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 Duration 21 hours

Course Outline

Intro to AI in Drug Discovery

  • Review of conventional drug discovery workflows
  • How AI is transforming the drug discovery landscape
  • Practical examples: Effective AI-led drug discovery initiatives

Machine Learning in Molecular Modeling

  • Fundamentals of molecular modeling and simulation
  • Applying ML to forecast molecular features
  • Developing predictive models for drug-target binding

Deep Learning for Virtual Screening

  • Overview of deep learning methods in drug discovery
  • Building deep neural networks for virtual screening purposes
  • Examples: AI-based virtual screening within pharmaceutical firms

AI for Lead Optimization and Drug Design

  • Methods for refining lead compounds
  • Predicting ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiles using AI
  • Embedding AI into the drug design workflow

AI in Clinical Trials

  • The contribution of AI to clinical trial design and oversight
  • Forecasting patient outcomes and side effects via AI models
  • Real-world applications: AI use cases in clinical research

Ethical Perspectives and Challenges in AI-Driven Drug Discovery

  • Moral implications of AI in drug development
  • Issues related to data privacy, algorithmic bias, and model transparency
  • Approaches to resolving ethical and regulatory hurdles

Recap and Future Directions

Requirements

  • Foundational knowledge of drug discovery and development lifecycle
  • Proficiency in Python programming
  • Working knowledge of machine learning principles

Target Audience

  • Scientists in the pharmaceutical industry
  • AI specialists and engineers
  • Researchers in biotechnology

Number of participants


Price per participant

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

2026-11-19 09:30
21 hours
København, Copenhagen
5208 EUR (Online)
5808 EUR (Classroom)

AI-Driven Drug Discovery and Development

2026-12-03 09:30
21 hours
Copenhagen, City Center
5208 EUR (Online)
5808 EUR (Classroom)

AI-Driven Drug Discovery and Development

2026-12-17 09:30
21 hours
København, Copenhagen
5208 EUR (Online)
5808 EUR (Classroom)

AI-Driven Drug Discovery and Development

2026-12-31 09:30
21 hours
Copenhagen, City Center
5208 EUR (Online)
5808 EUR (Classroom)

AI-Driven Drug Discovery and Development

2027-01-14 09:30
21 hours
København, Copenhagen
5208 EUR (Online)
5808 EUR (Classroom)

AI-Driven Drug Discovery and Development

2027-01-28 09:30
21 hours
Copenhagen, City Center
5208 EUR (Online)
5808 EUR (Classroom)

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