Supported by CCR Office of Science and Technology Resources (OSTR)
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Bioinformatics Training and Education Program

Featured

Upcoming Classes & Events

March

Description

This event is sponsored by an organization outside of the NIH; it is listed here due to the nature of the presented topics and their appeal to the NCI community.

Description:

Recent developments in molecular biology, multiplexed imaging, and computational biology have transformed the field of single cell genomics, and have widespread biological applications. However, the breathtaking pace of technology development has given rise to a multitude of molecular protocols, Read More

This event is sponsored by an organization outside of the NIH; it is listed here due to the nature of the presented topics and their appeal to the NCI community.

Description:

Recent developments in molecular biology, multiplexed imaging, and computational biology have transformed the field of single cell genomics, and have widespread biological applications. However, the breathtaking pace of technology development has given rise to a multitude of molecular protocols, commercial systems, and computational challenges.

The Satija Lab is excited to host the seventh annual Single Cell Genomics Day on Friday, March 29, 2024. This workshop will begin with an overview of exciting developments in the field over the past year, followed by in-depth presentations on exciting methods and techniques. Our goal is to empower you to utilize single cell genomics in your work. The workshop is free and open to beginners and experts alike.

Come to:

  • Learn about cutting-edge molecular technologies for multimodal single-cell analysis, scalable perturbation screens, time-resolved measurements, and spatial profiling.
  • Discover powerful new computational approaches for analyzing single cell data with AI language models, interpreting and benchmarking spatial technologies, and cross-species atlasing.
  • Hear keynote presentations from:
    • Ido Amit Weizmann Institute of Science
    • Jason Buenrostro Broad Institute
    • Xiaowei Zhuang Harvard University

Additional speakers and a full agenda will be posted to this website in advance of the workshop.

Single Cell Genomics Day will take place virtually in 2024. We are able to make all talks freely available via livestream thanks to support from the National Human Genome Research Institute to the Center for Integrated Cellular Analysis.

Details
Organizer
Non-NIH Event; Satija Lab
When
Fri, Mar 29, 2024 - 10:00 am - 5:00 pm
Where
Online
Description

This first of five webinars will introduce NIH’s All of Us Research Program, including the program’s mission and core values. Learn about the current size and diversity of the participant cohort and the data types and tools available to researchers. Attendees will also see examples of recent research using the All of Us dataset. 

Presenter: Sheri Schully, Ph.D., is the deputy chief medical and scientific officer Read More

This first of five webinars will introduce NIH’s All of Us Research Program, including the program’s mission and core values. Learn about the current size and diversity of the participant cohort and the data types and tools available to researchers. Attendees will also see examples of recent research using the All of Us dataset. 

Presenter: Sheri Schully, Ph.D., is the deputy chief medical and scientific officer and the lead for ancillary studies in the All of Us Research Program at the National Institutes of Health. Through her leadership, she is establishing ancillary studies as a core and scalable capability of the program that will expand the cohort and deliver new phenotypic, lifestyle, environmental, and biological data to the All of Us Researcher Workbench. Dr. Schully has been involved with shaping the program and setting the scientific vision and strategy since its inception. Dr. Schully's research interests include genomics, personalized medicine, and the integration of genetic and genomic information into clinical and public health practices. Her work has been published in numerous high-impact scientific journals.

This is the first of five sessions about NIH’s All of Us Research Program and Researcher Workbench. Attendees are encouraged, but not required, to attend all sessions. Register for additional sessions below:

Session 2  - April 12: All of Us Researcher Workbench Registration
Session 3 - April 19: Diving into the Researcher Workbench Data
Session 4 - April 26: Introduction to Coding in the Researcher Workbench
Session 5 - May 3: Resources to Support Researchers


Week of the All of Us Convention, Hosted by All of Us - April 3 to 4, 2024


Interested researchers are invited to attend the All of Us Researchers Convention on April 3 and 4. The free, virtual event provides an opportunity for researchers who use All of Us data to showcase their work for others who share their interests in precision medicine. Register for the All of Us Researchers Convention at ResearchAllofUs.org/2024Convention.

