• Live Meeting
  • Posters
  • Presenters
  • Industry Support
  • CME / PACE
12. Expanding clinical actionability in individual patient profiles with the Molecular Oncology Almanac

12. Expanding clinical actionability in individual patient profiles with the Molecular Oncology Almanac

by achatfield@ezav.biz | Jul 20, 2022 | 5 - Bioinformatics and Artificial Intelligence

Brendan Reardon Brendan Reardon is a computational scientist in the Van Allen laboratory at Dana-Farber Cancer Institute focusing on clinical interpretation of individual patient molecular profiles Abstract Brendan Reardon, Eliezer Van Allen Dana-Farber Cancer...
15. ClinGen Somatic Cancer expert curation panel for FGFR genes in Genitourinary Cancer

15. ClinGen Somatic Cancer expert curation panel for FGFR genes in Genitourinary Cancer

by achatfield@ezav.biz | Jul 20, 2022 | 5 - Bioinformatics and Artificial Intelligence

Ian King Ian King is a Clinical Molecular Geneticist at the Princess Margaret Cancer Centre in Toronto, Canada and an assistant professor at the University of Toronto. Ian is interested in development and implementation of tools for interpretation of somatic and...
28. Detection of small mutations, copy number alterations and structural variations from targeted cfDNA sequencing in cancer

28. Detection of small mutations, copy number alterations and structural variations from targeted cfDNA sequencing in cancer

by achatfield@ezav.biz | Jul 20, 2022 | 5 - Bioinformatics and Artificial Intelligence

Jace Webster Jace Webster received his B.S. in Bioinformatics and Molecular Biology from Brigham Young University in 2019, where he worked in the lab of Dr. Marc Hansen studying small molecule drug candidates. He then enrolled in the Human and Statistical Genetics...
29. Tools for functional genomics dataset visualization and analysis

29. Tools for functional genomics dataset visualization and analysis

by achatfield@ezav.biz | Jul 20, 2022 | 5 - Bioinformatics and Artificial Intelligence

Arpad Danos Arpad Danos is involved with CIViC (Clinical Interpretation of Variants in Cancer, www.civicdb.org) as an editor, and works on training and development of the CIViC data model to integrate new cancer variant classification guidelines, and keep pace with...
51. Discerning cell types and states in spatial transcriptomics data using topic modelling

51. Discerning cell types and states in spatial transcriptomics data using topic modelling

by achatfield@ezav.biz | Jul 20, 2022 | 5 - Bioinformatics and Artificial Intelligence

Aly Abdelkareem Aly is a Ph.D. candidate in Dr. Morrissy’s lab, Cumming School of Medecine, University of Calgary. He is a former Research Software Engineer at Microsoft. Currently, he enjoys learning cancer biology, and utilizing Artificial intelligence techniques to...
51. Discerning cell types and states in spatial transcriptomics data using topic modelling

54. CancerTrialMatch: A computational resource for the management of clinical trials at a precision oncology center

by achatfield@ezav.biz | Jul 20, 2022 | 5 - Bioinformatics and Artificial Intelligence

Anu Amallraja Anu Amallraja is a Lead Clinical Bioinformatics Analyst in the Department of Cancer Genomics at the Avera Cancer Institute. She has an undergraduate degree in Biotechnology Engineering from Manipal Institute of Technology, India, and an MS in Biological...
« Older Entries
  • 1 – Hematologic Malignancies
  • 2 – Solid Tumors
  • 3 – Genomic Resources for Variant Curation and Standardization
  • 4 – Technical Topics
  • 5 – Bioinformatics and Artificial Intelligence
  • 6 – Constitutional Disorders
  • 7 – Challenges in Genomic Testing
  • 8 – Other Oncology and Constitutional Topics

Powered by EZ Audio Visual