In this free webinar, gain insights into how artificial intelligence (AI) and machine learning (ML) are being practically applied in drug discovery. Attendees will learn about tools that could potentially streamline research processes. The featured speakers will discuss the future direction of AI in life sciences and its impact. The speakers will also share insights on how to enhance scientific workflows with augmented intelligence.

TORONTO, Oct. 9, 2024 /PRNewswire-PRWeb/ — 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.

This talk will explore Revvity Signals’ strategic journey and share details of existing AI/ML integrations into current Revvity Signals’ software solutions. The team will also discuss the future picture and direction of travel for AI/ML and their software solutions. The speakers will 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 share their insights into the opportunities afforded by AI/ML. Specifically, they will provide examples of how these tools are currently assisting researchers in their daily work in two ways: 1) to help scientists document or efficiently use the software and 2) to help scientists accelerate their science.

They will also discuss augmented intelligence, where AI and ML tools complement and enhance human expertise rather than replace it. The goal of augmented intelligence is to create solutions that support decision-making processes and accelerate routine tasks, allowing researchers to dedicate more time to higher-level analysis and creative problem-solving.

Register for this webinar today to discover how cutting-edge AI and ML technologies are being leveraged for drug discovery and development.

Join experts from Revvity Signals, Zev Wisotsky, Director of Drug Discovery Informatics; and David Gosalvez, PhD, Executive Director, Strategy & Informatics Portfolio, for the live webinar on Tuesday, October 29, 2024, at 11am EDT (4pm CET/EU-Central).

For more information, or to register for this event, visit Empowering Scientific Breakthroughs: How Scientists Can Use AI and ML for Drug Discovery.

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