Pharmacogenomics: A Research-Oriented Approach to Genomic Medicine and Drug Response (duration- 6 months)
Master the intersection of AI-driven genomics and clinical pharmacology to pioneer personalized medicine strategies. Transform large-scale genomic data into actionable insights for precision drug response and patient safety.
Course Description
This intensive 6-month research program provides a deep dive into the molecular mechanisms of inter-individual drug response through the lens of genomics. Students will explore the transition from traditional trial-and-error prescribing to AI-assisted precision therapy. The course integrates bioinformatics with clinical pharmacology, focusing on how genetic variations like SNPs (Single Nucleotide Polymorphisms) influence drug metabolism and pharmacokinetics. By employing Machine Learning models and Deep Learning algorithms, participants will learn to predict Adverse Drug Reactions (ADRs) and optimize therapeutic efficacy. The curriculum is heavily research-oriented, emphasizing genomic data analysis, biomarker discovery, and the ethical implementation of Next-Generation Sequencing (NGS) in clinical settings.
What You'll Learn
The fundamental architecture of the human genome and the role of genetic polymorphisms in medicine.
Advanced techniques for identifying pharmacogenetic biomarkers using AI-driven predictive modeling.
How to utilize CPIC (Clinical Pharmacogenetics Implementation Consortium) guidelines for dosage adjustment.
Integration of Big Data and Electronic Health Records (EHR) with genomic profiles.
The application of Deep Learning for drug repurposing and novel drug target discovery.
Curriculum
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Module 1: PI – Introduction to Pharmacogenomics
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Module 2: PB – Fundamentals of Bioinformatics
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Module 3: PL – Databases & Basics of Linux Operating System
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Module 4: PP – Python for Pharmacogenomic Data Analysis
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Module 5: PR – R for Data Analysis in Pharmacogenomics
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Module 6: PGWAS – Introduction to Genome-Wide Association Studies (GWAS)
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Module 7: PDD – Pharmacogenomic Applications in Drug Discovery
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Module 8: PCT – Pharmacogenomics in Cancer Treatment
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Module 9: PVC – Variant Calling Analysis using GATK
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Module 10: PCI – Clinical Implementation of Pharmacogenomics & Regulatory Guidelines
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Final Project: PRP – Research Project in Computational Pharmacogenomics
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