A live webinar with our Head of Data Science Consulting Kevin Dialdestoro
Live on Nov, 24 at 11 am East Coast time / 4 pm GMT
Background
Life Science Data has become one of the cornerstones of R&D and successful clinical trials. And effective metadata governance is critical for making Life Science Data FAIR, unlocking its potential.
Unfortunately, organizations are spending too much valuable time and effort manually collecting, cleaning, and searching metadata such as study descriptions, sample conditions, gene models, etc. This suboptimal productivity can cost $10M per 100 researchers/data scientists annually.
Learning objectives
We will discuss some of the journeys our clients have been on and how their revamped metadata capability enables researchers to organize metadata more efficiently, empowers data scientists to access high-quality computable data for ML/AI, and ultimately accelerates drug development -- easily amounting to over $300M cost savings per drug due to better omics-driven target identification, biomarker/dosing strategy, and patient selection.
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