Mike's Notes
I recently attended the excellent Google Startup School: HealthTech. Most video sessions were in the early hours (NZ Time), so I watched them on demand.
A virtual series exploring cutting-edge technology, cloud infrastructure, and the future of care. Held September 24, 2026-October 1, 2026.
Looks great, lots of possibilities for integrating MedGemma with Pipi in the future.
Resources
- https://startup.google.com/
- https://cloudonair.withgoogle.com/events/startup-school-healthtech#
- https://arxiv.org/abs/2604.05081
- https://www.youtube.com/watch?v=GfpTS4cVRgY
- https://services.google.com/fh/files/misc/sales-and-vcbd-hcls-two-pager.pdf
- https://services.google.com/fh/files/events/google_medgemma_session_hcls_series_slide_deck.pdf
- https://services.google.com/fh/gumdrop/preview/events/google_digital_health_session_hcls_series_slide_deck.pdf
References
- MedGemma 1.5 Technical Report, [v2] Fri, 1 May 2026, arXiv:2604.05081.
Repository
- Home > Ajabbi Research > Library >
- Home > Handbook >
Last Updated
05/10/2026
MedGemma: Google's open models for Health AI development
Daniel Golden: Dan is a Software Engineering Manager in Google Research, where he has worked since 2019 (including one year at Verily) on AI diagnostic and generative systems for ophthalmology, radiology, pathology, and healthcare more broadly. He leads the Health AI Developer Foundations (HAI-DEF) program in Google Research, which focuses on developing MedGemma and other open multimodal foundation models for healthcare, as well as tools that help developers build medical AI applications more effectively.
...
Explore Google’s family of open medical AI models, including MedGemma, and learn how they are purpose-built for healthcare workloads. Discover how engineering and clinical research teams fine-tune and deploy these models securely on Google Cloud to accelerate diagnostic workflows and build next-generation health applications.
Play length: 53:32
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