Details
Organizer
NIH Library
When
Fri, Mar 29, 2024 - 11:00 am - 12:00 pm
Where
Online

April

Description

Embark on a journey of visionary insights! Join us for the launch of the NEI Informatics & Data-Driven Insights: Seminars & Dialogue Opportunities for Vision Health series, hosted by the National Eye Institute’s Office of Data Science and Health Informatics (ODSHI). Read More

Embark on a journey of visionary insights! Join us for the launch of the NEI Informatics & Data-Driven Insights: Seminars & Dialogue Opportunities for Vision Health series, hosted by the National Eye Institute’s Office of Data Science and Health Informatics (ODSHI). Get ready as Michael Chiang, NEI Director, and Kerry Goetz, Associate Director of ODSHI, unveil the series and delve into NEI's perspective on the dynamic intersection of data science and vision research. Engage in stimulating dialogue with our esteemed speakers and share your input on future topics of interest. Don't miss this chance to be part of shaping the future of vision health!

Speakers:

Michael F. Chiang, MD: Michael F. Chiang is Director of the National Eye Institute. By background, he is a pediatric ophthalmologist and is also board-certified in clinical informatics. His research focuses on the interface of biomedical informatics and clinical ophthalmology in areas such as retinopathy of prematurity (ROP), telehealth, artificial intelligence, electronic health records, data science, and genotype-phenotype correlation. He is an Adjunct Investigator at the National Library of Medicine, and his group has published over 250 peer-reviewed papers and developed an assistive artificial intelligence system for ROP that received Breakthrough Status from the U.S. Food and Drug Administration.


Kerry Goetz, MS: Kerry Goetz is the Associate Director for the National Eye Institute’s Office of Data Science and Health Informatics. The office is responsible for advancing data management and sharing strategies to make NEI data FAIR (Fully AI-Ready & Findable, Accessible, Interoperable, and Reusable). For more than a decade, Ms. Goetz has been leading the eyeGENE  Program, a controlled access resource with data, samples, and a patient registry for rare eye conditions. She has implemented the sharing of several other clinical trial datasets through NEI BRICS, part of the NEI Data Commons. She has also been entrenched in standards development for more than 15 years. Ms. Goetz co-leads the Eye Care and Vision Research Observational Health Data Sciences and Informatics Working Group, is a member of the American Academy of Ophthalmology Standards Working Group, and also works to align imaging standards and health data to enable groundbreaking research.


Accommodations: If you need reasonable accommodations to participate in this event, please send an email with your request to the Office of Data Science and Health Informatics at neiodshi@nih.gov at least 3 days prior to the event.
 
For more information: Please contact the NEI Office of Data Science and Health Informatics at neiodshi@nih.gov

 

Details
Organizer
NEI
When
Mon, Apr 01, 2024 - 11:00 am - 12:00 pm
Where
Online
Getting Started with scRNA-Seq Seminar Series

Description

The Single Cell Analysis Facility (SCAF) is a CCR facility dedicated to the application of single-cell technologies in cancer research. Based on the NIH Bethesda main campus, SCAF aims to provide the broadest range of project support from consultation on experimental design, sequencing, and data analysis. Learn more about SCAF and the single-cell genomics technologies available to CCR investigators in this overview presentation. Read More

The Single Cell Analysis Facility (SCAF) is a CCR facility dedicated to the application of single-cell technologies in cancer research. Based on the NIH Bethesda main campus, SCAF aims to provide the broadest range of project support from consultation on experimental design, sequencing, and data analysis. Learn more about SCAF and the single-cell genomics technologies available to CCR investigators in this overview presentation. 

