MTB

AMR Alert | Antibiotic Resistance | COVID-19 | Covid-19 News | Drug Discovery | Paper Summary | Precision Medicine

Benefits and Challenges of ‘One-Size-Fits-All’ Anti-Tuberculosis Treatment Strategies
ByTanveen Kaur May 1, 2022October 22, 2026

An expert scientist affiliated with the Center for Discovery and Innovation and a colleague from Harvard T.H. Chan School of Public Health discussed the challenges and priorities in the anti-tuberculosis treatment strategies and drug development. The study published in Nature Reviews Microbiology this week suggests that the preclinical and clinical anti-tuberculosis treatment methodologies depicted in…

Read More Benefits and Challenges of ‘One-Size-Fits-All’ Anti-Tuberculosis Treatment Strategies
AMR Alert | Antibiotic Resistance | Bioinformatics | Deep Learning | Machine Learning | News | Paper Summary

Scientists Develop a Deep Learning Model for Predicting Tuberculosis Drug Resistance from Genomic Sequence Data
BySwati Yadav February 18, 2022November 8, 2022

The Researchers at The University of Chicago, Chicago, developed 24 binary classifiers of MTB drug resistance condition across eight anti-MTB drugs and three different Machine Learning algorithms: logistic regression, random forest, and 1D CNN with the use of a training dataset of 10,575 MTB isolates obtained from 16 countries, where an extended pan-genome reference was…

Read More Scientists Develop a Deep Learning Model for Predicting Tuberculosis Drug Resistance from Genomic Sequence Data

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Benefits and Challenges of ‘One-Size-Fits-All’ Anti-Tuberculosis Treatment Strategies

Scientists Develop a Deep Learning Model for Predicting Tuberculosis Drug Resistance from Genomic Sequence Data

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