Aduhelm
Accelerated approval for Alzheimer's, over the advisory committee's objection.
Think like an investigator.
Drug approvals. Plane crashes. Autonomous systems. Rebuilt from the primary record, so you can see how the story actually happened.
Modern life runs on their decisions.
Scroll
The page is a stand-in. The highlighted entities are real, taken from the built graph.
The Ephemeris
Every decision leaves a record.
This one is 392 pages: the FDA's medical review of Aduhelm, the Alzheimer's drug approved in 2021 over its advisory committee's objection.
Read once
EphemerisX reads it once.
Every drug, trial, dose, endpoint and adverse event becomes a node, tied to the document and page it came from.
One drug
Thirteen documents. One connected record.
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Counted as they are drawn. Every dot on screen is a real entity from the Aduhelm graph.
The queue
Then the next. And the next.
Leqembi, Kisunla, the advisory committee record and 22 more Alzheimer's drugs are lined up. 5,015 pages wait in the queue, read at a measured 16.47 pages a second.
- Solid: in the graph
- Translucent: queued, projected
- Grey: listed only
Then the next record
When the FDA says no, companies still have to tell investors.
283 companies after a Complete Response Letter: 456 letters and 707 SEC filings, read into the same graph. The same method, a second institution.
Being read now
Every record EphemerisX reads, on one map.
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Build queue · projected replay
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Hover a cluster · click to open it on the map
The institutions
Modern life runs on their decisions. Here's how far we've read.
FDA
Charting
130 documents · 5,954 pages
28 drugs and records · Alzheimer's disease
Open the FDA Ephemeris →
SEC
Charting
1,163 documents · 283 companies
After an FDA Complete Response Letter · 65 with SEC filings
Open the SEC Ephemeris →
NTSB
Case reconstructed
1 investigation
Tesla Model X · HWY18FH011
Open the case →
FAA
Next
Aviation certification · airworthiness
NHTSA
Next
Vehicle safety · defect investigations
Close to home
The medicine prescribed to you. The plane you boarded. The systems making decisions around you. Behind each is a public record of how it came to be.
The cases
Now, open one story.
The map shows the whole record. A reconstruction tells one story from it, event by event, every claim traced to its source.
Replimune RP1
Two FDA letters, then accelerated approval: 16 questions answered from the FDA's letters and the company's SEC filings, every quote traced to its source.
In the queue
The method
It starts with the actual record.
- 01
Collect
Primary documents only: reviews, letters, dockets, filings. Each keeps its citation, retrieval date and content hash.
- 02
Read once
Every document is read once into a knowledge graph of entities and the relations between them.
- 03
Trace
Every claim points back to the document and page it rests on. Nothing summarized away.
For the curious