Designing Cancer Vaccines with Python
summary
An introduction to cancer physiology and basic genetics followed by a practical demonstration of cancer-vaccine design using Python. The presenters explain different vaccine strategies and then use a Python script to design a vaccine targeting a specific tumor, illustrating how biotechnology and bioinformatics combine for diagnosis and treatment.
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chapters (23)
- 0:00Welcome
- 1:09Cancer and vaccines intro
- 3:00What is cancer and impact
- 6:36Cancer frequency and effects
- 9:28Need for new therapies
- 10:10Current cancer therapies
- 11:13Cancer vaccine strategies
- 15:24Biology basics
- 17:55CRISPR and gene editing
- 19:19Python and CRISPR case study
- 23:15Python code workflow
- 30:48Therapy regulation and commercialization
- 35:01Pharma industry best practices
- 40:21History of best practices
- 41:03Conclusions and cancer future
- 42:06Thanks and closing
- 43:09Q&A: AI and cancer
- 44:34Q&A: Cost and healthcare
- 45:41Q&A: Relapses and epigenetics
- 47:11Q&A: Tumor removal
- 48:15Q&A: Practical implementation
- 49:17Q&A: Therapy personalization
- 50:22Q&A: Cancer prevention
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