Supported by CCR Office of Science and Technology Resources (OSTR)
ncibtep@nih.gov

Bioinformatics Training and Education Program

Featured

Upcoming Classes & Events

March

Description

This class is designed for those who want to extend the basics covered in the Introduction to Quarto for Scholarly Publishing to Formatting class. This class uses Quarto to render formatted citations and bibliographies included in a journal article, report, or presentation.  This class also discusses the Zotero API, which is supported in RStudio. Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, Read More

This class is designed for those who want to extend the basics covered in the Introduction to Quarto for Scholarly Publishing to Formatting class. This class uses Quarto to render formatted citations and bibliographies included in a journal article, report, or presentation.  This class also discusses the Zotero API, which is supported in RStudio. Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, and share research. This class also covers exporting citations from Endnote in a format supported by Quarto. EndNote is a software package which is designed to help you to organize citations and create a bibliography. The current version of EndNote available from the NIH Library is Endnote 21. 

You must have taken Introduction to Quarto for Scholarly Publishing to be successful in this class.

Upon completion of this class participants should be able to link RStudio to Zotero, create a bibliography and link it to a markdown document, insert citations using RStudio Visual Interface, and via the command line, and download and link a CSL file which specifies the formatting to use when generating the citations and bibliography.

Details
Organizer
NIH Library
When
Tue, Mar 19, 2024 - 1:00 pm - 2:00 pm
Where
Online
Description

Vinton “Vint” Cerf, Ph.D., is the special guest for the 2024 J. Edward Rall Cultural Lecture, The Promises and Perils of AI in Biomedical Research and Health Care Delivery. Dr. Cerf is known as one of the “fathers of the internet” and currently serves as vice president and Chief Internet Evangelist for Google. NIH Director Dr. Monica Bertagnolli will hold a conversation with Dr. Cerf about AI and machine learning, Read More

Vinton “Vint” Cerf, Ph.D., is the special guest for the 2024 J. Edward Rall Cultural Lecture, The Promises and Perils of AI in Biomedical Research and Health Care Delivery. Dr. Cerf is known as one of the “fathers of the internet” and currently serves as vice president and Chief Internet Evangelist for Google. NIH Director Dr. Monica Bertagnolli will hold a conversation with Dr. Cerf about AI and machine learning, especially as it relates to her vision for delivering evidence-based care to all people and invite him to respond to questions from NIH staff submitted in advance on the lecture topic. Vint Cerf and his collaborator Robert Kahn received the U.S. National Medal of Technology from President Clinton in 1997 for founding and developing the internet. Dr. Cerf later received the Presidential Medal of Freedom from President George W. Bush, the Marconi Prize, and the Turing Award, among many other awards. He is a thought leader and a public face in the internet world for Google, where he contributes to global policy development and continued standardization of the internet. Long a champion of internet neutrality and full accessibility, Cerf in recent years has voiced his concern about and has proposed possible solutions to combat dangers such as the long-term durability of digital storage, the spread of misinformation, and rapid growth of AI. The Rall Cultural Lecture is named in honor of Dr. Joseph "Ed" Rall, who helped to define NIH's modern intramural research program and establish a stable academic-like and culturally rich community within a rapidly expanding government agency.

You will be able to view this event at https://videocast.nih.gov/ on the day of the event.

Details
Organizer
NIH -OIR
When
Tue, Mar 19, 2024 - 1:30 pm - 2:30 pm
Where
Main NIH Campus, Building 10 (Clinical Center); Masur Auditorium
Description

Dear Colleagues,

 

Read More

Dear Colleagues,

 

cBioPortal is an open-access resource for interactive exploration of multidimensional cancer genomics data sets, currently providing access to data from >200,000 tumor samples collected from >400 published cancer studies.

 

This webinar will explore cBioPortal and how it facilitates access to cancer genomic data sets for the entire biomedical community. It provides a simple yet flexible interface to integrated data sets, intuitive visualization options, and a programmatic web interface, all of which can aid researchers in translating cancer genomic data into biologic insights and potential clinical applications.

