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HIV Infections

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A comparison of machine learning techniques for classification of HIV patients with antiretroviral therapy-induced mitochondrial toxicity from those without mitochondrial toxicity.

BMC medical research methodology Nov 27, 2019
BACKGROUND: Antiretroviral therapy (ART) has significantly reduced HIV-related morbidity and mortality. However, therapeutic benefit of ART is often limited by delayed drug-associated toxicity. Nucleoside reverse transcriptase inhibitors (NRTIs) are ...
Humans Machine Learning Anti-Retroviral Agents Deoxyribonucleotides Ribonucleotides Dideoxynucleotides Algorithms Biomarkers Case-Control Studies HIV Infections
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Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates.

Scientific reports Oct 11, 2019
Broadly neutralizing antibodies (bNAbs) targeting the HIV-1 envelope glycoprotein (Env) have promising utility in prevention and treatment of HIV-1 infection, and several are currently undergoing clinical trials. Due to the high sequence diversity an...
Neutralization Tests env Gene Products, Human Immunodeficiency Virus Binding Sites, Antibody Prognosis Broadly Neutralizing Antibodies Deep Learning Humans Immunoglobulin Idiotypes Data Accuracy HIV Infections Computer Simulation HIV-1 Drug Resistance, Viral HIV Antibodies Epitope Mapping
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Target-Specific Prediction of Ligand Affinity with Structure-Based Interaction Fingerprints.

Journal of chemical information and modeling Aug 19, 2019
Discovery and optimization of small molecule inhibitors as therapeutic drugs have immensely benefited from rational structure-based drug design. With recent advances in high-resolution structure determination, computational power, and machine learnin...
Molecular Docking Simulation Drug Design Drug Discovery HIV Infections Humans Machine Learning HIV Protease HIV Protease Inhibitors Protein Binding HIV-1 Ligands
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Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method.

International journal of molecular sciences Jul 22, 2019
Human immunodeficiency virus type-1 and hepatitis C virus (HIV/HCV) coinfection occurs when a patient is simultaneously infected with both human immunodeficiency virus type-1 (HIV-1) and hepatitis C virus (HCV), which is common today in certain popul...
Hepatitis C HIV-1 Molecular Conformation Quantitative Structure-Activity Relationship Molecular Structure Bayes Theorem Hepacivirus Databases, Pharmaceutical Polypharmacology Machine Learning Algorithms Drug Discovery HIV Infections Anti-HIV Agents Humans Antiviral Agents Protein Binding Models, Molecular
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Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in health care domains. However, existing studies simply apply naive RL algorithms in discovering optimal treatment strategies...
Humans HIV Infections Machine Learning Reinforcement, Psychology Algorithms Clinical Protocols Clinical Decision-Making
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Novel Machine Learning Identifies Brain Patterns Distinguishing Diagnostic Membership of Human Immunodeficiency Virus, Alcoholism, and Their Comorbidity of Individuals.

Biological psychiatry. Cognitive neuroscience and neuroimaging Mar 1, 2019
The incidence of alcohol use disorder (AUD) in human immunodeficiency virus (HIV) infection is twice that of the rest of the population. This study documents complex radiologically identified, neuroanatomical effects of AUD+HIV comorbidity by identif...
Male Machine Learning Middle Aged Magnetic Resonance Imaging Brain Comorbidity Humans Image Interpretation, Computer-Assisted HIV Infections Female Alcoholism Adult
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Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets.

Molecular pharmaceutics Feb 26, 2019
The human immunodeficiency virus (HIV) causes over a million deaths every year and has a huge economic impact in many countries. The first class of drugs approved were nucleoside reverse transcriptase inhibitors. A newer generation of reverse transcr...
Databases, Factual Drug Discovery HIV Infections Anti-HIV Agents Support Vector Machine Decision Trees Bayes Theorem HIV Humans Neural Networks, Computer Machine Learning Reverse Transcriptase Inhibitors HIV Reverse Transcriptase
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Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI.

Computers in biology and medicine Jan 15, 2019
HIV-associated neurocognitive disorders (HAND) represent an important source of neurologic complications in individuals with HIV. The dynamic, often subclinical, course of HAND has rendered diagnosis, which currently depends on neuropsychometric (NP)...
Neurocognitive Disorders HIV Infections Adult Support Vector Machine Male Magnetic Resonance Imaging Middle Aged Humans Diagnosis, Computer-Assisted Brain Female
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HIV is associated with endothelial activation despite ART, in a sub-Saharan African setting.

Neurology(R) neuroimmunology & neuroinflammation Dec 21, 2018
OBJECTIVE: To study the relationship between endothelial dysfunction, HIV infection, and stroke in Malawians.
Middle Aged Aged Malawi Humans Adult Biomarkers HIV Infections Endothelial Cells Cross-Sectional Studies Female Stroke Male Anti-Retroviral Agents
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Validation of the Behavior of a Knowledge Base Implementing Clinical Guidelines for Point-of-Care Antiretroviral Toxicity Monitoring.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
This study investigated the automated detection of antiretroviral toxicities in structured electronic health records data. The evaluation compared responses generated by 5 clinical pharmacists and 1 prototype knowledge-based application for 15 random...
Drug Monitoring Anti-Retroviral Agents Knowledge Bases Practice Guidelines as Topic Humans Pharmacists Point-of-Care Systems Electronic Health Records HIV Infections Point-of-Care Testing
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