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FlatASCEND: Autoregressive Clinical Sequence Generation with Continuous Time Pre

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1 SIGNALFIRST DETECTED 7 May 2026
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7 May
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2 May
Simulating clinical interventions with a generative multimodal model of human physiology

arXiv:2604.27899v1 Announce Type: new Abstract: Understanding how human health changes over time, and why responses to interventions vary between individuals, remains a central

REPORT · HOW · ArXiv CS.AIOPEN STORY
7 May
Sparse Autoencoder Decomposition of Clinical Sequence Model Representations: Feature Complexity, Task Specialisation, and Mortality Prediction

arXiv:2605.04072v1 Announce Type: cross Abstract: Sparse autoencoders (SAEs) have been applied to large language models and protein language models, but not systematically to

REPORT · WHAT · ArXiv CS.AIOPEN STORY
7 Sept
MedFlow: Class-Aware Multi-Scale Generation for Medical Time-Series Synthesis

arXiv:2609.04804v1 Announce Type: new Abstract: Synthetic medical time-series generation can alleviate data scarcity and support the development of reliable clinical prediction

REPORT · WHAT · ArXiv CS.AIOPEN STORY
22 Jul
Trajectory-Aware Clinical Risk Prediction via Severity-Grounded Knowledge Graphs and Retrieval-Augmented Generation

arXiv:2607.18270v1 Announce Type: new Abstract: While Electronic Health Records (EHRs) offer a wealth of clinical data, effectively augmenting a patient's records with

REPORT · HOW · ArXiv CS.AIOPEN STORY
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