AI in Medicine: Unlocking Precision Medicine through Omics and AI
- HMX
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Group Enrollment Option Popular with companies and institutions for team-wide training.
Learn how omics and AI are transforming the path to precision medicine.
- Online; Self-Paced
Enroll and gain access to course materials to complete at your own pace.
$495
Save and learn more with discounted multi‑course bundles or our all‑access HMX and HealthXcelerate Learning Pass.
Certificate
Earn a short course certificate of completion when you finish all coursework within 8 weeks.
3-4 Hours
Most people can expect to complete short courses in 3-4 hours.
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Overview
Precision medicine, which tailors medical treatment to the unique molecular and clinical characteristics of each patient, represents a transformative goal in health care, particularly for complex or rare diseases. However, the volume and complexity of the biological data generated for each patient is a significant barrier to developing this type of care. Much of this information is derived from omics technologies, which obtain information from multiple biological layers, including genomics, transcriptomics, proteomics, and metabolomics.
In this HMX Short Course, you will build an understanding of how AI can be used to interpret and integrate data to reveal hidden patterns that link the findings to disease mechanisms. Through interactive lessons taught by Harvard Medical School faculty, you will explore how generating predictions like these can inform personalized care decisions.
Building expertise in AI-driven omics equips learners to harness cutting-edge tools that redefine innovation across biomedical research, digital health, drug development, and patient-centered care.
Learning Objectives
- Learn about bulk and single-cell omics approaches and how omics data can be used to define cell types or states.
- Discover how machine learning approaches and foundation models are being used to analyze and integrate single-cell omics data.
- Explore applications of omics data and AI in precision medicine, such as biomarkers and drug targets.
Who Should Participate
Clinicians and health care professionals; biomedical researchers; and professionals in managerial roles in health care and related fields
About the Course
HMX short courses feature targeted lessons on the latest medical science topics and advancements. Stay up to date on essential knowledge in a format designed to fit your busy schedule.
Who Should Enroll
This course will benefit learners such as health care and clinical professionals seeking a strong understanding of how omics and AI are transforming the path to precision medicine.
Course Format
Most people can expect to spend 3-4 hours total on an HMX short course. To be considered for a short course certificate of completion, you must complete your coursework within eight weeks.
Extend Your Learning and Save More
Whether you are building your medical science knowledge, preparing for advanced study, or expanding your understanding of the health care ecosystem, combining courses helps you connect concepts across disciplines while saving on enrollment.
You can bundle up to five HMX or HealthXcelerate courses. Bundle discounts apply to all courses selected. A bundle can consist of courses in the same upcoming enrollment period or the following enrollment period.
Two-course bundle: 25% discount
Three-course bundle: 30% discount
Four-course bundle: 35% discount
Five-course bundle: 40% discount
View all bundle-eligible programs
With the HMX and HealthXcelerate Learning Pass, a $4,950 investment unlocks one year of unlimited enrollment to Harvard Medical School's portfolio of HMX and HealthXcelerate online courses, empowering you to advance your knowledge of health care and medical science in the areas that matter most to your goals. Start Learning
HMX and HealthXcelerate courses are ideal for organizations looking to train teams or larger groups. Group pricing is available, making it a cost-effective investment in team development.
Group Enrollments
HMX courses are ideal for organizations looking to train teams or larger groups. Group pricing is available, making it a cost-effective investment in team development.
Faculty
HMX courses are led by Harvard Medical School faculty, working in collaboration with a multi-disciplinary team of experts in biomedical visualization, assessment, and the science of learning to create a unique learning experience that will stay with you.
Saman Doroodgar Jorshery
MD, MPH
- Teaching Associate, Harvard Medical School
- Postdoctoral Scholar, Broad Institute of MIT and Harvard University
- AI in Medicine Curriculum Lead, HMX
Aparna Nathan
PhD
- Lecturer in Biomedical Informatics, Harvard Medical School
AI Learning Opportunities
From Our Learners
"It was clear that clarity and distillation of complex topics into an easy-to-follow narrative were front of mind during the course’s creation."
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