📚 Syllabus & Course Curriculum
Biotechnology & Genetic Engineering
Module-by-module breakdown of AI-Driven Innovations in CRISPR and Precision Medicine: A 3-Day Lecture Series, from foundations to a certified capstone project.
Prediction
• On-target activity models trained on large-scale screens and their dataset bias
• Off-target prediction models against empirical assays such as CIRCLE-seq
• Repair outcome prediction and designing an edit for a wanted allele
Variants
• ACMG/AMP classification and the persistent burden of variants of uncertain significance
• SpliceAI, AlphaMissense and where computational evidence is admissible
• Saturation genome editing as the experimental route to variant reclassification
Therapy
• Approved and late-stage therapies and the delivery route each depends on
• Ex vivo against in vivo editing and their different risk profiles
• Lipid nanoparticle and AAV delivery constraints on what can be edited
Safety
• Large deletions, chromothripsis and translocations that simple assays miss
• p53 response, clonal selection and the tumorigenic risk it implies
• Regulatory expectations for off-target characterisation in an IND package
Practice
• N-of-1 therapies and the regulatory and cost problems they create
• Germline editing prohibitions and the international governance position
• Reading an AI-plus-CRISPR claim critically rather than accepting the press release
Earn government-registered certification in AI-Driven Innovations in CRISPR and Precision Medicine: A 3-Day Lecture Series
e-Certificate and e-Marksheet issued on successful completion.
