   Inventor(s): Stanislav Tomarev, Benjamin Mead
Keywords(s): Degenerative Ocular Disease, Exosomes, GLAUCOMA, National Eye Institute, NEI, Neuroprotection, Retinal Ganglion Cell Loss, RGC, Tomarev, Vector Encoding miRNA, Vision Loss
Category(s): Collaboration Sought > Collaboration, Collaboration Sought > Licensing, Application > Therapeutics, TherapeuticArea > Ear, Nose, & Throat, TherapeuticArea > Ophthalmology
2022-217 DDLSNET PIPELINE: A NOVEL DEEP LEARNING-BASED SYSTEM FOR GRADING GLAUCOMATOUS FUNDUSCOPIC IMAGES FOR DAMAGE
SUMMARY: UCLA researchers in the Department of Ophthalmology have developed a deep learning-based automated algorithm that can grade funduscopic images for the diagnosis and treatment of glaucoma. BACKGROUND: Glaucoma is the second leading cause of blindness in the world. In 2020, about 80 million patients suffered from glaucoma, and over 110...
Published: 2/14/2025   |   Inventor(s): Zhe Fei, Haroon Rasheed, Esteban Morales, Tyler Davis, Lourdes Grassi, Agustina de Gainza, Joseph Caprioli
Keywords(s): Artificial Intelligence, Digital Health, Glaucoma, Image Analysis, Monitoring And Recording Systems, Ophthalmology
Category(s): Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices > Monitoring And Recording Systems, Software & Algorithms > Programs