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Latest press releases

RetinAI and Geographic Atrophy (GA) Expert Working Group partner to enable data collaboration and automated analysis of GA biomarkers for CAM using Discovery

RetinAI partnered with the Classification of Atrophy Meeting (CAM) Group in December 2022 to provide RetinAI’s Discovery® platform to the expert working group, consisting of more than 30 members, to facilitate peer-to-peer data collaboration and perform accelerated, automated biomarker analysis of real-world datasets of geographic atrophy (GA) patients. 
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RetinAI’s technology accelerated large-scale analysis of fluid dynamics in a Real-World, neovascular Age-related Macular Degeneration (nAMD) national database

RetinAI is proud to have provided its CE-marked AI tools for fluid quantification to support the analysis in a large scale, multicenter, real-world national database of neovascular Age related Macular Degeneration (nAMD) patients. The results of the study, recently published in the British Journal of Ophthalmology, demonstrate that volumetric measures derived from AI-based segmentation of OCT volumes provide useful information for clinicians to consult their patients at diagnosis.
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RetinAI launches Discovery CORE™: an AI-powered, collaborative platform to accelerate Clinical & Academic Research, & RWE analysis in ophthalmology

RetinAI is proud to launch Discovery CORE™ with AI for retinal fluid and layer segmentation. Discovery CORE and its AI models have been designed to accelerate data analysis and help clinical and academic researchers collaborate more efficiently, in real time, with their peers, on medical and imaging datasets. Automatically and in an instant, the software measures retinal fluid volumes and retinal layer thickness across OCT datasets. With built-in annotation tools and electronic case report forms, new data insights can also be collected across peer networks, keeping the information digitized, centralized and secure.
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RetinAI will attend AAO 2022 & is excited to introduce advances in AI for GA analysis & Progression Prediction & Discovery CORE™

RetinAI is a leader in clinical and imaging data management software and advanced analytics for Ophthalmology. The company’s platform technology and AI improve workflows in research, clinical studies and bring precision medicine applications to pharma, clinical research organizations (CROs) and clinicians.
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Latest updates

Fully-automated atrophy segmentation in dry age-related macular degeneration in optical coherence tomography - Scientific Reports

RetinAI is thrilled to introduce our novel method for the segmentation of atrophy with performance matching human experts published in Scientific Reports and developed in collaboration with the Fondation Asile des aveugles, Hôpital ophtalmique Jules-Gonin in Lausanne. Congratulations to both teams for this success!

Full Article - https://www.nature.com/articles/s41598-021-01227-0

Authors: Yasmine Derradji, Agata Mosinska, Stefanos Apostolopoulos, Carlos Ciller, Sandro De Zanet & Irmela Mantel Widmer

Automatic Atrophy Progression Prediction in Age-Related Macular Degeneration in EURETINA 2021

We are happy to present our novel method for prediction of continuous atrophy growth for follow-up periods of 4 years and longer in this year's EURETINA 2021. Congratulations to our collaborators and team members for this great poster.

We enable for the first time the creation of atrophy risk maps, which present the risk of retinal regions being affected by the atrophy in the future.

Authors: Agata Mosinska, Anthony Gigon, Stefanos Apostolopoulos, Carlos Ciller, Irmela Mantel Widmer, Sandro De Zanet

RetinAI in Top 100 Swiss Startups for 2021

RetinAI is proud to be recognized as one of the TOP 100 Swiss Startups for 2021. Check out the ‘Hall of Fame’ on www.top100startups.swiss to see Retinai again in the list this year.

Huge thanks to everyone in the team, to our supporters, and to our partners for believing in us along the way and for supporting us to define the future of Digital Precision Medicine!

First Peer-reviewed Publication around the RAZORBILL Study

The very first peer-reviewed publication around the RAZORBILL study has been published in the British journal of Ophthalmology (BJO).

'Does real-time artificial intelligence-based visual pathology enhancement of three-dimensional optical coherence tomography scans optimise treatment decision in patients with nAMD? Rationale and design of the RAZORBILL study'

A first of its class international multi-center clinical study to assess the influence of automated 3D OCT scan enrichment with segmentation information on disease activity assessment in patients with nAMD treated with either brolucizumab, ranibizumab or aflibercept.

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We are glad to be supporting this initiative together with a leading team of world renown ophthalmologists & Novartis!

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Contact us for more informations! We are happy to hear from you!

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