Register
Organizer
BTEP
When
Wed, Apr 03, 2024 - 1:00 pm - 2:00 pm
Where
Online Webinar
AI in Biomedical Research @ NIH Seminar Series

Description

Although generative artificial intelligence (AI), a’la ChatGPT, is receiving a lot of “attention” these days, there are many other options for using AI to support biomedical research.  In order to help analyze and interpret single cell genomics data, we have found that AI approaches that retain “explainability” are especially useful in providing functional insights into the underlying biological systems being studied, in this case, the human brain.Read More

Although generative artificial intelligence (AI), a’la ChatGPT, is receiving a lot of “attention” these days, there are many other options for using AI to support biomedical research.  In order to help analyze and interpret single cell genomics data, we have found that AI approaches that retain “explainability” are especially useful in providing functional insights into the underlying biological systems being studied, in this case, the human brain.

Alternative Meeting Information:  Meeting number: 2319 134 3591 Password: CAvtjHh*634 Join by video system Dial 23191343591@cbiit.webex.com You can also dial 173.243.2.68 and enter your meeting number. Join by phone 1-650-479-3207 Call-in number (US/Canada) Access code: 2319 134 3591  
Register
Organizer
BTEP
When
Thu, Apr 04, 2024 - 1:00 pm - 2:00 pm
Where
Online Webinar
Description

In this talk, we will cover what differentiates parametric and non-parametric statistics, tests/methods of both types for different data scenarios, when to use one vs. the other, and tradeoffs/pitfalls of each. This will be a hybrid event. 

This session will be recorded, and materials will be shared with attendees a few days after the event. For additional details and questions, please contact Natasha Pacheco (

In this talk, we will cover what differentiates parametric and non-parametric statistics, tests/methods of both types for different data scenarios, when to use one vs. the other, and tradeoffs/pitfalls of each. This will be a hybrid event. 

This session will be recorded, and materials will be shared with attendees a few days after the event. For additional details and questions, please contact Natasha Pacheco (natasha.pacheco@nih.gov), Advanced Biomedical Computational Science group, Frederick National Laboratory for Cancer Research.

 

Details
Organizer
BACS
When
Tue, Apr 09, 2024 - 12:00 pm - 1:00 pm
Where
Building 549 Executive Board Room, Frederick
Getting Started with scRNA-Seq Seminar Series

Description

Single cell RNA sequencing (scRNA-Seq) is becoming increasingly more common in biomedical research, but what is scRNA-Seq? How does it differ from other transcriptomic approaches (e.g., bulk RNA-Seq), and what are the potential applications, technologies, and workflows? This presentation will introduce learners to scRNA-Seq, answering the above and touching on additional topics such as methodological challenges, concerns, and best practices.  

Single cell RNA sequencing (scRNA-Seq) is becoming increasingly more common in biomedical research, but what is scRNA-Seq? How does it differ from other transcriptomic approaches (e.g., bulk RNA-Seq), and what are the potential applications, technologies, and workflows? This presentation will introduce learners to scRNA-Seq, answering the above and touching on additional topics such as methodological challenges, concerns, and best practices.  

Register
Organizer
BTEP
When
Wed, Apr 10, 2024 - 1:00 pm - 2:00 pm
Where
Online Webinar
Distinguished Speakers Seminar Series

Description

Informaticians aim to bring the right information to the forefront at the right time to improve decision-making. Dr. Greene's  lab develops computational methods that integrate distinct large-scale datasets to extract the rich and intrinsic information embedded in such integrated data. Dr. Greene will discuss how this can reveal underlying principles of an organism’s genetics, its environment, and its response to that environment. Dr. Greene will also discuss work in Read More

Informaticians aim to bring the right information to the forefront at the right time to improve decision-making. Dr. Greene's  lab develops computational methods that integrate distinct large-scale datasets to extract the rich and intrinsic information embedded in such integrated data. Dr. Greene will discuss how this can reveal underlying principles of an organism’s genetics, its environment, and its response to that environment. Dr. Greene will also discuss work in the CU Anschutz Center for Personalized Medicine that brings genetics to the point of care.

