Quick Summary
Google shared that a Gemma family model called C2S Scale 27B generated a cancer therapy hypothesis that was validated in lab studies. The idea: a CK2 inhibitor with low dose interferon may boost antigen presentation in some tumor contexts. This is exciting science. For people today, the priority is simple: connect your reports, build a usable health graph, and make decisions earlier with your clinicians.
What happened in plain language
A research model scanned thousands of compounds across different immune contexts and predicted a combination that could make cold tumors more visible to immune cells. Lab experiments supported the prediction. It is preclinical, but it shows AI can propose new ideas, not only summarize papers.
Why a health graph still wins the day
Discovery begins in labs. Care begins when your real world data tells a clear story. Aether turns your PDFs and images into a structured health graph. Doctors get context, and you get trends and flags you can act on.
From global science to your record
The model worked because the biology it saw was standardized and connected. We apply the same idea to your records using FHIR and ABHA so your information is machine readable and easy to share.
Coverage and sources
Early stage research. Not medical advice.
What you can do today
- Upload your latest lab reports and scans to Aether.
- Review AI highlights and flagged items with plain language explanations.
- Add older reports to see trends across time.
- Share a read only link with one clinician who should see your full story.