TEDDY: A Pediatric Foundation Model for Risk Forewarning from ICD-Coded Diagnost
Pediatric electronic health records capture developmentally structured clinical trajectories, yet their potential for generative healthcare foundation models remains largely unexplored. Here we present TEDDY (Temporal Event Decoder for Dise
https://arxiv.org/abs/2607.14191v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
Light
How close the company’s idea is to your thesis statement
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ai
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Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
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Idea vs market ↓ declining
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People
M
Matthew Brady Neeley
1.0
low confidence
J
Jorge Botas
1.0
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J
Johnathan Jia
1.0
low confidence
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Lin Yao
1.0
low confidence
D
Daniel Palacios
1.0
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B
Benjamin Choi
1.0
low confidence
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Zhandong Liu
1.0
low confidence
H
Hyun-Hwan Jeong
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Joe Du Bey
Strand AI
· Active
Multimodal foundation models to predict uncollected patient biology
founders not scraped yet