Machine Learning in Genomics: Tools, Resources, Clinical Applications, and Ethics Workshop

Image of a machine head with DNA bases flowing out the back.

 

This meeting is organized and hosted by the Genomic Data Science Working Group of the National Human Genome Research Institute (NHGRI).

The primary purpose of the workshop is to stimulate discussion around the opportunities and obstacles underlying the application of machine learning (ML) methods to basic genome sciences and genomic medicine, to define the key scientific topic areas in genomics that could benefit from ML analyses and NHGRI’s unique role at the convergence of genomic and ML research.

The data-intensive fields of genomics and ML are in an early stage of convergence. This workshop will include a combination of lectures from ML, genomics, and ethics researchers with substantial time set aside for virtual Q&A sessions in which all attendees, irrespective of expertise and background, are encouraged to participate. Topics of interest within genomics cover the full spectrum of basic and clinical research. The workshop will also focus on the ethical aspects of ML applications to genomics data. ML scientists without any connection to genomics are as welcome to join as those already applying their analytical methods to genomic data.

This meeting is free and open to anyone who registers. Trainees are encouraged to attend.

Please direct questions to natalie.kucher@nih.gov and sean.garin@nih.gov.

Workshop website

Date
- Add to Calendar 2021-04-13 11:00:00 2021-04-14 16:00:00 Machine Learning in Genomics: Tools, Resources, Clinical Applications, and Ethics Workshop Workshop web page https://www.genome.gov/event-calendar/Machine-Learning-in-Genomics-Tools-Resources-Clinical-Applications-and-Ethics

 

This meeting is organized and hosted by the Genomic Data Science Working Group of the National Human Genome Research Institute (NHGRI).

The primary purpose of the workshop is to stimulate discussion around the opportunities and obstacles underlying the application of machine learning (ML) methods to basic genome sciences and genomic medicine, to define the key scientific topic areas in genomics that could benefit from ML analyses and NHGRI’s unique role at the convergence of genomic and ML research.

The data-intensive fields of genomics and ML are in an early stage of convergence. This workshop will include a combination of lectures from ML, genomics, and ethics researchers with substantial time set aside for virtual Q&A sessions in which all attendees, irrespective of expertise and background, are encouraged to participate. Topics of interest within genomics cover the full spectrum of basic and clinical research. The workshop will also focus on the ethical aspects of ML applications to genomics data. ML scientists without any connection to genomics are as welcome to join as those already applying their analytical methods to genomic data.

This meeting is free and open to anyone who registers. Trainees are encouraged to attend.

Please direct questions to natalie.kucher@nih.gov and sean.garin@nih.gov.

Workshop website

https://clic-ctsa.org/events/machine-learning-genomics-tools-resources-clinical-applications-and-ethics-workshop Oregon Health and Science University admin@clic-ctsa.org America/New_York public
Activity Type
Workshop
Location Type
Online
Workshop web page