Elizabeth Janes

ORCID: 0000-0001-7150-4765
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About
Contact & Profiles
Research Areas
  • Skin Protection and Aging
  • Cutaneous Melanoma Detection and Management
  • Palliative Care and End-of-Life Issues
  • Nonmelanoma Skin Cancer Studies
  • Cancer survivorship and care
  • Clinical practice guidelines implementation
  • Genomics and Rare Diseases
  • Ethics in Clinical Research
  • Patient-Provider Communication in Healthcare
  • Cancer Genomics and Diagnostics

University of Waterloo
2024

University Health Network
2022-2023

Heidi L. Rehm Angela Page Lindsay Smith Jeremy Adams Gil Alterovitz and 95 more Lawrence Babb Maxmillian P. Barkley Michael Baudis Michael J. S. Beauvais Tim Beck J. Beckmann Sergi Beltrán David L. Bernick Alexander Bernier James Bonfield Tiffany Boughtwood Guillaume Bourque Sarion R. Bowers Anthony J. Brookes Michael Brudno Matthew Brush David Bujold Tony Burdett Orion J. Buske Moran N. Cabili Daniel Cameron Robert J. Carroll Esmeralda Casas-Silva Debyani Chakravarty Bimal P. Chaudhari Shu Hui Chen J. Michael Cherry Justina Chung Melissa Cline Hayley Clissold Robert Cook‐Deegan Mélanie Courtot Fiona Cunningham Miro Cupak Robert M. Davies Danielle Denisko Megan Doerr Lena Dolman Edward S. Dove Lewis Jonathan Dursi Stephanie O. M. Dyke James A. Eddy Karen Eilbeck Kyle Ellrott Susan Fairley Khalid A. Fakhro Helen V. Firth Michael S. Fitzsimons Marc Fiume Paul Flicek Ian Fore Mallory Freeberg Robert R. Freimuth Lauren A. Fromont Jonathan Fuerth Clara Gaff Weiniu Gan Elena M. Ghanaim David Glazer Robert C. Green Malachi Griffith Obi L. Griffith Robert L. Grossman Tudor Groza Jaime M. Guidry Auvil Roderic Guigó Dipayan Gupta Melissa Haendel Ada Hamosh David Hansen Reece K. Hart Dean M. Hartley David Haussler Rachele Hendricks‐Sturrup Calvin Wai-Loon Ho Ashley E. Hobb Michael M. Hoffman Oliver Hofmann Petr Holub Jacob Shujui Hsu Jean‐Pierre Hubaux Sarah Hunt Ammar Husami Julius O.B. Jacobsen Saumya S. Jamuar Elizabeth Janes Francis Jeanson Aina Jené Amber L. Johns Yann Joly Steven J.M. Jones Alexander Kanitz Yoshihiro Kato Thomas Keane Kristina Kekesi-Lafrance

The Global Alliance for Genomics and Health (GA4GH) aims to accelerate biomedical advances by enabling the responsible sharing of clinical genomic data through both harmonized aggregation federated approaches. decreasing cost sequencing (along with other genome-wide molecular assays) increasing evidence its utility will soon drive generation sequence from tens millions humans, levels diversity. In this perspective, we present GA4GH strategies addressing major challenges revolution. We...

10.1016/j.xgen.2021.100029 article EN cc-by-nc-nd Cell Genomics 2021-11-01

Skin cancer is the most common type of in United States and estimated to affect one five Americans. Recent advances have demonstrated strong performance on skin detection, as exemplified by state art SIIM-ISIC Melanoma Classification Challenge; however, these solutions leverage ensembles complex deep neural architectures requiring immense storage computation costs, therefore may not be tractable. A recent movement for TinyML applications integrating Double-Condensing Attention Condensers...

10.3390/s24227231 article EN cc-by Sensors 2024-11-12

Comprehensive models of survivorship care are necessary to improve access and coordination care. New provide the opportunity address complexity physical psychosocial problems long-term health needs experienced by patients following cancer treatment.This paper presents our expert-informed, rules-based algorithm build a nurse-led model support men living with prostate (PCa). The is called No Evidence Disease (Ned) supports timelier decision-making, enhanced safety, continuity care.An initial...

10.2196/44332 article EN cc-by JMIR Cancer 2023-08-14

<sec> <title>BACKGROUND</title> Comprehensive models of survivorship care are necessary to improve access and coordination care. New provide the opportunity address complexity physical psychosocial problems long-term health needs experienced by patients following cancer treatment. </sec> <title>OBJECTIVE</title> This paper presents our expert-informed, rules-based algorithm build a nurse-led model support men living with prostate (PCa). The is called No Evidence Disease (Ned) supports...

10.2196/preprints.44332 preprint EN 2022-11-21

Skin cancer is the most common type of in United States and estimated to affect one five Americans. Recent advances have demonstrated strong performance on skin detection, as exemplified by state art SIIM-ISIC Melanoma Classification Challenge; however these solutions leverage ensembles complex deep neural architectures requiring immense storage compute costs, therefore may not be tractable. A recent movement for TinyML applications integrating Double-Condensing Attention Condensers (DC-AC)...

10.48550/arxiv.2311.11656 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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