Aether

I recently read a JCO Clinical Cancer Informatics paper on predicting cancer symptom trajectories using longitudinal EHR data.

The models are interesting, but the lesson is structural. Prediction only works because symptom history is preserved across time. When EHRs reduce symptoms to isolated encounter entries, learning breaks down.

The paper uses sparse, irregular nursing documentation and still shows that symptom trajectories can be learned. That matters for anyone building health software in the real world, where data is never clean.

I wrote a longer reflection connecting this to longitudinal health records, health graphs, and EHR Lite systems here:
https://myaether.live/blog/predicting-cancer-symptom-trajectories-longitudinal-ehr

Would love thoughts from others building in healthcare or working with messy time-series data.

I started working on Aether after watching my mother fall sick.

She was diagnosed with an exceptionally rare form of cancer only a few days before her death. All the reports were there. But no one ever had a complete picture of her health over time.

Recently, I read a new npj Digital Medicine paper on rare disease diagnosis using weakly supervised transformers. What struck me was not the model, but the premise: diagnoses are noisy, provisional, and only make sense longitudinally.

Rare diseases expose what breaks first when systems are episodic.

I wrote a longer essay connecting this research to longitudinal health records, health graphs, and EHR Lite design here:
https://myaether.live/blog/rare-disease-ai-longitudinal-health

Would genuinely appreciate thoughts from others building in healthcare, AI, or data systems that have to deal with messy real-world truth.

Hey everyone 👋

I’m Akash, founder of Aether.

I started working on this after my mom’s cancer went undiagnosed until very late, despite years of lab reports and scans. All the data existed, but it was scattered across labs, hospitals, and PDFs, and no one ever looked at it together over time. I found myself manually copying values into spreadsheets just to see if anything stood out.

That experience made the problem clear: healthcare treats every visit as isolated, even though health is cumulative.

Aether lets patients upload reports, prescriptions, and scans from any source and organizes them into a single, time-ordered health history. For doctors and clinics, it works as a lightweight record system focused on reviewing history and trends rather than billing or complex hospital workflows.

We’re live today with ~25k patients and a few hospitals. I’m sharing this here to get builder feedback:
– What feels unclear at first glance?
– What would you want to understand in the first few minutes?
– Where does this fall short of what you’d expect?

Happy to answer questions and learn from the community.