OMx Personal Health Analytics Inc.

Published purpose

As part of EUREKA - Clusters ITEA Program, the project "ITEA - 23042 - AIDESL - Fully Automated AI Data Extraction from Scientific Literature" seeks to work globally with11 partners across 6 countries to establish methodological standards for AI LLM’s use to reduce the time it takes to complete a systematic literature review (SLR), accelerate time to market impact of SLRs use for regulatory submissions, and lower reviewer fatigue and burnout from their overall manual conduct of SLRs. The Firm will specifically assist in the partnership via three work packages: development of AI and LLM techniques for SLR; integration, demonstration, and evaluation of no code/low code LLM in the pharmaceutical environment; and exploitation and standardization of project management of the consortium.