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Transfusion transmitted infections in thalassaemics: need for reappraisal of blood screening strategy in India
V Shyamala - Transfusion medicine, 2014 - Wiley Online Library
The aim of the study was to assess the blood safety in India through prevalence in
thalassaemic population. Safety of the blood supply is a subject of great concern for all …
thalassaemic population. Safety of the blood supply is a subject of great concern for all …
Combination of least absolute shrinkage and selection operator with Bayesian Regularization artificial neural network (LASSO-BR-ANN) for QSAR studies using …
A combination of least absolute shrinkage and selection operator (LASSO) with Bayesian
Regularization feed-forward artificial neural network (LASSO-BR-ANN) was used as a new …
Regularization feed-forward artificial neural network (LASSO-BR-ANN) was used as a new …
Characterizing early drug resistance-related events using geometric ensembles from HIV protease dynamics
The use of antiretrovirals (ARVs) has drastically improved the life quality and expectancy of
HIV patients since their introduction in health care. Several millions are still afflicted …
HIV patients since their introduction in health care. Several millions are still afflicted …
[HTML][HTML] Assessment of a computational approach to predict drug resistance mutations for HIV, HBV and SARS-CoV-2
Viral resistance is a worldwide problem mitigating the effectiveness of antiviral drugs.
Mutations in the drug-targeting proteins are the primary mechanism for the emergence of …
Mutations in the drug-targeting proteins are the primary mechanism for the emergence of …
Machine learning to improve the effectiveness of ANRS in predicting HIV drug resistance
Y Singh - Healthcare informatics research, 2017 - synapse.koreamed.org
Objectives Human immunodeficiency virus infection and acquired immune deficiency
syndrome (HIV/AIDS) is one of the major burdens of disease in develo** countries, and …
syndrome (HIV/AIDS) is one of the major burdens of disease in develo** countries, and …
Predicting, Diagnosing, and treating Acute and early HIV infection in a Public Sector Facility in Eswatini
B Kerschberger, A Aung, Q Mpala… - JAIDS Journal of …, 2021 - journals.lww.com
Background: The lack of acute and early HIV infection (AEHI) diagnosis and care contributes
to high HIV incidence in resource-limited settings. We aimed to assess the yield of AEHI …
to high HIV incidence in resource-limited settings. We aimed to assess the yield of AEHI …
Antiretroviral drug resistance among antiretroviral‐naïve and treatment experienced patients infected with HIV in Iran
Resistance to antiretroviral therapy (ART) threatens the success of programs to reduce HIV
morbidity and mortality, particularly in countries with few treatment options. In the present …
morbidity and mortality, particularly in countries with few treatment options. In the present …
RHIVDB: a freely accessible database of HIV amino acid sequences and clinical data of infected patients
O Tarasova, A Rudik, D Kireev, V Poroikov - Frontiers in genetics, 2021 - frontiersin.org
Human immunodeficiency virus (HIV) infection remains one of the most severe problems for
humanity, particularly due to the development of HIV resistance. To evaluate an association …
humanity, particularly due to the development of HIV resistance. To evaluate an association …
Primary HIV Drug Resistance among Recently Infected Cases of HIV in North‐West India
CK Chauhan, PVM Lakshmi, V Sagar… - AIDS Research and …, 2019 - Wiley Online Library
Background. Antiretroviral treatment may lead to the emergence of HIV drug resistance,
which can be transmitted. HIV primary drug resistance (PDR) is of great public health …
which can be transmitted. HIV primary drug resistance (PDR) is of great public health …
Prediction and molecular field view of drug resistance in HIV-1 protease mutants
B Wang, Y He, X Wen, Z ** - Scientific Reports, 2022 - nature.com
Conquering the mutational drug resistance is a great challenge in anti-HIV drug
development and therapy. Quantitatively predicting the mutational drug resistance in …
development and therapy. Quantitatively predicting the mutational drug resistance in …