Alternative Meeting Information:  Meeting number: 2304 252 4992 Password: 7M6pV7UYw3* Join by video system Dial 23042524992@cbiit.webex.com You can also dial 173.243.2.68 and enter your meeting number. Join by phone 1-650-479-3207 Call-in number (US/Canada) Access code: 2304 252 4992  
Register
Organizer
BTEP
When
Thu, Apr 11, 2024 - 1:00 pm - 2:00 pm
Where
Online
Description

This session will outline the All of Us Researcher Workbench registration process for NIH researchers. Access to the Researcher Workbench is free, and all registered researchers are provided $300 initial computational credits. Some analyses in the cloud may incur additional costs beyond these credits. Attendees will also learn how to create a Google billing account in case they use up their initial credits. Finally, attendees will hear about funding opportunities that can support using the Read More

This session will outline the All of Us Researcher Workbench registration process for NIH researchers. Access to the Researcher Workbench is free, and all registered researchers are provided $300 initial computational credits. Some analyses in the cloud may incur additional costs beyond these credits. Attendees will also learn how to create a Google billing account in case they use up their initial credits. Finally, attendees will hear about funding opportunities that can support using the All of Us dataset. 

Presenter: Dr. Chris Lord is a project manager at Vanderbilt University Medical Center that primarily assists with research support for the Data and Research Center (DRC), focusing on the User Support Hub, featured workspaces, and creating support materials for users. Additionally, he assists with the Help Desk, office hours, and user communications. Before joining the DRC in 2022, he received his Ph.D. from UCSD in cell biology and then was a postdoctoral fellow and research assistant professor at Vanderbilt University.

This is the second of five sessions about NIH’s All of Us Research Program and Researcher Workbench. Attendees are encouraged, but not required, to attend all sessions. Register for additional sessions below: 

  • Session 3 - April 19: Diving into the Researcher Workbench Data
  • Session 4 - April 26: Introduction to Coding in the Researcher Workbench
  • Session 5 - May 3: Resources to Support Researchers

For questions about this webinar series, contact Cindy Sheffield, cynthia.sheffield@nih.gov

 

Details
Organizer
NIH Library
When
Fri, Apr 12, 2024 - 11:00 am - 12:00 pm
Where
Online
Getting Started with scRNA-Seq Seminar Series

Description

Kimia Dadkhah, bioinformatics analyst (SCAF), will talk about essential quality control metrics in single cell data analysis, how to interpret these and make informed decisions, and other considerations to keep in mind when assessing the quality of returned data from SCAF.  

Kimia Dadkhah, bioinformatics analyst (SCAF), will talk about essential quality control metrics in single cell data analysis, how to interpret these and make informed decisions, and other considerations to keep in mind when assessing the quality of returned data from SCAF.  

Register
Organizer
BTEP
When
Wed, Apr 17, 2024 - 1:00 pm - 2:00 pm
Where
Online Webinar
Description

In this webinar, attendees will learn the basics of using the All of Us Researcher Workbench’s point-and-click research tools, including how to create a workspace, how to build a cohort of All of Us participants using the Cohort Builder, and more. 

Presenter: Dr. Chris Lord is a project manager at Vanderbilt University Medical Center that primarily assists with research support for the Data and Research Center (DRC), Read More

In this webinar, attendees will learn the basics of using the All of Us Researcher Workbench’s point-and-click research tools, including how to create a workspace, how to build a cohort of All of Us participants using the Cohort Builder, and more. 

Presenter: Dr. Chris Lord is a project manager at Vanderbilt University Medical Center that primarily assists with research support for the Data and Research Center (DRC), focusing on the User Support Hub, featured workspaces, and creating support materials for users. Additionally, he assists with the Help Desk, office hours, and user communications. Before joining the DRC in 2022, he received his Ph.D. from UCSD in cell biology and then was a postdoctoral fellow and research assistant professor at Vanderbilt University.

This is the third of five sessions about NIH’s All of Us Research Program and Researcher Workbench. Attendees are encouraged, but not required, to attend all sessions. Register for additional sessions below: 

  • Session 4 - April 26: Introduction to Coding in the Researcher Workbench
  • Session 5 - May 3: Resources to Support Researchers

For questions about this webinar series, contact Cindy Sheffield, cynthia.sheffield@nih.gov

 

Details
Organizer
NIH Library
When
Fri, Apr 19, 2024 - 11:00 am - 12:00 pm
Where
Online
Description

Webinar attendees will hear tips and tricks to code efficiently in the Researcher Workbench using R and RStudio. Although Python and SAS are alternative programming languages available on the Researcher Workbench, this session will only focus on using R and RStudio. Participants should already have a general understanding of how to code in R prior to attending the session. This session will not cover the basics of coding in R.

