Search Results for: Machine learning

04/09/2025 - Dr. Aristotelis Tsirigos will present a seminar titled "Investigating the role of 3D chromatin in gene regulation using data integration and machine learning" for the LRBGE Seminar Series.

05/22/2024 - Please join us on Wednesday, May 22, 2024, when Dr. Elham Azizi from Columbia University will present "Machine Learning Dynamics in the Tumor Microenvironment." The presentation starts at 11:00 a.m. ET and ends at Read More...

01/21/2022 - Artificial Intelligence (AI) and Machine Learning (ML) are hot topics today, but are already part of our everyday lives. This class will introduce the basic principles of AI and ML and the current state Read More...

03/24/2021 - Register Artificial Intelligence (AI) and Machine Learning (ML) are hot topics today, but are already part of our everyday lives. This class will introduce the basic principles of AI and ML and the current Read More...

11/18/2020 - Artificial Intelligence (AI) and Machine Learning (ML) are hot topics today, but are already part of our everyday lives. This class will introduce the basic principles of AI and ML and the current state Read More...

09/21/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

08/15/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

07/20/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

06/21/2023 - Picture this… You have large amounts of siloed medical imaging data, but you don’t have the time or budget to manually prepare the images and datasets for annotation and analysis. Don’t you Read More...

11/18/2022 - The Medical Rehabilitation Research Speaker Series provides an opportunity for selected NCMRR and NIH rehabilitation research grantees to share their research with colleagues from rehabilitation-related and other fields. This fourth session features NCMRR grantees Read More...

04/13/2021 - Workshop Registration Dear NIH colleagues, You are invited to participate in the Machine Learning in Genomics: Tools, Resources, Clinical Applications, and Ethics Workshop , held virtually on Tuesday, April 13 – Wednesday, April 14, 2021. Information about the agenda, Read More...

02/22/2021 - coming Monday we'll be having a guest lecture by Dr. Jian Peng from UIUC. Abstract: Recent advances in functional genomics have enabled large-scale measurements of molecular interactions, functional activities, and the impact of Read More...

06/13/2024 - The schedule for this week consists of one presentation: Lorenz Adlung, UMC Hamburg-Eppendorf, will discuss: scMod: Marrying machine learning and deterministic modelling of longitudinal single-cell data Single-cell-based methods such as flow cytometry or single-cell Read More...

The recommended method involves applying a scikit-learn multinomial naive Bayes classifier. This uses machine learning to train a classifier on a referene database and then use the trained classifier to classify your ASVs. These classifiers Read More...

09/15/2022 - In partnership with the National Cancer Institute (NCI) Cancer Moonshot SM , the Society for Immunotherapy of Cancer (SITC) and the  Big Data and Data Sharing Committee  are excited to announce our second " SITC-NCI Read More...

12/03/2021 - *** This seminar is open to the public, but registration is required. Recent genomic and imaging technologies that measure features at the resolution of single cells present exciting opportunities to characterize diverse immune cell states Read More...

08/21/2020 - Abstract: Machine learning (ML) has emerged as an essential tool for building models which can be used to predict clinical outcomes for age-related diseases. A significant challenge of ML is knowing which algorithms and Read More...

06/06/2022 - Join the June NCI Imaging and Informatics Community Webinar for a discussion on the recent contributions from Dr. Mirabela Rusu’s Personalized Integrative Medicine Laboratory (PIMed) at Stanford University. Recent laboratory contributions include: registering Read More...

05/19/2025 - Immunotherapy has the potential to revolutionize the way we treat cancer, but a key challenge has been finding ways to tailor that therapy to the right patient at the right time. Attend this webinar, Read More...

03/24/2025 - AI Club is a weekly meeting that explores various topics relating to AI and deep learning in biomedical sciences, typically in a seminar, workshop, or journal club format. AI Club is intended to be Read More...

05/27/2021 - Register Now Faculty:   Shannon McWeeney, PhD – Oregon Health & Science University; NCI Cancer Moonshot DRSN Moderator:   Santosh Putta, PhD Target Audience This series will serve as an excellent resource for all stakeholders interested Read More...

12/12/2023 - Dr. Anant Madabhushi and his team have been developing computerized knowledge alignment, representation, and fusion tools for integrating and correlating heterogeneous biological data spanning different spatial and temporal scales, modalities, and functionalities. These tools Read More...

09/23/2021 - Registration: https://btep.ccr.cancer.gov/classes/ai_four/ Meeting Link: https://cbiit.webex.com/cbiit/j.php?MTID=m5fa0e43ae167ed5ea3a77fb25d339a82 Description: In this talk, we Read More...

