Accelerated Drug Discovery Using AI udemy Video Course download, Harnessing the Power of Artificial Intelligence in Drug Discovery in computational chemistry.
What you’ll learn
- Fundamentals of Drug Discovery: Understand the stages and processes involved in drug discovery, from target identification to clinical trials
- Introduction to AI and Machine Learning: Gain a solid foundation in AI and machine learning concepts, algorithms, and techniques.
- Data Sources and Preprocessing, Learn how to acquire, integrate, and preprocess diverse data sources used in drug discovery.
- Predictive Modeling: Master the art of building predictive models to identify potential drug targets, predict drug interactions, and assess pharmacokinetics .
- Drug Design and Optimization: Explore computational chemistry and molecular docking techniques for drug design and optimization.
- High-Throughput Screening and AI: Understand how AI is applied to high-throughput screening (HTS) and the identification of drug candidates.
- Drug Repurposing: Discover how AI can be used to find new uses for existing drugs, reducing development time and costs.
Course content
- Introduction
- Module 2: Data Sources and Preprocessing
- Module 3: Machine Learning Fundamentals
- Module 4: Predictive Modeling in Drug Discovery
- Module 5: Drug Design and Optimization
- Module 6: High-Throughput Screening and AI
- Module 7: Drug Repurposing and AI
- Module 8: Regulatory and Ethical Considerations
- Module 9: Industry Applications and Case Studies
Who this course is for:
- Researchers and Scientists: Scientists and researchers in the fields of pharmacology, chemistry, biology, and related disciplines who are interested in incorpor
- Pharmacologists and Drug Developers: Professionals involved in the pharmaceutical industry, including pharmacologists, medicinal chemists, and drug developers,
- Graduate and Postgraduate Students: Graduate students pursuing degrees in biology, chemistry, pharmacology, computer science, or related fields who want to spec
- Data Scientists and AI Engineers: Data scientists and AI engineers interested in transitioning to the pharmaceutical or biotechnology sectors.
- Entrepreneurs and Innovators: Individuals interested in starting AI-driven drug discovery startups or companies and want to understand the field’s fundamentals
- Healthcare Professionals: Healthcare professionals, such as clinicians and healthcare administrators, who want to gain insights into how AI can impact drug deve
Course details
- Video quality: MP4 | Video: h264, 1280 × 720
- Audio quality: Audio: AAC, 44.1 KHz, 2 Ch
- Video duration: 3h 43m
- Number of lessons: 09 Section and 32 lectures
- Language of instruction: English
- Compressed file size: 1.2 GB