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.”

Dr. Ben Raphael will describe how tumors are heterogeneous mixtures of normal and cancerous cells with distinct genetic and transcriptional profiles. He’ll also discuss computational approaches to quantify tumor heterogeneity and reconstruct tumor evolution using data from single-cell DNA and spatial RNA sequencing technologies.

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.

Dr. Elana J. Fertig (whose lab also uses multiplatform genomics data, blended with mathematical modeling and artificial intelligence) will demonstrate how CoGAPS, an established method for identifying transcriptional signatures related to cell type and state, can be applied to single cell data to identify patterns underlying immunotherapy response and resistance. Combining CoGAPS with transfer learning approaches provides insight into the patterns found in preclinical models, which then can be applied to patient samples to find shared features across data sets from different species.

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).