09/23/2021 - Meeting Link: https://cbiit.webex.com/cbiit/j.php?MTID=m5fa0e43ae167ed5ea3a77fb25d339a82 TOPIC: AI for Multimodal Data, presented by members of the Strategic Data Science Initiative, Read More...

09/14/2021 - The workshop focuses on using the Atom Modeling PipeLine (AMPL), an open-source conda-based software that automates key drug discovery steps. AMPL is designed to take molecular binding data (IC50, ki) and carry out the Read More...

01/14/2021 - Please plan to attend the Earl Stadtman Investigator Program search seminar by: Noam Auslander, Ph.D. National Center for Biotechnology Information (NCBI), NIH Dr. Auslander's research focus is on designing techniques that make Read More...

01/31/2020 -

01/13/2020 - Debra S. Marks, PhD Principal Investigator Associate Professor, Harvard Medical School

05/28/2024 - 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 Read More...

03/26/2024 - 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 Read More...

Our Team Tatiana S. Karpova Ph.D.Core Headkarpovat@nih.govBuilding 41, Room C615240-760-6637 David A. Ball Ph.D.Core Biologistballa@nih.govBuilding 41, Room B114D240-760-6577 Mohamadreza Fazel, Ph.D.Core Biologistmohamadreza. Read More...

05/01/2025 - In this webinar, the participants will learn about application of machine learning methods, specifically geared towards predicting the toxicity of target molecules. They will gain insights into various machine learning techniques, fostering a comprehensive Read More...

03/12/2024 - In this webinar, the participants will learn about application of machine learning methods, specifically geared towards predicting the toxicity of target molecules. They will gain insights into various machine learning techniques, fostering a comprehensive Read More...

Please see https://bioinformatics.ccr.cancer.gov/btep/self-learning/ to sign up for a license. Contact ncibtep@nih.gov with any questions about obtaining a license. Did you know that CCR researchers have access to Read More...

05/28/2024 - Frederick Research Computing Environment (FRCE) and Computational Sciences Series In this session, we will explore how machine learning can be used to analyze whole slide pathological images (WSIs). We will showcase how to utilize Read More...

05/14/2024 - Participants will learn how to develop artificial intelligence (AI) applications using MATLAB, even if they do not have a formal background in machine and deep learning. The goal of this course is to introduce Read More...

Citation: Patkar S, et al. American Journal of Pathology 2023 Code Availability: https://github.com/spatkar94/adversarialdogs.git

03/19/2025 - This one hour and a half online training provides an accessible introduction to artificial intelligence (AI) using MATLAB. Designed for beginners, the session covers fundamental concepts in AI and machine learning, introduces intuitive tools Read More...

09/04/2024 - This one-hour session will introduce attendees to the world of Artificial Intelligence (AI) as we explore the fundamentals, applications, and ethical considerations of this transformative technology. Key topics will include machine learning, deep learning, Read More...

05/29/2024 - Dear Colleagues,   As machine learning permeates across biomedical research, achieving optimal accuracy demands more than just model deployment.  Join us for a webinar where we explore post-processing techniques designed to Read More...

05/08/2024 - This one-hour session will introduce attendees to the world of Artificial Intelligence (AI) as we explore the fundamentals, applications, and ethical considerations of this transformative technology. Key topics will include machine learning, deep learning, Read More...

Citation: Belue M, et al. Academic Radiology 2024 Code Availability: https://github.com/NIH-MIP/Prostate-MRI_T2W_Quality

Citation: Mehralivand S, et al. Academic Radiology 2022 Code Availability: https://github.com/Project-MONAI/research-contributions/tree/main/prostate-mri-lesion-seg

Citation: Lay NS et al. Medical Physics 2023 Code Availability: https://github.com/ NIH-MIP/WSI_LungTumorSeg

September 8, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...

05/28/2025 - This one-hour online training will cover the fundamentals, applications, and ethical considerations of Artificial Intelligence (AI). Attendees will explore key topics such as machine learning, deep learning, data handling, and real-world AI applications across Read More...

04/23/2025 - Dr. Ruppin's research is focused on multi-disciplinary, algorithmic, computationally driven analysis of large-scale biomedical omics and clinical data, with an emphasis on AI and machine / deep learning approaches. Overall, it centers on three Read More...

03/17/2025 - Skylar Chan and Nikhil Mattu will present on the FDA recently approved 'loss of pulse detection' for Google Pixel Watch 3, which can call emergency medical services if the wearer loses their pulse and becomes Read More...

