Basic Information
An Advanced Course Which Aims to Provide Students With The Understanding of The Various Technologies That Are Used in Medical Diagnostics. The Course Will Treat Medical Diagnostics As a Nested Application Focusing Initially On The Principles of Molecular Detection With Particular Focus On Selex and Elisa. Next, Fundamentals of Device and Readout of Molecular Interactions Via Biosensors For Diagnostic Tests in Medicine, Concepts of Transducers, Recognition Themes and Performance Factors Will Be Explored. Finally, Integration of Multiple Data Channels to Generate a Data Matrix For Detection and Treatment of a Medical Condition. The Course Will Cover Basic Topics of Data Analysis Including Analysis of High Dimensional Data, Dimensional Reduction, Clustering Analysis and Multiple Hypothesis Testing. Learning Outcomes# Upon Successful Completion Of The Course, The Students Will Have# 1. an Understanding of The Physical Principles Underlying Elisa and Selex. 2. an Understanding of The Introductory to Utilization of The Boltzmann Distribution. 3. an Understanding of The Ligand Binding Problem, Mass Action Kinetics, and Elements of Diffusion Theory. 4. an Ability to Identify Different Classes of Biosensors and Describe Their Functioning Principles. 5. an Understanding of The Principles and Concepts of Transducers And Their Application in Biosensor Design. 6. an Understanding of The Fundamentals of Diagnostic Devices And Biomarker Testing in Biological Fluids. 7. an Ability to Evaluate Quality of Biosensors and Terms Of Sensitivity, Specificity, Limit of Detection. 8. an Understanding of Dimensional Reduction Principles. 9. an Understanding What Clustering Analysis Is.
Faculty: Biotechnology and Food Engineering
|Undergraduate Studies
|Graduate Studies
Pre-required courses
64120 - Numerical Methods in Biotech and Food En