This course introduces the essential concepts of genomics and how they are shaping the future of personalized healthcare. With the rapid advancement in genetic technologies, healthcare providers and researchers are now able to understand patient differences at the genetic level and tailor treatments accordingly.

Participants will explore how genomic data is used in disease prediction, prevention, and treatment. The course highlights real-world applications in oncology, pharmacogenomics, rare diseases, and more. It aims to bridge the gap between scientific innovation and practical clinical care.

By the end of this course, participants will be able to:

Understand the basic structure and function of the human genome.
Explain how genomics influences disease risk and drug response.
Discuss the role of personalized medicine in improving patient outcomes.
Analyze case studies where genomics has guided clinical decision-making.
Identify ethical and legal considerations in using genetic data.
Apply genomic knowledge in clinical or research settings.

This course is ideal for:

Healthcare professionals (physicians, nurses, pharmacists).
Clinical researchers and medical scientists.
Public health professionals.
Students in health sciences or biomedical fields.
Policy makers in healthcare innovation.

Participants will learn through instructor-led presentations, interactive videos, and real patient case examples. The course includes short quizzes, discussions on ethical dilemmas, and downloadable genetic report templates and tools to practice data interpretation.

Day 5 of each course is reserved for a Q&A session, which may occur off-site. For 10-day courses, this also applies to day 10

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ID	التواريخ المتاحة	المدينة	الرسوم	الإجراءات

Course Content

Section 1: Introduction to Genomics

Overview of DNA, genes, and the human genome.
Types of genetic variation (e.g., SNPs, mutations).
The Human Genome Project and its impact.
Genomic data in healthcare.

Section 2: Fundamentals of Personalised Medicine

What is personalised vs. precision medicine?
Role of genetics in individual variability.
How genetic data supports treatment choices.
Real-world examples in chronic and rare diseases.

Section 3: Genomic Technologies and Tools

Next-generation sequencing (NGS).
Microarray analysis and gene panels.
Interpreting genetic test results.
Bioinformatics basics for clinicians.

Section 4: Pharmacogenomics

How genetics affects drug metabolism.
Common gene-drug interactions.
Personalised prescriptions and dosing.
Preventing adverse drug reactions.

Section 5: Cancer Genomics and Targeted Therapy

Understanding cancer at the molecular level.
Genomic profiling in tumor diagnosis.
Targeted therapies and immunogenomics.
Case studies: Breast, lung, and colon cancers.

Section 6: Ethical, Legal & Social Issues

Informed consent in genetic testing.
Genetic privacy and data protection.
Discrimination risks and genetic counseling.
National and global policy frameworks.

Section 7: Clinical Integration and Future Trends

How to implement genomic medicine in practice.
Multidisciplinary team roles in genomics.
The future of genome editing (e.g., CRISPR).
Trends in AI and machine learning in genomics.

Certificate Details

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