A look at what’s in the therapeutic delivery pipeline for these disorders.
Multimodal imaging and a systemic work-up failed to identify any underlying disorder for the hemorrhages
Code-free deep learning models are expected to find applications across a range of areas to improve patient care, increase accessibility to healthcare, accelerate clinical research and enhance medical education.
Methods using a combination of non-invasive thermal treatments and meibomian gland expression seem to be particularly effective.
A new monofocal IOL was found to provide stability in the capsular bag 1 week and 1 month after implantation, with good refractive outcomes.
Results of a study analysing cytokine levels in the aqueous humour and serum of patients with nonproliferative diabetic retinopathy with and without diabetic macular oedema support further research investigating transforming growth factor-β-induced Gene Human Clone 30 (BIGH3) as a potential biomarker for DMO.
More testing is needed to ensure accuracy across different groups
Investigators emphasised a significant unmet need for home-based monitoring of visual function with patient-centric technologies
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To maintain treatment quality and patient and staff safety in the SARS-CoV-2 era, it is important to minimise clinic visits and maximise use of imaging modalities. In addition, extending treatment intervals with longer-acting agents is key to maximising safety and patients’ vision outcomes.
Correcting abnormal tear film osmolarity before cataract surgery enables more accurate measurements to be captured, reducing residual refractive error.
A recently developed tool can help ophthalmologists to assess the quality of findings from real-world studies in retinal diseases. This will help them decide which results are most robust and applicable to their practice.
Physician outlines latest emerging technologies to treat condition
No two corneal ulcers are alike, but if they are large and centrally located, the common denominator is that time is of the essence
Methods using a combination of non-invasive thermal treatments and meibomian gland expression seem to be particularly effective.
A new amblyopia screening system that can be used on Android devices has performed better than some of the ‘gold standard’ stereotests in recent Hungarian studies.
An interdisciplinary team at Duke University has developed a proof-of-concept machine learning model capable of detecting symptomatic Alzheimer disease using multimodal retinal imaging data.
A one-piece, hydrophobic, monofocal IOL uses the small-aperture concept to provide a good alternative to the toric IOLs currently available.
A cost-utility analysis found that concurrent phacoemulsification and minimally invasive glaucoma surgery using trabecular microbypass stents is cost-effective for treating mild to moderate open-angle glaucoma, compared with cataract surgery alone.
One of AI’s most promising applications: new diagnostic algorithms
An interdisciplinary team at Duke University has developed a proof-of-concept machine learning model capable of detecting symptomatic Alzheimer disease using multimodal retinal imaging data.
Although off-label repackaged bevacizumab syringes appear to satisfy an urgent clinical and financial need for patients with a variety of retinal disorders, they are known to be associated with considerable public health concerns due to the risks posed to patients from compounding pharmacies’ lack of compliance with a variety of FDA requirements.
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