Presenter:Read More

Webinar attendees will hear tips and tricks to code efficiently in the Researcher Workbench using R and RStudio. Although Python and SAS are alternative programming languages available on the Researcher Workbench, this session will only focus on using R and RStudio. Participants should already have a general understanding of how to code in R prior to attending the session. This session will not cover the basics of coding in R.

Presenter: Aymone Kouame is a Data Scientist at Vanderbilt University Medical Center. She leads the Data Science & Engineering efforts for Digital Health Technologies (Fitbit). She is involved in the back-end and front-end processes of the All of Us Researcher Workbench curated data repository, working closely with the Curation and the Research Support Teams. Aymone discovered her passion for Data Science after a few years working/studying in Business and Accounting. She holds Master Degrees of Science in Data Analytics, Information Systems, and Accounting and Business Management. Before VUMC, she worked on the Data Science team of a cyber security company.

This is the fourth of five sessions about NIH’s All of Us Research Program and Researcher Workbench. Attendees are encouraged to attend all sessions. Register for additional session below: 

  • Session 5 - May 3: Resources to Support Researchers

For questions about this webinar series, contact Cindy Sheffield, cynthia.sheffield@nih.gov

 

 

 

Details
Organizer
NIH Library
When
Fri, Apr 26, 2024 - 11:00 am - 12:00 pm
Where
Online

May

AI in Biomedical Research @ NIH Seminar Series

Description

The explosion of biomedical big data and information in the past decade or so has created new opportunities for discoveries to improve the treatment and prevention of human diseases. As such, the field of medicine is undergoing a paradigm shift driven by AI-powered analytical solutions. This talk delves into the convergence of AI and ChatGPT, highlighting their pivotal roles in revolutionizing biomedical discovery, patient care, diagnosis, treatment, and medical research. By demonstrating Read More

The explosion of biomedical big data and information in the past decade or so has created new opportunities for discoveries to improve the treatment and prevention of human diseases. As such, the field of medicine is undergoing a paradigm shift driven by AI-powered analytical solutions. This talk delves into the convergence of AI and ChatGPT, highlighting their pivotal roles in revolutionizing biomedical discovery, patient care, diagnosis, treatment, and medical research. By demonstrating their uses in some real-world applications such as improving PubMed searches (Fiorini et al., Nature Biotechnology 2018), supporting precision medicine (Allot et al., Nature Genetics 2023), and assisting patient trial matching, we underscore the potential of AI and ChatGPT in enhancing clinical decision-making, personalizing patient experiences, and accelerating knowledge discovery.

Alternative Meeting Information: Meeting number: 2300 950 8025 Password: qiQsnDx?923 Join by video system Dial 23009508025@cbiit.webex.com You can also dial 173.243.2.68 and enter your meeting number. Join by phone 1-650-479-3207 Call-in number (US/Canada) Access code: 2300 950 8025  
Register
Organizer
BTEP
When
Thu, May 02, 2024 - 1:00 pm - 2:00 pm
Where
Online Webinar
Description

Webinar attendees will learn how to use and navigate the All of Us Researcher Workbench’s User Support Hub, which provides video tutorials, help articles, and more. Attendees will also learn about opportunities to get support from the Researcher Workbench help desk and how to stay involved with the All of Us Research Program through the program’s network of partners. 

Presenters:

Rubin Baskir, Read More

Webinar attendees will learn how to use and navigate the All of Us Researcher Workbench’s User Support Hub, which provides video tutorials, help articles, and more. Attendees will also learn about opportunities to get support from the Researcher Workbench help desk and how to stay involved with the All of Us Research Program through the program’s network of partners. 

