anomaly detection 1domain adaptation 1explainable AI 1longitudinal clinical data 1medical informatics 1medical language models 1preference optimization 1pretraining curriculum 1small-scale models 1time series analysis 1
From the 2 of 7 linked papers with an AI index.
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cs.AI2026
MedLLM: An Open Medical Language Model at the Sub-Billion Scale
Maxx Richard Rahman, Asim Ahmed, Mihan Mohagheghzadeh +1
The paper presents MedLLM, an open 100‑million‑parameter medical language model trained with a three‑phase pipeline (general pretraining, domain fine‑tuning on the released MedFine…
cs.AI2026
INCLAIR: Inception-Based Longitudinal Clinical Anomaly Detection with Informed Reasoning
Maxx Richard Rahman, Wolfgang Maass
INCLAIR is a framework that detects anomalies in longitudinal clinical records by scoring observations against multiple historical contexts, aggregating evidence, and producing nat…
cs.AI2026
AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence Design
Sahil Rahman, Maxx Richard Rahman
Protein language models (PLMs) are passive oracles: they generate sequences in a single forward pass with no mechanism to consult external biophysical feedback or redirect generati…