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Found 5 papers, 2 papers with code
Towards a Personal Health Large Language Model
Here we present Personal Health Large Language Model (PH-LLM), fine-tuned from Gemini for understanding and reasoning over numerical time-series personal health data.
Multimodal LLMs for health grounded in individual-specific data
To effectively solve personalized health tasks, LLMs need the ability to ingest a diversity of data modalities that are relevant to an individual's health status.
Knowledge distillation for fast and accurate DNA sequence correction
Accurate genome sequencing can improve our understanding of biology and the genetic basis of disease.
Identifying 3D Genome Organization in Diploid Organisms via Euclidean Distance Geometry
A standard approach is to transform the contact frequencies into noisy distance measurements and then apply semidefinite programming (SDP) formulations to obtain the 3D configuration.
Direct Estimation of Differences in Causal Graphs
We consider the problem of estimating the differences between two causal directed acyclic graph (DAG) models given i. i. d.~samples from each model.
Methodology