Presenters:

Rubin Baskir, Ph.D., Researcher Engagement and Outreach Branch Chief, All of Us Research Program
Rubin Baskir, Ph.D., is a Program Officer and the Researcher Engagement and Outreach Branch Chief within the NIH All of Us Research Program engagement team. He is excited to be working with a team that helps maintain the essential relationship between the program, participants, and community partners.  Prior to his current position, Baskir began working in the All of Us Research Program as part of an American Association for the Advancement of Science (AAAS) science and technology policy fellowship. His interest in health policy began during his graduate work at Vanderbilt University, where, in addition to researching mechanisms of disease and signal transduction, he gained an appreciation for the effects of policy on human health. Baskir received his doctorate in clinical and cellular biology from Vanderbilt University and his Bachelor’s degree in biology from Washington University in St. Louis.

Sydney McMaster, CHES, Program Officer, All of Us Research Program
As a passionate health equity advocate, Sydney McMaster has served as a Program Officer and Researcher Engagement Specialist for the NIH All of Us Research Program for over two years. In this role, she functions as a liaison between the researcher community and the national program, offering support and technical assistance to researchers interested in studying the program’s dataset. Prior to this role, Sydney served as a Public Health Analyst with the Health Resources and Services Administration (HRSA) for three years. As a previous participant in a pathways internship program with HRSA, Sydney is passionate about supporting equitable pathways for diverse professionals interested in research and public health careers. 

This is the fifth of five sessions about NIH’s All of Us Research Program and Researcher Workbench. Attendees are encouraged, but not required, to attend all sessions. 

For questions about this webinar series, contact Cindy Sheffield, cynthia.sheffield@nih.gov

 

 

 

Details
Organizer
NIH Library
When
Fri, May 03, 2024 - 11:00 am - 12:00 pm
Where
Online
Description

If you’re a researcher, clinician, informaticist, commercial partner, or policy maker interested in cancer data science, register to attend this Cancer Data Exchange Summit.

You’ll have the opportunity to hear (and take part in) discussions around current opportunities and challenges with the following topics:

  • How to use a patient’s data to determine their eligibility for clinical trials
  • How to identify Read More

If you’re a researcher, clinician, informaticist, commercial partner, or policy maker interested in cancer data science, register to attend this Cancer Data Exchange Summit.

You’ll have the opportunity to hear (and take part in) discussions around current opportunities and challenges with the following topics:

  • How to use a patient’s data to determine their eligibility for clinical trials
  • How to identify and develop data standards to detect immune-related adverse events
  • Ways to enhance the efficiency and timeliness of the collection of cancer registry data
  • Ways to support patient access, interoperability, and data sharing

You can also help identify cancer-specific elements; develop implementation guides; and define requirements to build large language models for extracting data.

The participant group will comprise researchers, clinicians, informatics/data scientists, patient advocates, standard-setting organizations (such as HL7/FHIR), policymakers, EHR vendors, and industry partners. Their collaborative efforts will focus on identifying current opportunities, challenges, and essential oncology-specific data requirements for the USCDI+ Cancer use cases (1) using real-world data to determine patient eligibility for clinical trials; (2) identifying immune-related adverse events; (3) enhancing the efficiency and timeliness of cancer registry data.

Details
Organizer
NCI
When
Wed, May 08 - Thu, May 09, 2024 -10:00 am - 5:00 pm
Where
NCI Shady Grove at 9609 Medical Center Drive, Rockville, MD 20850
Description

The NIH Artificial Intelligence (AI) Symposium will take place on Friday, May 17th, 2024, in Masur Auditorium in Building 10 on the Bethesda NIH campus. This event is open to all NIH members - registration and abstract submission are now open https://forms.microsoft.com/g/4WpdBXcEu6

Biomedical science is in a technological revolution, driven by innovations in deep learning architecture and computational power. These Read More

The NIH Artificial Intelligence (AI) Symposium will take place on Friday, May 17th, 2024, in Masur Auditorium in Building 10 on the Bethesda NIH campus. This event is open to all NIH members - registration and abstract submission are now open https://forms.microsoft.com/g/4WpdBXcEu6

Biomedical science is in a technological revolution, driven by innovations in deep learning architecture and computational power. These cutting-edge techniques are being applied to every sub-field of the biological sciences, and with ground-breaking advancements arriving constantly it is challenging for researchers to stay up to speed on what is possible. This one-day NIH AI Symposium will bring together researchers from a broad range of disciplines to share their AI-related research, with the goal of disseminating the newest AI research, providing an opportunity to network, and to cross-pollinate ideas across disciplines in order to advance AI research in biomedicine.