 

Presenters: Ino de Bruijn and Ritika Kundra, Bioinformatics Software Engineers from Memorial Sloan Kettering Cancer Center

 

For questions, contact Daoud Meerzaman or Kayla Strauss.

Details
Organizer
CBIIT
When
Wed, Mar 20, 2024 - 10:00 am - 11:00 am
Where
Online
Description

Meeting number (access code): 2303 344 1474
Meeting password: 2K9AfEmfN@2

Meeting number (access code): 2303 344 1474
Meeting password: 2K9AfEmfN@2

Details
Organizer
Containers and Workflow Interest Group (CWIG)
When
Wed, Mar 20, 2024 - 11:00 am - 12:00 pm
Where
Online
Description

Geneious Prime is a comprehensive software suite of molecular biology and NGS analysis tools. In this presentation, a Field Application Scientist with Geneious Prime, Dr. Evan Starr will discuss a general introduction to the software and then cover NGS mapping and de novo assembly, variant calling, RNA-Seq, and handling large datasets. More information can be found at geneious.com.

Geneious Prime is a comprehensive software suite of molecular biology and NGS analysis tools. In this presentation, a Field Application Scientist with Geneious Prime, Dr. Evan Starr will discuss a general introduction to the software and then cover NGS mapping and de novo assembly, variant calling, RNA-Seq, and handling large datasets. More information can be found at geneious.com.

Register
Organizer
BTEP
When
Wed, Mar 20, 2024 - 1:00 pm - 2:00 pm
Where
Online
AI in Biomedical Research @ NIH Seminar Series

Description

Context-aware AI implemented to facilitate data discovery and harmonization has significantly accelerated some of the common bottlenecks in the collaborative research process. Pilot work has shows major time and cost savings compared to current completely manual processes.

Alternative Meeting Information: Meeting number: 2314 904 4579 Password: MRdP4sWN?63 Join by video system Dial 23149044579@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 Read More

Context-aware AI implemented to facilitate data discovery and harmonization has significantly accelerated some of the common bottlenecks in the collaborative research process. Pilot work has shows major time and cost savings compared to current completely manual processes.

Alternative Meeting Information: Meeting number: 2314 904 4579 Password: MRdP4sWN?63 Join by video system Dial 23149044579@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: 2314 904 4579  
Register
Organizer
BTEP
When
Thu, Mar 21, 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, Mar 26, 2024 - 11:00 am - 12:00 pm
Where
Online Webinar
Description

In this session, we will discuss the potential of GPUs, and when and why to use GPUs on the Frederick Research Computing Environment (FRCE). We will explore the possibilities of GPU-accelerated AI applications and interactive sessions on FRCE to maximize GPU utilization. This session is geared towards beginners.

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

In this session, we will discuss the potential of GPUs, and when and why to use GPUs on the Frederick Research Computing Environment (FRCE). We will explore the possibilities of GPU-accelerated AI applications and interactive sessions on FRCE to maximize GPU utilization. This session is geared towards beginners.

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

 

Details
Organizer
Bioinformatics and Computational Science (BACS)
When
Tue, Mar 26, 2024 - 12:00 pm - 1:00 pm
Where
Building 549 Executive Board Room, Frederick
Description

On Wednesday, March 27th, at 9:00 a.m., in Building 37, Room 4041/4107, and online. In-person attendance is encouraged. 


Dr. Khan is the Deputy Chief of the Genetics Branch and Head of the Oncogenomics Section, where he has established a translational genomics program over the past 22 years. The mission of his section is to harness the power of high throughput omics methods to interrogate the genomes of germline and tumors of children with Read More

On Wednesday, March 27th, at 9:00 a.m., in Building 37, Room 4041/4107, and online. In-person attendance is encouraged. 


Dr. Khan is the Deputy Chief of the Genetics Branch and Head of the Oncogenomics Section, where he has established a translational genomics program over the past 22 years. The mission of his section is to harness the power of high throughput omics methods to interrogate the genomes of germline and tumors of children with high-risk, refractory, and recurrent cancers. The goals are to decipher the biology of these cancers, to identify and validate biomarkers and novel therapeutic targets, and to translate our findings to the clinic.


