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 Duration 21 hours

Course Outline

Foundations of AI in Drug Discovery

  • Examination of conventional drug discovery workflows
  • How AI is driving innovation in drug research
  • Real-world examples: Notable AI-powered drug discovery initiatives

Machine Learning for Molecular Modeling

  • Core concepts in molecular modeling and simulation
  • Using machine learning to estimate molecular attributes
  • Developing models to predict interactions between drugs and targets

Deep Learning for Virtual Screening

  • Introduction to deep learning applications in drug research
  • Building deep neural networks to execute virtual screening tasks
  • Industry insights: AI-driven virtual screening at leading pharma companies

AI in Lead Optimization and Drug Design

  • Strategies for enhancing lead compound efficacy
  • Leveraging AI to forecast ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) profiles
  • Embedding AI tools into the broader drug design workflow

AI in Clinical Trials

  • The function of AI in structuring and overseeing clinical trials
  • Forecasting patient outcomes and side effects through AI models
  • Practical examples: AI implementation in clinical trial settings

Ethics and Challenges in AI-Driven Drug Discovery

  • Moral implications of using AI in drug research
  • Obstacles related to data security, algorithmic bias, and model transparency
  • Approaches to resolving ethical and regulatory hurdles

Conclusion and Future Directions

Requirements

  • Proficiency in standard drug discovery and development procedures
  • Programming expertise in Python
  • Solid grasp of core machine learning principles

Intended Audience

  • Scientists in the pharmaceutical sector
  • AI experts and data scientists
  • Researchers in biotechnology

Number of participants


Price per participant (excl. VAT)

Open Training Courses require 5+ participants.

Testimonials (2)

Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.

Matthew Gay - Tarsus Pharmaceuticals
Course - Artificial Intelligence (AI) Overview

The training was organized and well-planned out, and I come out of it with systematized knowledge and a good look at topics we looked at

Magdalena - Samsung Electronics Polska Sp. z o.o.
Course - Deep Learning with TensorFlow 2

Upcoming Courses

AI-Driven Drug Discovery and Development

2026-11-23 09:30
21 hours
Potsdam
5208 EUR (Online)
5808 EUR (Classroom)

AI-Driven Drug Discovery and Development

2026-12-07 09:30
21 hours
Hamburg
5208 EUR (Online)
5808 EUR (Classroom)

AI-Driven Drug Discovery and Development

2026-12-21 09:30
21 hours
Munich
5208 EUR (Online)
5808 EUR (Classroom)

AI-Driven Drug Discovery and Development

2027-01-04 09:30
21 hours
Köln
5208 EUR (Online)
5808 EUR (Classroom)

AI-Driven Drug Discovery and Development

2027-01-18 09:30
21 hours
Frankfurt am Main
5208 EUR (Online)
5808 EUR (Classroom)

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