2024 AGENDA

Monday, October 21

6:00 PM – 7:30 PM

Trainee Dinner

Tuesday, October 22

8:00 AM – 9:00 AM

Check-in & Breakfast

9:00 AM – 9:15 AM

Welcome Remarks
Utkan Demirci, Stanford University

9:15 AM – 10:15 AM

Keynote: Revolutionising cancer screening
Peter Sasieni, Queen Mary University of London

10:15 AM – 10:45 AM

AM Break

10:45 AM – 12:15 PM

How is biology informing early detection?
Chairs: Rebecca Fitzgerald, University of Cambridge & Sarah Mazzilli, Boston University
Sarah Aitken, University of Cambridge
Angela Goncalves, Deutsches Krebsforschungszentrum, German Cancer Research Center
Jennifer Beane-Ebel, Boston University
Ken Lau, Vanderbilt University

12:15 PM – 12:30 PM

PPIE Flash Talks
Saumya Bollam, University of California, San Francisco
Lluvia Del Rio, patient representative

12:30 PM – 12:45 PM

Lightning Talks: How is biology informing early detection?

  • Polygenic Risk Scores Derived in White European Women Overestimate Breast Cancer Risk in Women of Black Origin,” Eleanor Roberts, University of Manchester
  • Ovarian cancer growth kinetics – implications for cancer early detection,” Bharath Narayanan, The University of Cambridge
  • “Circulating Tumor Cells in a Vascularized Bone-on-a-Chip Model Links Matrix Mineralization and Nuclear Damage as Novel Drivers of Prostate Cancer Progression,” Avathamsa Athirasala, Oregon Health & Science University

12:45 PM – 1:45 PM

Lunch

1:45 PM – 3:15pm

Emerging technologies for cancer early detection
Chairs: Joseph DeSimone, Stanford University & Billy Boyle, Owlstone Medical
Teal Health representative
George Hanna, Imperial College London
Daniel Kim, University of California, Santa Cruz
Otto Zhou, University of North Carolina

3:15 PM – 3:30 PM

PPIE Flash Talks
Ignacia Arteaga, University of California, San Francisco
Emily Arteaga, patient representative

3:30 PM – 3:45 PM

Lightning Talks: Emerging technologies for cancer early detection

  • Clinical Evaluation of a New Blood-based Test for Colorectal Cancer Screening,” Theodore Levin, Kaiser Permanente Northern California
  • Evaluating Deep Learning Features of Chromatin-Sensitive Partial Wave Spectroscopic Microscopy for Early Lung Cancer Diagnosis,” Sravya Prabhala, Northwestern University
  • “Distinctive proteomic signature of the pancreatic cystic fluid for EARLY DIAgnosis of PAncreatic Cancer (EARLY DIAPAC study),” Leonid Nikitenko, University of Hull

3:45 PM – 4:10 PM

PM Break

4:10 PM – 4:55 PM

Panel Discussion: Global challenges in cancer early detection
Moderator: Bill Dahut, American Cancer Society
Rob Bristow, University of Manchester
Jennifer Moodley, University of Cape Town
Sok Ching Cheong, Cancer Research Malaysia

4:55 PM – 5:00 PM

Closing Remarks
Utkan Demirci, Stanford University

5:00 PM – 6:00 PM

Evening Poster Reception

Wednesday, October 23

8:00 AM – 9:00 AM

Check-in & Breakfast

9:00 AM – 9:15 AM

Welcome Remarks
Sam Janes, University College London

9:15 AM – 10:15 AM

Keynote: New approaches to early detection of cancer
Steve Quake, Stanford University

10:15 AM – 10:45 AM

AM Break

10:45 AM – 11:30 AM

Panel Discussion: Investing into the future: From Lab to Clinic
Moderator: Sanjay Malhotra, Oregon Health & Science University
Michael Liang, InVivium Capital
Nitzan Rosenfeld, Queen Mary University of London
Jenny Rooke, Genoa Ventures

