[HTML][HTML] Acquired HIV drug resistance mutations on first-line antiretroviral therapy in Southern Africa: Systematic review and Bayesian evidence synthesis
A Hauser, F Goldstein, ML Reichmuth… - Journal of clinical …, 2022 - Elsevier
… acquired drug resistance to NRTIs in Southern Africa among patients failing first-line ART and
… estimate the occurrence of several drug resistance mutations accounting for different study …
… estimate the occurrence of several drug resistance mutations accounting for different study …
Mechanisms of drug resistance in HCC
… in addition to sorafenib demonstrated a survival benefit in phase III clinical trials, which
include lenvatinib as first line, and regorafenib, cabozantinib, and ramucirumab as second …
include lenvatinib as first line, and regorafenib, cabozantinib, and ramucirumab as second …
The fourth national anti-tuberculosis drug resistance survey in Peru
N Quispe, L Asencios, C Obregon… - … of Tuberculosis and …, 2020 - ingentaconnect.com
… was estimated to be 5.6%,11 resistance to firstline drugs has steadily increased to 8.3% in …
drug resistance survey. Our objective was to estimate the proportion of drug resistance among …
drug resistance survey. Our objective was to estimate the proportion of drug resistance among …
Recent updates on drug resistance in Mycobacterium tuberculosis
R Singh, SP Dwivedi, US Gaharwar… - Journal of applied …, 2020 - academic.oup.com
… basis for evolution of Mtb drug resistance. This narrative and traditional … and drug resistance
mechanisms in Mtb. The aim of this review is to provide recent updates on drug resistance …
mechanisms in Mtb. The aim of this review is to provide recent updates on drug resistance …
Modeling the mechanism pathways of first line drug in Tuberculosis using Petri nets
… The two main problems in prevention tuberculosis is the late and incomplete diagnosis
and the drug resistance of the First Line and Second Line Drugs. In this paper, we have …
and the drug resistance of the First Line and Second Line Drugs. In this paper, we have …
[HTML][HTML] Anticancer drug resistance: An update and perspective
R Nussinov, CJ Tsai, H Jang - Drug Resistance Updates, 2021 - Elsevier
… In the current review we ask: Are drug resistance mechanisms that emerge following … lead
to the same drug resistance modality? This question portends critical drug treatment decisions (…
to the same drug resistance modality? This question portends critical drug treatment decisions (…
Challenges and opportunities in cancer drug resistance
RA Ward, S Fawell, N Floc'h, V Flemington… - Chemical …, 2020 - ACS Publications
… These observations led to additional drug discovery efforts to target the drug resistance
L119M mutation. In addition, a wider range of drug resistant mutations were observed such as …
L119M mutation. In addition, a wider range of drug resistant mutations were observed such as …
Bedaquiline Drug Resistance Emergence Assessment in Multidrug-Resistant Tuberculosis (MDR-TB): a 5-Year Prospective In Vitro Surveillance Study of Bedaquiline …
K Kaniga, R Hasan, R Jou… - Journal of Clinical …, 2022 - Am Soc Microbiol
… drug susceptibility testing (pDST) to guide anti-TB therapies minimizes the risk of developing
resistance … tuberculosis routine pDST and drug resistance surveillance (DRS) are the solid-…
resistance … tuberculosis routine pDST and drug resistance surveillance (DRS) are the solid-…
DRESIS: the first comprehensive landscape of drug resistance information
X Sun, Y Zhang, H Li, Y Zhou, S Shi… - Nucleic acids …, 2023 - academic.oup.com
… In this study, a comprehensive database describing drug resistance information named ‘…
, for the first time, all existing types of molecular mechanisms underlying drug resistance, (ii) …
, for the first time, all existing types of molecular mechanisms underlying drug resistance, (ii) …
Accurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN
… Here, we present our study of MTB drug resistance classification using traditional ML
methods (LR and RF) and a deep neural network architecture of 1D CNN on a large and diverse …
methods (LR and RF) and a deep neural network architecture of 1D CNN on a large and diverse …
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