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2024 - Empowering Scientific Breakthroughs: How Scientists Can Use AI and ML for Drug Discovery

Date2024-10-29

Deadline2024-10-29

VenueONLINE-VIRTUAL, USA - United States USA - United States

KeywordsLife Sciences; Pharmaceutical; Drug Discovery & Development

Websitehttps://xtalks.com/webinars/empowering-s...

Topics/Call fo Papers

In the rapidly evolving field of drug discovery, artificial intelligence (AI) and machine learning (ML) have become well-known multipliers in accelerating research and enhancing the development of therapeutic compounds.
In this webinar, the expert speakers will demonstrate how these technologies are integrated in Revvity Signals’ software solutions. They will also discuss the future picture and how AI/ML capabilities will be enhanced further into their software solutions. They will also share their future direction and pipeline and explore how these solutions will continue to empower scientists to drive significant breakthroughs in drug discovery.
They will explore how AI and ML are not just automating processes but transforming drug discovery by accelerating research and enhancing the development of new therapies. They will also contrast AI with augmented intelligence, highlighting their unique roles and synergistic potentials in advancing scientific research.
The attendees will learn about the use of large language models (LLMs) to enhance search capabilities within their platforms, AI-driven recommendations for chemical reactions to optimize the synthesis of new compounds and the application of neural network-based Phenologic AI for improving the accuracy and efficiency of cellular imaging. These insights will showcase how AI and ML can be leveraged to push the boundaries of what’s possible in drug discovery and development.
Register for this webinar today to discover how cutting-edge AI and ML technologies are being leveraged for drug discovery and development.
Keywords: Drug Development, Drug Discovery, CRO, Drug Manufacturing, Medicinal Chemistry, AI, Analytical Chemistry, Data Science, Small Molecule Drug Discovery, Basic Research

Last modified: 2024-09-17 05:19:21