BIOE5860 — Engineering Approaches to Precision Medicine I: Reviews & Ratings

BIOE5860 (Engineering Approaches to Precision Medicine I) course reviews and ratings at Northeastern (NEU). Compare professors with RateMyProfessor reviews.

Covers the field of biomedical data science. Teams of students undertake projects solicited from biomedical PIs in broad areas of biomedical research, using datasets and developing a project work plan. Studies how to estimate a patient’s state of health using their health data and to use modeling and machine learning methods to project that health state to make personalized predictions. Includes lectures on physiology, medicine, and engineering principles (probability, machine learning) relevant to each project; faculty mentors assist student projects with challenges. Requires project updates to the class at regular intervals so that teams gain experience with presenting.

Last taught
Spring 2026
Credits
4 Hours
Prerequisites
(MATH 2341 with a minimum grade of D- or MATH 315M with a minimum grade of D- or MATH 2331 with a minimum grade of D- ) or graduate program admission

Data updated October 2026.

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