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Clinical Endpoints and data management in the era of ophthalmic precision medicine

December 23, 2022

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Summary

The goal of precision medicine is to improve individual care through the stratification of patients according to a taxonomy derived from large-scale data, including clinical, lifestyle, genetic and further biomarker information, thus going beyond the classical “signs-and-symptoms” approach. Precision medicine is a process that incorporates a comprehensive approach to understanding the specific needs of patients with shared attributes, targeting more effective care with lower risks. The evolution of precision medicine requires a revolution in managing healthcare data, from clinical research, through clinical trials and into clinical practice. Drug molecules and biologics are necessary for a new drug, and clinical endpoints are the outcome measures for assessing safety and effectiveness.

Show Notes

The evolution of precision medicine requires a revolution in managing healthcare data, from clinical research, through clinical trials and into clinical practice.
Clinical endpoints form a battery of tests that measure structure, function, and impact on activities of daily living at each phase of clinical trials.
Clinical endpoints are not born; they are madeIt is critical to develop appropriate clinical endpoints in parallel with new drug development from the earliest phases.
Improving patient care across all sectorsIntegrated image and data management across the entire lifecycle of pre-clinical and clinical research, clinical trials, and clinical practice are necessary to advance ophthalmic precision medicine.
Finely grained medical solutions require large-data solutions with enough power to discover the needed biomarkers and validate clinical endpoints.

Source

https://www.openaccessgovernment.org/clinical-endpoints-and-data-management-ophthalmic-precision-medicine/144728/

Tags: biologicsbiomarkerbiomarkersbiomedhealthcaremedicineophthalmology
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