Multimodal Empirical Bayes Variational Autoencoders for Joint Longitudinal and T
Longitudinal tumor measurements, dropout information, and genetic covariates provide complementary information about treatment response, but integrating these data sources within a single population modeling framework remains challenging. W
https://arxiv.org/abs/2607.13984v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
How close the company’s idea is to your thesis statement
Sector
ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↓ declining
▸ Add / edit details
Correct facts used on the next screening or memo.
People
A
Anders Sjöberg
1.0
low confidence
N
Nils Olsson
1.0
low confidence
M
Marcus Baaz
1.0
low confidence
M
Mats Jirstrand
1.0
low confidence
Activity & evidence
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