In this free webinar, attendees will learn how life science organizations can shift focus to higher-value and more productive work, improve outcomes and speed innovative discoveries with scientific data that are compliant, harmonized, liquid and actionable.
New and innovative approaches to accelerate drug discovery and development cannot address the fundamental problem the life sciences industry still faces — a fragmented and chaotic data ecosystem. The recent “2022 State of the Digital Lab Transformation in Biopharma” report by TetraScience in collaboration with Pharma IQ, highlighted significant challenges blocking discovery, which included difficulty accessing data, spending time on manual data transformation and finding that almost half of all scientific data does not adhere to FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
To drive scientific outcomes and innovation and leverage the power of AI/ML, modern data-driven drug discovery must be fueled by scientific data that are:
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- Accessible, searchable and actionable
- Harmonized from disparate data models
- Fluid between instruments, systems and software
- Compliant with GxP and other regulatory requirements
Join this webinar to learn what life sciences and pharma companies gain once all of their data is available across Electronic Laboratory Notebooks/Laboratory Information Management Systems (ELN/LIMS), instrument and control software and prepared for advanced analytics, AI/ML and visualization. With unfettered access to scientific data that are compliant, harmonized, liquid and actionable in the cloud, companies improve laboratory efficiency and productivity, bring better products to market faster and identify new opportunities to positively impact human lives.
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