Mathematical and Machine Learning Approaches to Predicting Drug Penetration in Heterogeneous Tuberculosis Lesions.

Rayfield, Adam.
2018

Tuberculosis is among the most widespread infectious diseases in the modern world. The disease is characterized by the lesions, or granulomata, which its infection form in the lungs, which are resilient to antibiotic penetration and can cause latent, chronic infections. Current research aims to improve predictions of tuberculosis disease outcomes and improve therapy by studying tuberculosis throug... read more

This object is in collection:
Undergraduate Honors Theses
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Tufts University. Department of Biomedical Engineering.
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http://hdl.handle.net/10427/015405
ID: tufts:sd.0000821
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