03/11/2025 - Clustering is an unsupervised machine learning technique that groups together similar objects (samples, individuals, etc.). Determining the similarity between objects requires a distance metric. This talk provides a brief overview of distance metrics, hierarchical ( Read More...

01/15/2025 - This one-hour online training will cover the fundamentals, applications, and ethical considerations of Artificial Intelligence (AI). Attendees will explore key topics such as machine learning, deep learning, data handling, and real-world AI applications across Read More...

10/10/2024 - Digital Pathology has advanced significantly in the past decade, evolving beyond assisting pathologists to now informing molecular and genetic properties of tumors. Recent breakthroughs in machine learning and AI, particularly in big data and Read More...

05/23/2024 - 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 Read More...

The Advanced Biomedical Computational Sciences (ABCS) group provides technology development, scientific consultation, collaboration and training, research, software development, and high-performance computing support. ABCS encompasses specialized groups focusing on machine learning applied to the interpretation of 2 Read More...

Gianluca Pegoraro, PhD gianluca.pegoraro@nih.gov Facility Head 240-760-6696 Bldg. 41, Room B909 Dr. Pegoraro received his Ph.D. in Molecular Genetics from the International School of Superior Studies in Trieste, Italy in 2004. After Read More...

2024 Date: Tuesday, October 15, 2024 Time and Location: 11 am EST, ZOOM (INVITATION BY LMIG LIST SERVER) Speaker: Dr. Diego Presman (U Buenos Aires) Title: “Insights on Glucocorticoid Receptor Activity Through Live Cell Imaging” Summary: Eucaryotic transcription factors ( Read More...

09/09/2025 - Join&nb p;the National Heart, Lung, and Blood In titute (NHLBI)&nb p;for a hybrid work hop to explore how medicine will be tran formed by the current artificial intelligence ( Read More...

07/23/2025 - This presentation will explore the next emerging stage where biobanking is characterised by being part of system - Biobanking 4.0. Biobanking has always been about data generation with tissue specimens providing the biological and genomic Read More...

05/16/2025 - This one-day in-person 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 Read More...

03/12/2025 - Clustering is one of the fundamental unsupervised machine learning algorithms. It is often used to group quantitative proteomic or RNAseq expression data to suggest sub-types of a particular cancer. This presentation covers building a Read More...

12/04/2024 - Galaxy is a web-based computational workbench for analyzing and visualizing biomedical datasets that is used by thousands of scientists daily.   Galaxy enables accessible, reproducible, and scalable biomedical data science by any scientist Read More...

11/21/2024 - Join this webinar to gain insights from Dr. Qi Long, who will explore how LLMs offer a promising solution to data issues, especially those stemming from incomplete information.   Dr. Long will share his team' Read More...

11/14/2024 - The accessibility of artificial intelligence/machine learning (AI/ML) tools has taken off in recent years. This democratization of advanced analytics has the potential to revolutionize predictive toxicology, especially for applications that generate massive, Read More...

11/07/2024 - In the era of renewed space exploration, understanding female health risks during spaceflight is essential. This talk focuses on leveraging NIAID's ImmPort and NASA's GeneLab data using computational and systems biology to Read More...

10/17/2024 - Please join us on Thursday for our third talk in the Biowulf 25th Anniversary Seminar Series: Explorations in use of Synthetic Images for Biomedical ML/AI Research This talk will be videocast at: https:// Read More...

09/16/2024 - This 45-minute online training will provide an overview of  NanCI by the National Cancer Institute (NCI) , a new mobile application that uses machine learning algorithms to match users’ interests and Read More...

09/11/2024 - Qlucore Omics Explorer is a point-and-click package available to NCI CCR scientists that enables visualization-based analysis of multi-omics data including RNA-seq, scRNA-seq, proteomics, metabolomics, as well as enabling the use of machine learning classification Read More...

08/08/2024 - The Elemento lab combines Big Data analytics with experimentation to develop entirely new ways to help prevent, diagnose, understand, treat and ultimately cure disease. Our research involves routine use of ultrafast DNA sequencing, proteomics, Read More...

06/27/2024 - During this presentation, you will learn about the GenePattern ecosystem, an environment for accessible, reproducible research that has been serving the needs of the cancer genomics community since 2004. GenePattern hosts hundreds of genomics analysis Read More...

06/12/2024 - Please join us on Wednesday, June 12, 2024, when Aaron Y. Lee, M.D., M.S.C.I., will present "The Current State of Transparency for AI Models and Datasets." The presentation starts at 11:00 Read More...

