1 citations · 1 across the 3 of their papers we have counts for
3 papers
Influence-Guided Symbolic Regression: Scientific Discovery via LLM-Driven Equation Search with Granular Feedback
Evgeny S. Saveliev, Samuel Holt, Nabeel Seedat +3
Large Language Models (LLMs) offer a promising avenue for scientific discovery, yet their application to symbolic regression is often constrained by inefficient search strategies a…
TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials
Christopher Yacoumatos, Stefano Bragaglia, Anshul Kanakia +6
A major impediment to successful drug development is the complexity, cost, and scale of clinical trials. The detailed internal structure of clinical trial data can make conventiona…
Ranking Biomarkers Through Mutual Information
Konstantinos Sechidis, Emily Turner, Paul D. Metcalfe +2
We study information theoretic methods for ranking biomarkers. In clinical trials there are two, closely related, types of biomarkers: predictive and prognostic, and disentangling…