Ramesh Ramani

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Beyond GenAI: The Training-Free Discovery Potential of LLMs in a Drug Safety and Regulatory Context

Ramesh Ramani;RaviKanth Valigari

Life sciences data sets can be vast and complex to process, but up to now bringing intelligent automation systems up to speed and validating them has felt debilitatingly onerous. Large language models tackle these barriers head on. Ramesh Ramani and RaviKanth Valigari, technology innovators at ArisGlobal, explain.

Latest Updated Articles

Buy, Sell, Hold: Cell and Gene Therapy

Published: October 11th 2024 | Updated: October 18th 2024

Buy, Sell, Hold: Cell and Gene Therapy - Part 1

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Published: September 10th 2024 | Updated: September 18th 2024

CPHI Milan Announces 2024 CPHI Pharma Award Finalists

Published: October 28th 2024 | Updated: November 25th 2024

Discovery to Commercialization: The Right Partnerships are Key to Streamlined Drug Development

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Published: November 6th 2024 | Updated: November 25th 2024

Automate Aseptic Filling: Closing the System at Full Modularity

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Published: November 5th 2024 | Updated: November 25th 2024

Untethered Data: Unifying and Contextualizing Drug Discovery Data

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Published: November 8th 2024 | Updated: November 25th 2024

Application of Validation Principles to the Training Quality System: Part 9, Quality Risk Management Hazard Identification

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