Dr Misha Kapushesky gives a presentation on the Pharmaceutical R&D Informatics track on Wednesday 16th May at 2:55 pm
A Collaborative Ecosystem can be The Answer
With the cost of sequencing being driven down, the amount of Life Science Data produced is increasing at an unfathomable rate. The challenges now faced by pharmaceutical organisations is not the need for more data, but better integration, management and visualisation of data. The solution? A best of breed Life Science Data ecosystem with flexible and modular architecture
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There's been dramatic progress in life science technologies over the years, yet the fundamental goal of the Bio-IT community remains the same -- to make the most of data and computing to advance medicine.
Datasets are only continuing to grow larger as pharmaceutical companies generate and collect data from a number of sources, including R&D, clinical, translational, genomic, and health records and these companies must effectively manage, integrate, and analyze this data to enable more informed decision-making. Furthermore, ensuring this data is of a high quality, consistent, and correct is key to analyzing data and developing actionable insights.
Track 10 explores the progress made in the integration and analysis of complex datasets, generated both internally and externally, and real-world data to transform R&D and drive precision medicine.
