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Quantifying Lung Structure in COPD and Solubility of Chemical Compounds

Offered By: Applied Algebraic Topology Network via YouTube

Tags

Topological Data Analysis Courses Medical Imaging Courses Persistent Homology Courses COPD Courses

Course Description

Overview

Explore two applications of topological data analysis in medicine and chemistry using persistent homology. Delve into a study on quantifying lung structure in Chronic Obstructive Pulmonary Disease (COPD) using CT scans, developing topological characteristics for patient classification and disease stratification. Then, examine the topological and geometric structure of chemical compounds to understand water solubility, crucial for medication design. Learn how these advanced analytical methods can provide valuable insights in complex medical diagnostics and pharmaceutical development.

Syllabus

Jacek Brodzki (11/13/18): Quantifying lung structure in COPD and solubility of chemical compounds


Taught by

Applied Algebraic Topology Network

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