Author

Min Yang

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#machine learning Apr 2026

Transcriptomic Models for Immunotherapy Response Prediction Show Limited Cross-cohort Generalisability

Immune checkpoint inhibitors (ICIs) have transformed cancer therapy; yet substantial proportion of patients exhibit intrinsic or acquired resistance, making accurate pre-treatment response prediction a critical unmet need. Transcriptomics-based biomarkers derived from bulk and single-cell RNA sequencing (scRNA-seq) off...

Yu-Heng Liang, Lucy Chhuo, A. Argha et al. · arXiv.org · 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