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Join the <a href="https://uwaterloo.ca/arts/about/critical-tech-talk" id="LPlnk845325" title="https://uwaterloo.ca/arts/about/critical-tech-talk">
Critical Tech Talk series</a> to hear from Dr. Josh Del Papa about how “vibe coding”, a flexible, intuition-driven approach to prototyping, can empower people from non-computing backgrounds to shape the medical tools they actually need. Also featuring three
respondents from the Faculty of Health.</div>
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WHEN: Thurs. July 24, 4:30-6pm</div>
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WHERE: HH 1102 (in-person)</div>
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<a href="https://uwaterloo.ca/arts/events/critical-tech-talk-12-vibe-coding-ai-cancer-detection" id="LPlnk432136" title="https://uwaterloo.ca/arts/events/critical-tech-talk-12-vibe-coding-ai-cancer-detection">DETAILS AND REGISTRATION</a></div>
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<b>Vibe Coding with AI for Cancer Detection - Building Mini Medical Machines in the Shadow of “Big Tech”</b></div>
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As AI becomes increasingly embedded in healthcare and creative workflows, the boundary between expert and end-user is blurring. This talk explores how “vibe coding”, a flexible, intuition-driven approach to prototyping can empower people from non-computing
backgrounds to shape the medical tools they actually need. Drawing from experience building fast, lightweight AI utilities for cancer detection and clinical documentation, the speaker examines how small-scale code experiments can unlock agency and challenge
institutional inertia. In this session, the speaker hopes to generate discussion on how personal toolmaking can offer an alternative to extractive models of technological development, fostering more grounded and human-centered applications of technology in
medicine and beyond.</div>
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<b>About the speaker</b></div>
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Dr. Josh Del Papa is a resident physician in Diagnostic and Molecular Pathology at the University of Western Ontario. He completed medical school at Queen’s University and holds a PhD in biochemistry with a specialization in human and molecular genetics from
the University of Ottawa. His research bridges diagnostic dermatopathology, physician-centered interface design, and artificial intelligence, with a focus on transparent, clinician-empowering tools. He is currently developing a fully offline AI platform that
classifies skin cancers in real-time. The system is designed to augment intraoperative consultations through a human-in-the-loop approach, without relying on the cloud or opaque black-box systems.</div>
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