Benign or Cancerous? Differentiating Mutation Types with Machine Learning

 LIVE Symposium

Monday, June 19, 2023
11:00 AM - 2:00 PM Eastern Time

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Tumors are molecular and cellular mosaics that acquire numerous mutations. Scientists seek to identify tumorigenic mutations among thousands of other genetic differences to help clinicians predict therapy and survival outcomes for different cancer types.

In this symposium brought to you by The Scientist’s Creative Services Team, researchers will discuss precision genomic and transcriptomic profiling in cancer clinics and how big data approaches help scientists understand patient data in real time.

Symposium program

11:00 AM – Introduction

11:10 AM – Spatial transcriptomics of pancreatic intraepithelial neoplasia (PanIN) - carcinogenesis revealed with spatial data integration

Luciane Tsukamoto Kagohara, PhD 

11:45 AM – Forecasting pancreatic carcinogenesis from spatial multi-omics

Elana J. Fertig, PhD, FAIMBE

12:20 PM – Proteomics approaches to rationalize anticancer drug responses: towards next generation precision medicine

Pedro R. Cutillas, PhD

1:30 PM - Open panel Q&A session
Deanna MacNeil from The Scientist's Creative Services Team will be joined by the entire panel in an open question and answer session where presenters will address questions posed by the audience.

Luciane Tsukamoto Kagohara, PhD  Assistant Professor Sidney Kimmel Comprehensive Cancer Center  Johns Hopkins University

Elana J. Fertig, PhD, FAIMBE Division Director and Associate Cancer Center Director, Quantitative Sciences  Co-Director, Convergence Institute Co-Director, Single-Cell Training and Analysis Center (STAC) Daniel Nathans Scientific Innovator Professor Oncology, Biomedical Engineering, and Applied Mathematics and Statistics Johns Hopkins University

Pedro R. Cutillas, PhD Professor, Cell Signalling and Proteomics Centre for Genomics and Computational Biology Barts Cancer Institute - a Cancer Research UK Centre of Excellence Queen Mary University of London

Akanksha Khare Advanced Scientist, R&D Diagnostics & Genomics Group, Agilent Technologies

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