Keynote speakers James Zou, Ph.D. (Stanford University) and Hari Shroff, Ph.D. (Janelia Research Campus) will share their research, and also participate in a Panel Discussion on the current and future potential of AI in biomedical sciences. There will also be short talks and posters from researchers on campus who are developing or using AI approaches.

The NIH AI Symposium is sponsored by NHLBI, in partnership with FAES. Registration and abstract submission are open to all NIH members, including experts in AI-related fields and novices interested in gaining more exposure.

Important dates:

March 15th - Abstract submission deadline

April 5th - Abstract notifications

May 3rd – Registration deadline

Sign language interpreting and CART services are available upon request to participate in this event. Individuals needing either of these services and/or other reasonable accommodations should contact Ryan O’Neill (oneillrs@nih.gov).

Questions can be directed to Lead Organizer Ryan O’Neill, Ph.D. (oneillrs@nih.gov).

Details
Organizer
NHLBI
When
Fri, May 17, 2024 - 9:00 am - 5:30 pm
Where
Main NIH Campus, Building 10 (Clinical Center); Masur Auditorium
Distinguished Speakers Seminar Series

Description

An exciting opportunity at the intersection of the biomedical sciences and machine learning stems from the growing availability of large-scale multi-modal data (imaging-based and sequencing-based, observational and perturbational, at the single-cell level, tissue-level, and organism-level). Traditional representation learning methods, although often highly successful in predictive tasks, do not generally elucidate underlying causal mechanisms. Dr. Uhler will present initial ideas towards building a statistical and computational framework for causal representation learning and its applications towards Read More

An exciting opportunity at the intersection of the biomedical sciences and machine learning stems from the growing availability of large-scale multi-modal data (imaging-based and sequencing-based, observational and perturbational, at the single-cell level, tissue-level, and organism-level). Traditional representation learning methods, although often highly successful in predictive tasks, do not generally elucidate underlying causal mechanisms. Dr. Uhler will present initial ideas towards building a statistical and computational framework for causal representation learning and its applications towards identifying novel disease biomarkers as well as inferring gene regulation in health and disease.

Alternative Meeting Information: Meeting number: 2312 523 4308 Password: rgE4DbPX$65 Join by video system Dial 23125234308@cbiit.webex.com You can also dial 173.243.2.68 and enter your meeting number. Join by phone 1-650-479-3207 Call-in number (US/Canada) Access code: 2312 523 4308  
Register
Organizer
BTEP
When
Thu, May 23, 2024 - 1:00 pm - 2:00 pm
Where
Online Webinar
Description

NCI is launching the virtual Cancer AI Conversations series featuring multiple perspectives on timely topics and themes in artificial intelligence for cancer research! 

Each event features short talks from 2-4 subject matter experts offering diverse views on the session topic. These talks will be followed by a moderated panel discussion.

“Cancer AI Conversations” are bimonthly, 1-hour virtual events featuring timely topics related to the application Read More

NCI is launching the virtual Cancer AI Conversations series featuring multiple perspectives on timely topics and themes in artificial intelligence for cancer research! 

Each event features short talks from 2-4 subject matter experts offering diverse views on the session topic. These talks will be followed by a moderated panel discussion.

“Cancer AI Conversations” are bimonthly, 1-hour virtual events featuring timely topics related to the application of artificial intelligence in cancer research. Each event features short talks from 2-4 subject matter experts offering diverse perspectives on the session topic. 

All of the Cancer AI Conversations will be recorded and posted for future viewing.

Details
Organizer
NCI
When
Tue, May 28, 2024 - 11:00 am - 12:00 pm
Where
Online