
Canary Center at Stanford
@canarycenter
The Canary Center at Stanford is the first research center in the world entirely dedicated to cancer early detection.
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http://canarycenter.stanford.edu/ 02-02-2018 16:02:28
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💡 Scott Bratman (Scott Bratman) shared clinical insights on using ctDNA for MRD detection, extending its applications to early cancer detection and pinpointing tissue of origin. 🧬💉 Another powerful example of how liquid biopsy is redefining the future of early cancer



📚"We need to rewrite the playbook for evaluation of cancer screening tech", says Ruth Etzioni of Fred Hutch Cancer Center in our panel discussion about the future of evaluation of cancer screening technologies. #EDxConf24 | Tom Beer | Exact Sciences | UVA | Hilary Robbins | IARC |





The 2024 Don Listwin Award for Outstanding Contribution to Cancer Early Detection winner is Antonis Antoniou, PhD. Congratulations, Dr. Antoniou! earlydetectionresearch.com #EDxConf24 OHSU Knight Cancer Institute Science and Innovation at Cancer Research UK


💬⚔️ Great Debate Recap: "Is research on early detection of rare cancers a waste of money?" Moderated by David Crosby (Science and Innovation at Cancer Research UK) FOR: Paul Spellman (UCLA) argued that focusing on common cancers, responsible for 2/3 of deaths, has the greatest impact. He highlighted the


🌆 Day 2 wrapped up with a thrilling finale! Professor Antonis Antoniou (Antonis Antoniou | Cambridge University) was honored with this year’s prestigious Don Listwin Award 🏆🎉 We hope everyone enjoyed the evening celebrations! 🥂✨ #DonListwinAward #CancerResearch #CelebratingExcellence

🚀🚀🚀 The final day of #EDxConf24 is about to kick off—let’s finish strong! 💪 Still Prima (Prima Dewi Sinawang) reporting. Check out the agenda 👉 earlydetectionresearch.com It’s not goodbye yet, but huge thanks to our amazing sponsors and partners for making this event happen! 🙌


💡 Jens Rittscher (Jens Rittscher) is leveraging AI to analyze endoscopy images for Barrett’s esophagus. 🤖🔬 His lab focuses on automated quantification for data-driven phenotyping, with exciting potential to extend into spatial transcriptomics and thicker tissue



💡 Sylvia Plevritis (Stanford Plevritis Lab | Stanford Medicine) and Cathie Sudlow (Health Data Research UK (HDR UK)) led today’s AI discussion session with @bissanao, Jens Rittscher, and Su-In Lee. 👉The discussion emphasized that predictive models are powerful, but AI must be treated like any diagnostic tool.


