Author

Nigel H. Lovell

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Open access Aug 2026

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

ABSTRACT Spatial transcriptomics (ST) analysis is often hindered by technical limitations and methodological biases that let dominant signals overshadow subtle but crucial biological patterns, such as rare cell types and fine‐grained heterogeneity. This is especially true for high‐complexity datasets from platforms lik...

Roxana Zahedi, A. Argha, Nona Farbehi et al. · Advancement of science · 0 citations

#artificial intelligence Preprint Sep 2026

Large Language Model Agents for Evidence Based Genetic Disease Severity Classification

An autonomous AI agent integrating Reasoning and Acting with Retrieval-Augmented Generation with Retrieval-Augmented Generation is developed to classify 10,211 Human Phenotype Ontology terms, enabling standardized panel design by providing reliable, automated classification supported by direct evidence.

Tohid Ghasemnejad, A. Argha, M. Grosser et al. · 0 citations

Preprint Jul 2026

Harmonised benchmarking of foundation models for single-cell and spatial transcriptomics reveals context-dependent generalisation

This benchmark provides practical guidance for model selection and argues that future models should be judged by biological generalisation, interpretability and perturbation-grounded validity, not by scale or leaderboard performance alone.

S. Chen, Roxana Zahedi, Lucy Chhuo et al. · 0 citations