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          Application of Artificial Intelligence and Machine Learning for Precision Medicine - 02/17/2023News & Events for Human Drugs Virtual
    Event Title
              Application of Artificial Intelligence and Machine Learning for Precision Medicine


                  February 17, 2023

  

    
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      Meeting InformationDate:
          
  


     
           

February 17, 2023   

 
 
        
                                      Time: 
                                      
10:00 AM
    - 4:15 PM
ET

 





About this Virtual Workshop:

The U.S. Food and Drug Administration (FDA) – in collaboration with the University of Maryland Center of Excellence in Regulatory Science and Innovation (M-CERSI) – will host a one-day virtual public workshop entitled “Application of Artificial Intelligence and Machine Learning for Precision Medicine” on Friday, February 17, 2023.

The purpose of this workshop is to review current methodologies, opportunities, challenges, and best practices to address the rapidly changing landscape of artificial intelligence and machine learning in the setting of drug development and precision medicine.

Workshop Objectives:

Review progress made from implementing artificial intelligence and machine learning in drug development and precision medicine.
	Discuss methodologies and best practices used today in this field.
	Discuss technical challenges such as bias, generalizability, and opacity and how they can lead to issues of data disparity, fairness, and trustworthiness. We will also discuss how to address these challenges.Meeting Information and Registration:

This virtual workshop is open to the public with no cost to attend, but registration is required. For more information and to view the draft Agenda, visit the MCERSI webpage.
 **Contact:**

For questions regarding this event, please contact:

Kunal Naik
Office of Clinical Pharmacology
Center for Drug Evaluation and Research
U.S. Food and Drug AdministrationOCPWorkshops@fda.hhs.gov

                                                                                  Content current as of:
      01/10/2023
         
                   
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