11:30 AM –  12:00 PM

Investing into the future: From Lab to Clinic Networking

12:00 PM – 1:10 PM

Lunch

1:10 PM – 2:40 PM

Insights from Early Detection Trials
Chairs: Nima Nabavizadeh, Oregon Health & Science University & Allan Hackshaw, University College London
Scott Bratman, University of Toronto
Tiffani Howard, Oregon Health & Science University
Kate Brain, Cardiff University
Rhian Gabe, Queen Mary University of London

2:40 PM – 2:55 PM

PPIE Flash Talks
Alice Groves, University of Cambridge

2:55 PM – 3:10 PM

Lightning Talks: Insights from Early Detection Trials

  • Smart PSA: a Trial of Risk-Adapted PSA Screening in a Minority-Serving Health Center Network,” Peter Gann, University of Illinois at Chicago
  • REFLECTION: Initial findings from a real-world evidence study o multi-cancer detection (MCED) and toxic exposures among Veterans in the Veterans Affairs Healthcare System (VA),” Charles Atwood, VA Pittsburgh Healthcare System
  • Implementing Lung Cancer Screening in the UK: An update on Results from the NHS England National ‘Targeted Lung Health Check’ Programme,” Richard Lee, Early Diagnosis and Detection Centre, Royal Marsden Hospital & Institute of Cancer Research

3:10 PM – 3:55 PM

PM Break & Poster Reception

3:55 PM – 4:40 PM

Panel Discussion: The future of evaluation of cancer screening technologies
Moderator: Tom Beer, Exact Sciences
Li Li, University of Virginia
Hilary Robbins, International Agency for Research on Cancer
Ruth Etzioni, Fred Hutch Cancer Center
Adam Brentnall, Queen Mary University of London

4:40 PM – 5:15 PM

Great Debate: Research focusing on early detection of rare cancers is a waste of money
Moderator: David Crosby, CRUK
(FOR) Paul Spellman, UCLA
(AGAINST) Emma Woodward, University of Manchester

5:15 PM – 5:20 PM

Closing Remarks
Sam Janes, University College London

5:20 PM

Travel to conference dinner
SPIN San Francisco, 690 Folsom St #100, San Francisco, CA 94107

5:30 PM – 8:30 PM

Conference Dinner/Reception
SPIN San Francisco, 690 Folsom St #100, San Francisco, CA 94107

Thursday, October 24

8:00 AM – 9:00 AM

Check-in & Breakfast

9:00 AM – 9:15 AM

Welcome Remarks
Thuy Ngo, Oregon Health & Science University

9:15 AM – 10:45 AM

Artificial Intelligence – promises vs. reality for early detection
Chair: Sylvia Plevritis, Stanford University & Cathie Sudlow, Health Data Research UK
Bissan Al-Lazikani, MD Anderson
Su-In Lee, University of Washington
Jens Rittscher, University of Oxford

10:45 AM – 10:50 AM

Transition to Lightning Talks

10:50 AM – 11:05 AM

Lightning Talks: Artificial Intelligence – promises vs. reality for early detection

  • Imaging Biomarker for Early Detection of Lung Cancer Combining Semantic and Deep Features,” Luoting Zhuang, University of California, Los Angeles
  • “A rigorous framework for cell-free DNA tissue deconvolution by combining a deep learning classifier and conformal prediction,” Felix Jackson, Ludwig Institute of Cancer Research, University of Oxford
  • Early Prostate Cancer Detection Using AI-powered Transabdominal Ultrasound,” Liza M. Kurucz, The Netherlands Cancer Institute – Antoni van Leeuwenhoek Hospital

11:05 AM – 11:30 AM

AM Break

11:30 AM – 12:30 PM

Keynote: The First Cell: Route for early detection and prevention
Azra Raza, Columbia University

12:30 PM – 12:40 PM

Closing Remarks
Thuy Ngo, Oregon Health & Science University