AI+ Pharma™

Price
Net: 397,00 €
VAT.: 75,43 €

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

Request a consultation Add to favorites Print as PDF

AI is bringing new momentum to modern drug development. Precise data analysis, automated workflows, and smart models are creating space for faster decisions and innovative research approaches. This text introduces a forward-looking practice that combines efficiency, quality, and scientific depth.

Key topics

AI-supported analysis of pharmaceutical data.
Automation of preclinical and clinical processes.
Drug discovery with generative models.
Quality and risk assessment through predictive analytics.
Use of modern AI tools for regulatory documentation.

Prerequisite
Basic understanding of pharmaceutical processes and interest in data-oriented methods.

Target group
Professionals from research, production, quality assurance, regulatory, and related fields who want to integrate AI in a meaningful way.

A combination of technological progress and clear processes creates a foundation for innovative pharmaceutical work. AI opens up sustainable ways to advance research and development safely, quickly, and efficiently.

Print as PDF

course content

Fundamentals of AI for the pharmaceutical industry

Fundamentals of AI and machine learning
AI algorithms and models
Use case: Predictive models for adverse drug reactions and drug interactions using historical patient data.
Practical exercise: Creating prediction models with a no-code tool (Teachable Machine).

AI in drug research and development

AI in molecular drug design
AI in drug repurposing
Use case: Successes in AI-supported repurposing of drugs (COVID-19 therapeutics).
Practical example: Practical AI-supported molecular design and repurposing of drugs with the Orange Data Mining Tool.
Practical example 2: Investigation of correlations between diseases and drugs with EpiGraphDB.

Optimizing clinical trials with AI

AI-supported patient recruitment
Clinical data management and monitoring
Use case: AI-supported analyses by Pfizer to optimize clinical trials.
Practical example: Implementation of clinical data analysis using no-code platforms (KNIME).

Precision medicine and genomics

Personalized treatment strategies
Discovery of biomarkers
Case study: AI-assisted discovery and validation of biomarkers in cancer treatment.
Practical approach: Practical genome analysis—exploring AI-assisted genome information using CBioPortal.

Regulatory and ethical AI in the pharmaceutical industry

Ethical considerations and AI governance
AI compliance and regulatory frameworks
Case study: Analysis of ethical and regulatory challenges in large AI-driven pharmaceutical initiatives.
Practical: Development of AI governance strategies based on ethical frameworks.
Practical: Literature research with LitVar 2.0

Implementation of AI in pharmaceutical projects

AI project management
Evaluation of AI tools and ROI
Practical: Practical AI project management with Airtable for tracking, collaboration, and administration.

Future trends and sustainability in pharmaceutical AI

Emerging AI technologies in the pharmaceutical industry
AI for sustainable healthcare
Case study: Analysis of sustainability initiatives driven by AI in leading companies in the pharmaceutical industry.
Practical: Scenario planning and predictive analytics using dashboards for future-oriented decisions.

Capstone project

Capstone Project 1: Predictive models for adverse drug reactions in polypharmacy.
Capstone Project 2: AI-supported recruitment and retention of participants for clinical trials.
Capstone Project 3: AI-supported drug design for rare diseases.
Evaluation scheme for capstone projects.

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What is AI+ Pharma™?

A specialized course on the use of artificial intelligence in pharmaceutical research, development, and clinical application.

What prior knowledge is required for AI+ Pharma™?

Basic knowledge of pharmaceuticals, life sciences, or IT is helpful but not essential. The introduction is structured in an easy-to-understand way.

What digital tools are at the heart of AI+ Pharma™?

Tools such as KNIME, CBioPortal, Orange, and Teachable Machine are used—specifically selected for data-driven processes in research, diagnostics, and development.

For which professional groups is AI+ Pharma™ suitable?

Designed for professionals in pharmacy, biotech, research, IT, data analysis, clinical trials, or regulatory fields.

What benefits does AI+ Pharma™ offer in everyday working life?

Improves understanding of digital processes, enables data-driven decisions, and increases efficiency in research and development.

Is AI+ Pharma™ also suitable for beginners?

The course is also suitable for AI novices with a pharmaceutical background, as it is structured in a systematic and understandable way.

Is there a certificate for AI+ Pharma™?

Upon successful completion, a recognized certificate will be issued—ideal for professional qualification and career development.

Why is AI+ Pharma™ particularly worthwhile right now?

Pharmaceuticals and life sciences are facing a digital transformation. This course provides the knowledge needed to actively shape this development.

Do you have any further questions? Please contact us.

Select your nearest center: *

0800 258 258 055

website@newhorizons.de

First Name *

Surname *

Telephone Number *

Postcode *

E-Mail *

I would like to receive funding for further training – I am currently: *

Company Name

Your message

I hereby confirm that I have taken note of the privacy notice. *