NTHRYS › Internships › Ai Cancer Biology › Machine Learning Cancer Biomarker Discovery Pipeline

Causal Inference and Bayesian Networks for Biomarker-Outcome Relationships

Ai Cancer Biology

Machine Learning Cancer Biomarker Discovery Pipeline

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Ai Cancer Biology › Machine Learning Cancer Biomarker Discovery Pipeline

Causal Inference and Bayesian Networks for Biomarker-Outcome Relationships

This study develops causal graphical models and Bayesian network inference to distinguish biomarker associations from true causal drivers of cancer phenotypes and treatment response. The work generates mechanistic insights into which biomarkers are therapeutic targets versus passive correlates.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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