Alcon had two patents in cybersecurity during Q2 2024. The patent filed by Alcon Inc in Q2 2024 relates to systems and methods for determining the compatibility of a multi-focal contact lens with a patient seeking presbyopia vision correction. This involves receiving biometric information from an eye-care professional, obtaining a performance metric, using a machine learning model to determine a customized compatibility index, and presenting a report on the compatibility index. The patent also includes additional systems, methods, and machine-readable mediums for this purpose. GlobalData’s report on Alcon gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Alcon had no grants in cybersecurity as a theme in Q2 2024.
Recent Patents
Application: Systems and methods for using machine learning to predict contact lens compatibility (Patent ID: US20240197167A1)
The patent filed by Alcon Inc. describes systems and methods for determining the compatibility between a multi-focal contact lens and a patient seeking presbyopia vision correction. The system involves receiving a request from an eye-care professional (ECP) for selecting a contact lens for a consumer, obtaining a performance metric associated with the ECP, using a machine learning model to determine a customized compatibility index based on the performance metric, and presenting a report indicating the compatibility index. The system also includes features such as generating compatibility scores based on biometric information, adjusting compatibility score ranges based on ECP performance metrics, and predicting vision quality for the consumer using the contact lens.
The method outlined in the patent involves receiving a request from an ECP for determining compatibility between a particular lens and a patient, comparing performance information of different ECPs, selecting a compatibility index customized for the ECP based on patient attributes, and presenting a report indicating the compatibility index. Additional features of the method include providing a vision simulation to the patient, obtaining biometric data during the simulation, considering patient attributes like age and eye dryness index, and using vision quality data to train the machine learning model. The non-transitory machine-readable medium described in the patent stores instructions for performing operations related to selecting contact lenses, obtaining performance metrics, generating compatibility scores, and training the machine learning model based on biometric and vision quality data.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