05/08/2024 - Qlucore Omics Explorer is a point-and-click software that enables analysis of RNA sequencing (bulk and single cell), proteomics and metabolomics data. It’s machine learning capabilities also allow for classification of cell types. This Read More...

04/21/2024 - Looking for an introduction to artificial intelligence (AI) or an opportunity to expand on what you already know? Attend this workshop hosted by the NIH-funded Bridge2AI CHoRUS network and the University of Florida Read More...

NCI scientists have many choices available to them for bioinformatic analyses of Next Generation Sequencing (NGS) data. While some require expertise in programming, others provide a more user-friendly, point-and-click interface. These options include programs for Read More...

10/03/2023 - Presented as part of the Sequencing Strategies for Population and Cancer Epidemiology Studies (SeqSPACE) Webinar Series Dr. Kushal Dey is an Assistant Member and Josie Robertson Investigator in the Department of Computational and Systems Read More...

R Programming Data Visualization (Base R and ggplot2) additional packages that enhance these, especially for -omics data More packages for data science / bioinformatics Bioconductor Report generation R Markdown Quarto more popular among scientists and academics ( Read More...

Bash Most of bioinformatics can be done by understanding specific software applications and running those applications in a pipeline, usually using some form of bash scripting. Bash as a scripting language is fairly important for Read More...

Bash Most of bioinformatics can be done by understanding specific software applications and running those applications in a pipeline, usually using some form of bash scripting. Bash as a scripting language is fairly important for Read More...

:::: {.columns} ::: {.column width="50%"} R Programming Data Visualization (Base R and ggplot2) additional packages that enhance these, especially for -omics data More packages for data science / bioinformatics Bioconductor Report generation R Markdown Quarto more Read More...

No summary available.

The NIH Biowulf Cluster provides researchers with a world-class system to assist in solving complex biomedical problems as diverse as gene variation in worldwide human populations, deep learning to model protein structures, and PET brain Read More...

The Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative The STRIDES Initiative aims to help NIH and its institutes, centers, and offices (ICOs) accelerate biomedical research by reducing barriers in utilizing Read More...

Bruker AVANCE 400 and 500 MHz NMR instruments. Helium Cryoprobe technology on the 500 MHz machine for added sensitivity, especially for Carbon-13 spectra. Access to a second 500 MHz instrument with Prodigy Liquid Nitrogen-cooled cryoprobe. User Accounts can be Read More...

CCR VOLUME Electron Microscopy (CVEM) aims to develop new techniques in volume electron microscopy (vEM) and, in collaboration with CCR Investigators, apply these techniques to research cell biological questions well-suited for study by high-resolution 3D Read More...

Radiation Oncology Branch is part of CCR. Bioinformatics core is a collaborative resource to support ROB branch and provide service to ROB investigators from NCI and other Institutes access to new technologies, bioinformatics, statistical analysis Read More...

CREx News & Updates September 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGLIGHTS Learn more about services from the CCR Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New Resources on CREx Interested in imaging large scale biological samples?  Volume electron microscopy allows for Read More...

Image Analysis Signals Imaging Artist Next generation image analysis and management platform for high-content screening and cell imaging data. Quickly process, analyze, share, and store the vast volumes of data. Cell Profiler CellProfiler is free, Read More...

The Advanced Biomedical Computational Science (ABCS) group focuses on applications of bioinformatics, computational and data science, and artificial intelligence to support NCI researchers. ABCS provides: • Subject matter expertise in genomics, proteomics, and imaging. • Machine learning/ Read More...

03/19/2024 - 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. Read More...

Course Overview Welcome to the R Introductory Series! A series of introductory lessons in R for scientists. This course will include a series of lessons for individuals new to R or with limited R experience . Read More...

Lesson 4: Feature table filtering, taxonomic classification, and phylogeny Learning objectives learn how to apply different types of filtering to your ASV table and representative sequence data. classify your ASVs. Generate a phylogenetic tree. Now that Read More...

10/13/2023 - Zhiyong Lu, Ph.D. will present AI in Medicine: Improving Access to Literature Data for Knowledge Discovery at the monthly Data Sharing and Reuse Seminar.  The explosion of biomedical big data and Read More...

Lesson 1: Introduction to Unix and the Shell Lesson Objectives Review the course syllabus and general structure of lessons to come. Introduce Unix and describe how it differs from other operating systems. Introduce and get set Read More...

Lesson 1: Introduction to Unix and the Shell Lesson Objectives Course overview. Introduce Unix and describe how it differs from other operating systems. Introduce and get set up on DNAnexus and the GOLD system. Discuss ways Read More...

