AI CERTs

AI in Healthcare & Drug Discovery

AI CERTs

AI in Healthcare & Drug Discovery

AI CERTs Team

Instructor: AI CERTs Team

Access provided by Pak Portal 25

2,183 already enrolled

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Accelerate Drug Discovery with AI: Use AI for target identification, molecule design, virtual screening, and early-stage research decisions.

  • Improve Clinical Research Workflows: Apply predictive models to support trial planning, patient selection, safety monitoring, and endpoint analysis.

  • Automate Research Tasks: Use AI to streamline data cleaning, literature review, research analysis, and high-throughput biomedical tasks.

  • Strengthen Evidence-Based Decisions: Interpret clinical and biomedical data more effectively to support faster, well-informed healthcare decisions.

Details to know

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Assessments

8 assignments

Taught in English

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There are 9 modules in this course

Introduces the core concepts of Artificial Intelligence (AI) and its applications across the pharmaceutical industry. This module covers AI fundamentals, machine learning concepts, healthcare data ecosystems, and how AI is transforming drug development, research, operations, and decision-making in pharma.

What's included

6 videos1 assignment1 plugin

Explores how AI is accelerating drug discovery and development through computational approaches. Learners will understand AI applications in target identification, molecule generation, virtual screening, molecular modeling, and optimization of drug candidates to improve speed, efficiency, and success rates.

What's included

6 videos1 assignment1 plugin

Examines the role of AI in designing, managing, and optimizing clinical trials. This module covers patient recruitment, trial design, data analysis, real-world evidence generation, predictive analytics, and AI-powered solutions that enhance clinical trial efficiency and outcomes.

What's included

6 videos1 assignment1 plugin

Introduces the integration of AI with genomics, proteomics, and other multi-omics data to enable personalized healthcare approaches. Learners will explore how AI helps identify biomarkers, stratify patients, predict treatment responses, and support precision medicine strategies.

What's included

5 videos1 assignment1 plugin

Explores AI applications in regulatory processes, scientific documentation, and drug safety monitoring. This module covers AI-assisted medical writing, regulatory submission support, literature analysis, adverse event detection, signal management, and automation of pharmacovigilance workflows.

What's included

4 videos1 assignment1 plugin

Focuses on the responsible adoption of AI within pharmaceutical organizations. Learners will examine AI governance frameworks, data privacy, regulatory expectations, transparency, bias mitigation, validation requirements, and ethical considerations for safe and trustworthy AI implementation.

What's included

4 videos1 assignment1 plugin

Explores emerging AI innovations shaping the future of the pharmaceutical industry. This module covers generative AI, digital twins, AI-powered automation, advanced analytics, and future trends that are expected to influence research, development, manufacturing, and healthcare delivery.

What's included

4 videos1 assignment1 plugin

Provides an opportunity to apply AI concepts and industry knowledge to a practical pharmaceutical use case. Learners will develop a project involving AI strategy, problem identification, solution design, and evaluation while demonstrating how AI can address real-world challenges in pharma.

What's included

1 video1 assignment1 plugin

What's included

7 videos

Instructor

AI CERTs Team
AI CERTs
62 Courses63,411 learners

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AI CERTs

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