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Precision Medicine: From Genomics to Clinical Decisions

Hamad Bin Khalifa University via edX

Overview

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Genomic and multi-omic data are moving out of the research setting and into routine care. Results are arriving in clinics faster than most professionals were trained to interpret them.

This course gives you a working understanding of precision medicine across its full arc, from the molecular biology underneath it to the clinical decision at the end of it.

You will start with what precision medicine is and how it differs from traditional care, then build the genetic and genomic foundations: genes and the central dogma, DNA replication, mutations and genetic variation, the Human Genome Project, pharmacogenomics, and the omics technologies now used in practice.

From there, the course moves into the data layer that makes precision medicine possible: bioinformatics databases and genomic analysis pipelines, machine learning algorithms, supervised and unsupervised learning, and data mining in healthcare. It then turns to functional genomics and advanced genetic tools, including CRISPR-Cas9 gene editing.

The clinical applications module covers disease risk prediction and the role of AI within it, molecular diagnosis of genetic disorders, molecular markers of prognosis, and predicting drug response.

The course closes where implementation actually gets difficult: the ethical principles of privacy and confidentiality, incidental findings, consent and trust, alongside the regulatory agencies and governance planning that determine whether precision medicine reaches patients at all.

It is designed for physicians, nurses, pharmacists, and laboratory scientists encountering genomic results in practice; for researchers and graduate students moving into genomics; and for health administrators and policy staff who need a working grasp of what precision medicine changes.

The course is free to audit. A verified certificate from Hamad Bin Khalifa University is available for those who want a credential to share.

Syllabus

  • Interpret the core concepts of molecular genetics and genomics as they apply to patient care
  • Evaluate omics technologies and what each can and cannot establish
  • Apply bioinformatics databases and genomic analysis pipelines to genomic data
  • Distinguish supervised and unsupervised machine learning and select an appropriate algorithm for a precision medicine problem
  • Apply precision medicine reasoning to disease risk prediction, molecular diagnosis, prognosis, and drug response
  • Explain how functional genomics and tools such as CRISPR-Cas9 establish gene function
  • Evaluate the ethical questions raised by genomic medicine: privacy, incidental findings, consent, and trust
  • Identify the regulatory and governance barriers to implementing precision medicine in a health system

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