Lesson 17: RNA sequencing review 2 Learning objectives This lesson will serve as comprehensive review of Module 2. We will spend roughly the first hour reviewing the Module 2 material the second hour answering specific questions from the poll Read More...

Lesson 2: Getting Started with R on Biowulf Learning objectives Understand how R can be deployed on Biowulf Understand how to access and use R modules Learn to create a custom R library on Biowulf Deploying Read More...

Learning Objectives Learn about popular programming languagues in bioinformatics Compare advantages and disadvantages of Python and R Discuss what you will need to learn to use these languages Discuss learning resources Choosing a programming language Read More...

Our operational objectives are to provide state-of-the-art OMICS technologies in support of the Genetics Branch (GB) investigators and collaborators. Research Services Wet Lab Single cell isolation from fresh, frozen, and FFPE tissue, DNA/RNA extractions Read More...

CREx News & Updates June 2021 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGHLIGHTS Visit here to learn about services from Read More...

The Staff Scientists/Clinicians (SSSC) Technical Enrichment Program (STEP) was established to provide SSSC’s an opportunity to compete for funding to gain comprehensive training in state-of-the-art techniques available through CCR Cores and Facilities. The Read More...

The Department of Laboratory Medicine provides state-of-the-art laboratory testing in support of Clinical Center patient care and will serve as a center of excellence in research and training in laboratory medicine, particularly in areas which Read More...

The NCI High-Throughput Imaging Facility (HiTIF) works in a collaborative fashion with NCI/NIH Investigators by providing them with the necessary expertise, instrumentation, and software to develop and execute advanced High-Throughput Imaging (HTI) assays. These Read More...

The Neurorehabilitation and Biomechanics Research Section (also referred to as the NAB LAB) is a multidisciplinary group of highly qualified scientists, clinical and technical staff, and trainees with diverse backgrounds including medical, physical therapy, neuroscience Read More...

The introduction of DNA sequencing instruments capable of producing millions of DNA sequence reads in a single run has profoundly altered the landscape of genetics and cancer biology. Complex questions can now be answered at Read More...

The computational chemistry and protein modeling team in the Advanced Biomedical Computational Science (ABCS) group provides novel solutions in structural modeling and computational chemistry. Computational scientists in the group collaborate with NCI researchers by using Read More...

Listed below are the video recordings of past BTEP events (classes, seminars, workshops). Videos are hosted on various servers and may play slightly differently. Some videos may be downloaded for local viewing. Recorded Videos of Read More...

Learning Objectives To understand: 1. the difference between R and RStudioIDE. 2. how to work within the RStudio environment including: creating an Rproject and Rscript navigating between directories using functions obtaining help how R can enhance data Read More...

Learning Objectives Learn about data structures including factors, lists, data frames, and matrices. Load, explore, and access data in a tabular format (data frames) Learn to write out (export) data from the R environment Data Read More...

This lesson will introduce data wrangling with R. Attendees will learn to filter data using base R and tidyverse (dplyr) functionality. Learning Objectives Understand the concept of tidy data. Become familiar with the tidyverse packages. Read More...

Lesson 9: Reference genomes and genome annotations used in RNA sequencing Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 8 Review In Lesson 8, we learned about the basics of RNA sequencing, Read More...

Lesson 9: Reference genomes and genome annotations used in RNA sequencing Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 8 Review In Lesson 8, we learned about the basics of RNA sequencing, Read More...

Lesson 6: sra-tools, e-utilities, and parallel This page uses some content directly from the Biostar Handbook by Istvan Albert. Lesson 5 Review: The majority of computational tasks on Biowulf should be submitted as jobs: sbatch or swarm Read More...

Lesson 6: Downloading data from the SRA For this lesson, you will need to login to the GOLD environment on DNAnexus. Lesson 5 Review: The majority of computational tasks on Biowulf should be submitted as jobs: sbatch Read More...

Lesson 13: Aligning raw sequences to reference genome Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 11 Review In Lesson 11 we learned to aggregate multiple FASTQC reports into one using MultiQC, Read More...

Lesson 13: Aligning raw sequences to reference genome Before getting started, remember to be signed on to the DNAnexus GOLD environment. Lesson 11 Review In Lesson 11 we learned to aggregate multiple FASTQC reports into one using MultiQC, Read More...

Lesson 1: Introduction to Biowulf, Unix, and R Learning Objectives Learn about why you may want to use R on Biowulf. Refresh Unix and R skills. This lesson will not be hands on. Why use R Read More...