Pharmaceutical and AI: Machine Learning Applications
This innovative training module offers an essential pathway to understand how pharmaceutical artificial intelligence is transforming the health sector. Participants will be introduced to key concepts such as machine learning in pharmacology, deep learning for drug discovery, and NLP in the pharmaceutical field, emphasizing the transition from traditional methods to state‐of‐the‐art solutions.
Why This Course
Discover how pharmaceutical artificial intelligence is revolutionizing the health sector. The course “Pharmaceutical and AI: Machine Learning Applications” provides advanced tools such as machine learning in pharmacology, deep learning for drug discovery and NLP in the pharmaceutical field to personalize treatments and improve quality of life. Join us and transform your vision into innovation: the future of medicine begins with you.
What You Will Learn
- Understand the fundamentals of machine learning and artificial intelligence applied to the pharmaceutical sector, transforming data into strategic knowledge.
- Develop skills in analyzing and interpreting large healthcare datasets to enhance clinical decision-making.
- Learn how to design and use predictive models for optimizing the research and development of new drugs.
- Evaluate the impact of AI in managing and personalizing treatments, contributing to better patient care through personalization.
- Explore real-case examples and best practices, integrating ethical and regulatory aspects for responsible and innovative application.
Table of Contents
- Module 1: Fundamentals of Artificial Intelligence and Enabling Technologies (Machine Learning, Deep Learning and NLP)
- Module 2: From Theory to Advanced Models – Transitioning from Traditional Systems to AI Solutions in the Pharmaceutical Field
- Module 3: Practical Applications in the Pharmaceutical Industry (Drug Discovery, Treatment Personalization, Production Optimization)
- Module 4: Clinical Decision Support, Post-Marketing Monitoring, Case Studies, Best Practices and Ethical & Regulatory Aspects
Who It’s For
- Clinical Pharmacist: For updating treatment personalization practices and managing clinical data through machine learning.
- Specialized Pharmaceutical Data Scientist: For applying machine learning techniques in the discovery and development of new drugs.
- Pharmaceutical Researcher: For integrating predictive models in experimentation and data analysis phases.
- Health Informatics Specialist: To optimize healthcare information systems with AI innovation.
- Digital Transformation Manager in Pharmaceuticals: To lead technological change and adopt machine learning in business processes.
- AI Consultant for the Pharmaceutical Sector: To develop and implement tailored artificial intelligence solutions for the industry.
Course Details
- Duration: 4 hours
- Cost: €400
- Mode: Individual or group sessions
- Quote for Large Classes: Option to request a personalized offer for larger groups
- Delivery: Online
- Practical Applications: Includes hands-on exercises and project work
- Professional Certificate: Awarded certificate to enhance your CV and LinkedIn profile
