In the webinar, Abhishek Jha, PhD, CEO and Co-Founder- Elucidata, highlights the challenges R&D teams face in utilizing the vast universe of data due to the lack of tools and expertise.
The webinar underscores the critical role of high-quality data in advancing R&D efforts and the transformative potential of task-specific models.
Dr. Jha emphasized the development of Elucidata's scalable harmonization engine, which has significantly improved the usability of data by processing millions of samples efficiently.
He showcased the impact of this technology through case studies, demonstrating enhanced query accuracy, reduced time to analysis, and the overall positive effects on building foundational models for biology.
In the webinar, Abhishek Jha, PhD, CEO and Co-Founder- Elucidata, highlights the challenges R&D teams face in utilizing the vast universe of data due to the lack of tools and expertise.
The webinar underscores the critical role of high-quality data in advancing R&D efforts and the transformative potential of task-specific models.
Dr. Jha emphasized the development of Elucidata's scalable harmonization engine, which has significantly improved the usability of data by processing millions of samples efficiently.
He showcased the impact of this technology through case studies, demonstrating enhanced query accuracy, reduced time to analysis, and the overall positive effects on building foundational models for biology.
Scaling clinico-genomic data integration: Large pharmaceutical organizations working with external data providers used Polly to build interoperable clinico-genomic data products 6x faster.
Although purchased datasets are often labeled as "clean," they still lack interoperability—Polly's pipelines bridge this gap with robust integration and harmonization.
Information Retrieval: Drug safety monitoring teams used Polly's Knowledge Graph powered co-scientist to conversationally retrieve the right cohorts & assess drug response—cutting discovery time by 70%.
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