For those unable to attend in person, this seminar will also be available via WebEx. See below for the WebEx link. For additional information on this seminar, please contact Katie Tipton at katie.tipton2@nih.gov.

Join by meeting number
Meeting number (access code): 2305 136 9232
Meeting password: XmyXuP99g$2

Details
Organizer
CCR
When
Wed, Mar 27, 2024 - 9:00 am - 10:00 am
Where
Building 37, Room 4041/4107
Coding Club Seminar Series

Description

DAVID (the Database for Annotation, Visualization and Integrated Discovery) provides a comprehensive set of functional annotation tools for investigators to understand the biological meaning behind large lists of genes acquired from high-throughput assays such as RNA-Seq, Proteomics, Microarray, etc.  In this BTEP Coding Club session, developers from DAVID (Weizhong Chang and Brad Sherman) will give an overview of DAVID and provide training on key tools including functional annotation tools (table, chart, and clustering), gene Read More

DAVID (the Database for Annotation, Visualization and Integrated Discovery) provides a comprehensive set of functional annotation tools for investigators to understand the biological meaning behind large lists of genes acquired from high-throughput assays such as RNA-Seq, Proteomics, Microarray, etc.  In this BTEP Coding Club session, developers from DAVID (Weizhong Chang and Brad Sherman) will give an overview of DAVID and provide training on key tools including functional annotation tools (table, chart, and clustering), gene functional classification, gene ID conversion, gene name batch viewer, and the newly developed ortholog conversion tool.

Register
Organizer
BTEP
When
Wed, Mar 27, 2024 - 11:00 am - 12:00 pm
Where
Online Webinar
Description

This half-day, virtual workshop features representatives from NCI cancer data cloud resources, including the NCI Cancer Research Data Commons (CRDC), Institute for Systems Biology Cancer Gateway in the Cloud (ISB-CGC), and Read More

This half-day, virtual workshop features representatives from NCI cancer data cloud resources, including the NCI Cancer Research Data Commons (CRDC), Institute for Systems Biology Cancer Gateway in the Cloud (ISB-CGC), and Cancer Genomics Cloud (CGC)/SevenBridges.

While each of these cloud resources contains cancer research data and tools for data analysis and visualization, they differ in the data sets, methods, and workflows available. Following an introduction to the CRDC, the ISB-CGC and CGC/SevenBridges platforms will be discussed and demonstrated.

Registration: https://cbiit.webex.com/weblink/register/r50df6ddbea64638857b6e0dabd1f0cc4

Agenda: https://bioinformatics.ccr.cancer.gov/NCIBioinformaticsCommunity/introduction-to-nci-cancer-cloud-resources/    
Details
Organizer
NCI Bioinformatics Community
When
Wed, Mar 27, 2024 - 1:00 pm - 3:00 pm
Where
Online Webinar
Description

Join John McCulloch and colleagues from the NCI Laboratory of Integrative Cancer Immunology - Microbiome and Genetics Core (LICI-MGC) in an introduction to JAMS, a comprehensive software package for microbial sequencing analysis (microbiomes and isolate genomes), which caters to all steps within a microbiome project analysis. With a few one-liners, the JAMS package will automatically generate an R image from which a panoply Read More

Join John McCulloch and colleagues from the NCI Laboratory of Integrative Cancer Immunology - Microbiome and Genetics Core (LICI-MGC) in an introduction to JAMS, a comprehensive software package for microbial sequencing analysis (microbiomes and isolate genomes), which caters to all steps within a microbiome project analysis. With a few one-liners, the JAMS package will automatically generate an R image from which a panoply of different plots and statistics can be obtained by applying any of several highly customizable plotting functions guaranteeing painless, accurate and useful publication-quality graphs.

Register
Organizer
BTEP
When
Thu, Mar 28, 2024 - 1:00 pm - 2:00 pm
Where
Online Webinar
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 1 - March 29: Introduction to the All of Us Research Program and Research Hub
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
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
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

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

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  
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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