📚 Syllabus & Course Curriculum
Bioinformatics & Computational Biology
Module-by-module breakdown of Clinical & Omics AI: Multimodal EHR-Genomics Analysis Using Transfer Learning, from foundations to a certified capstone project.
Outline
Explore global trends in clinical AI and precision medicine • Identify clinical, omics, biomarker, and EHR data modalities • Create a synthetic multimodal dataset in Google Colab
Outline
Apply transfer learning to small biomedical cohorts • Leverage pretrained transformer models for EHR text • Build a multimodal disease‑risk prediction pipeline in Colab
Outline
Compare unimodal, bimodal, and multimodal model performance • Evaluate models with ROC‑AUC, F1‑score, and confusion matrix • Interpret feature importance and ensure responsible AI practices
Earn government-registered certification in Clinical & Omics AI: Multimodal EHR-Genomics Analysis Using Transfer Learning
e-Certificate and e-Marksheet issued on successful completion.
