AI in Biomedical Research: Regulatory & Technology Perspectives, Upcoming Webinar Hosted by Xtalks

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TORONTO, Oct. 17, 2023 /PRNewswire-PRWeb/ -- Discover a groundbreaking webinar delving into the use of artificial intelligence (AI) and machine learning (ML) in preclinical drug research and related regulatory frameworks. The challenges and opportunities of integrating AI into preclinical drug research and development workflows are of increasing importance, especially in the context of regulatory science expectations. On the one hand, legislative priorities seek to reduce the cost of healthcare and drugs, while also reducing the burden of testing on animals through the use of technology like AI.

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Provider:

PR Newswire

Retrieved on:

Martedì, Ottobre 17, 2023

Information

Tags:

Knowledge, Doctor of Philosophy, Division, Life, Machine learning, Research, CSO, AI, Animal, VMD, Artificial intelligence, FDA, National Center for Toxicological Research, Bioinformatics, Patient, Artifact, Medical device, Biostatistics

Geotags:

ONTARIO, CANADA, US

Sommario

Key Points:

Attendees will learn best practice considerations for researchers considering, or already implementing AI techniques in their workflows.
TORONTO, Oct. 17, 2023 /PRNewswire-PRWeb/ -- Discover a groundbreaking webinar delving into the use of artificial intelligence (AI) and machine learning (ML) in preclinical drug research and related regulatory frameworks.
The challenges and opportunities of integrating AI into preclinical drug research and development workflows are of increasing importance, especially in the context of regulatory science expectations.
The challenges and opportunities of integrating AI into preclinical drug research and development workflows are of increasing importance, especially in the context of regulatory science expectations.

AI in Biomedical Research: Regulatory & Technology Perspectives, Upcoming Webinar Hosted by Xtalks

In this free webinar, learn about the use of artificial intelligence (AI) in preclinical drug development. The featured speakers will discuss the US regulatory framework for evaluating drug applications featuring AI/ML (machine learning)-derived research artifacts, or AI/ML-informed research complementing in vitro/in vivo artifacts. Attendees will learn best practice considerations for researchers considering, or already implementing AI techniques in their workflows. The speakers will discuss the various resources and communities available to researchers, enabling them to acquire knowledge and get ready for cooperation and alignment with regulatory authorities.

TORONTO, Oct. 17, 2023 /PRNewswire-PRWeb/ -- Discover a groundbreaking webinar delving into the use of artificial intelligence (AI) and machine learning (ML) in preclinical drug research and related regulatory frameworks. The challenges and opportunities of integrating AI into preclinical drug research and development workflows are of increasing importance, especially in the context of regulatory science expectations. On the one hand, legislative priorities seek to reduce the cost of healthcare and drugs, while also reducing the burden of testing on animals through the use of technology like AI.

The challenges and opportunities of integrating AI into preclinical drug research and development workflows are of increasing importance, especially in the context of regulatory science expectations.

Join this interactive webinar to watch leaders from the FDA and VeriSIM Life share their perspectives on where and how AI is being applied within the preclinical phase of the drug development lifecycle, how scientific regulators are working with stakeholders today to responsibly leverage AI, and what needs to be done to continue evolving the state of AI for the benefit of all patients. Additional topics to discuss will include:

The use of ML to augment and complement the use of animal models in preclinical research
Techniques supporting improved preclinical toxicological knowledge and toxicogenomic research
Applying chemical pattern analysis and bioanalytics to predict drug interactions and support drug repositioning
Concepts of bias and explainability in preclinical AI model development

Join Dr. Szczepan Baran, MS, VMD, CSO, VeriSIM Life; and Dr. Weida Tong, PhD, Director, Division of Bioinformatics and Biostatistics, FDA National Center for Toxicological Research, for the live webinar on Monday, October 30, 2023, at 1pm EDT (5pm GMT/UK).

For more information, or to register for this event, visit AI in Biomedical Research: Regulatory & Technology Perspectives.

ABOUT XTALKS

Xtalks, powered by Honeycomb Worldwide Inc., is a leading provider of educational webinars to the global life science, food and medical device community. Every year, thousands of industry practitioners (from life science, food and medical device companies, private & academic research institutions, healthcare centers, etc.) turn to Xtalks for access to quality content. Xtalks helps Life Science professionals stay current with industry developments, trends and regulations. Xtalks webinars also provide perspectives on key issues from top industry thought leaders and service providers.

To learn more about Xtalks visit http://xtalks.com
For information about hosting a webinar visit http://xtalks.com/why-host-a-webinar/

Media Contact

Vera Kovacevic, Xtalks, +1 (416) 977-6555 x371, [email protected]

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SOURCE Xtalks