At the April NCI Imaging and Informatics Community Webinar, Dr. Maryellen L. Giger will discuss the development, validation, database needs, and future implementation of artificial intelligence in the clinical radiology workflow, which will include case studies on breast cancer and COVID-19 data.

At the upcoming Cancer Genomics Cloud (CGC) webinar, Ms. Trudy Zou, a University of Pittsburgh medical student, will present on behalf of her peers at Musculoskeletal Oncology Laboratory how they used the CGC to identify genomic alterations in a rare musculoskeletal tumor called “extraskeletal myxoid chondrosarcoma.”

NIH’s Office of Data Science Strategy’s Innovation Lab, “A Data Ecosystems Approach to Ethical AI for Biomedical and Behavioral Research,” will examine systems-wide solutions for defining and addressing the ethical concerns that may arise in AI and data research. Apply by 5:00 p.m. ET, February 14, 2022.

Dr. Enis Afgan will provide an overview of Galaxy and its increasing use of software containers to ensure consistency and promote software portability. This webinar will explore what goes on behind the scenes to make a Galaxy installation function at scale.

If you’re a cancer researcher looking to learn about the upcoming and required NIH data management and data sharing plan mandates, don’t miss this webinar exploring the ELIXIR RDMkit, a framework for advice and best practices regarding research data management.

In this installment of the NCI Imaging and Informatics Community Webinar, learn about the impending challenges and different approaches for detecting and mitigating bias when implementing clinical artificial intelligence (AI) and machine learning (ML) algorithms within a clinical setting. Dr. Issam El Naqa of the Moffitt Cancer Center will give examples of how to apply these approaches in oncology applications and discuss their implications to pave the way for AI/ML in clinical practice.

Cancer researchers and professionals involved in drug discovery are invited to register for the Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium’s first webinar in a series. Learn how the ATOM Research Alliance is accelerating drug discovery and thereby changing the field. Dr. John Baldoni, CEO of ATOM Research Alliance, will talk about the ATOM Modeling Pipeline (AMPL), an open-source data-driven modeling pipeline that supports machine learning and molecular featurization tools.

Dr. Jeremy Goecks will share how cancer researchers are using the machine learning capabilities of the Galaxy project, one of the largest and most widely used open-source platforms for biomedical data science, to predict therapeutic responses and analyze tumor spatial biology.

Dr. Moseley is an Associate Director of the Institute for Biomedical Informatics at the University of Kentucky. His lab has a strong history of developing open-source software tools that enable access of public repository data including the Biological Magnetic Resonance Bank (BMRB), worldwide Protein Data Bank (wwPDB), and the Metabolomics Workbench (MWbench).

Join the February NCI Imaging and Informatics Community webinar to learn how Dr. Thomas Yankeelov’s laboratory is using quantitative imaging data to develop digital twins, a virtual representation of a cancer patient from real-world data, to predict risk and optimize therapy for cancer.