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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Manyara Sandra Kasanhayi

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2 papers indexed here

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Open access Aug 2026

Explainable Multi-Omics Transformer Risk Stratification in Lung Adenocarcinoma: External Validation, Calibration, and Patient-Level Genomic Attribution

- Lung adenocarcinoma (LUAD) remains biologically heterogeneous and clinically difficult to stratify with a single data modality. Transformer architectures can, in principle, model cross-modality interactions among RNA expression, somatic mutation, copy-number variation (CNV), and clinical variables, but their clinical...

Cleopas Russell Choga, Manyara Sandra Kasanhayi, Nkosana Mkandla et al. · 0 citations
Review Open access Aug 2026

From Multi-Omics Prediction to Clinical Workflow: An Interoperable, Bias-Audited, Human-in-the-Loop Decision-Support Framework for Precision Oncology

It is argued that precision-oncology AI should be evaluated not only by C-index, but by an integrated evidence package: discrimination, calibration, decision utility, subgroup fairness.

Cleopas Russell Choga, Manyara Sandra Kasanhayi, Nkosana Mkandla et al. · 0 citations

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