AIMC Topic: HIV Infections

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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...
Antiviral Agents Protein Binding Models, Molecular Bayes Theorem Molecular Conformation Molecular Structure Humans Quantitative Structure-Activity Relationship Machine Learning Hepacivirus Databases, Pharmaceutical Algorithms Hepatitis C Polypharmacology HIV-1 Drug Discovery HIV Infections Anti-HIV Agents
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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...
Clinical Decision-Making HIV Infections Reinforcement, Psychology Clinical Protocols Humans Machine Learning Algorithms
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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...
Adult Male Middle Aged Comorbidity Humans Machine Learning Brain Female Alcoholism HIV Infections Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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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...
Bayes Theorem HIV Reverse Transcriptase Inhibitors HIV Reverse Transcriptase Anti-HIV Agents Support Vector Machine Decision Trees Humans Neural Networks, Computer Machine Learning Databases, Factual Drug Discovery HIV Infections
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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 Diagnosis, Computer-Assisted HIV Infections Support Vector Machine Magnetic Resonance Imaging Adult Male Middle Aged Humans 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 HIV Infections Humans Aged Stroke Biomarkers Anti-Retroviral Agents Adult Female Malawi Cross-Sectional Studies Endothelial Cells Male
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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...
Point-of-Care Testing Drug Monitoring Anti-Retroviral Agents Humans Knowledge Bases Electronic Health Records Point-of-Care Systems HIV Infections Practice Guidelines as Topic Pharmacists
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A comparative study of logistic regression based machine learning techniques for prediction of early virological suppression in antiretroviral initiating HIV patients.

BMC medical informatics and decision making Sep 4, 2018
BACKGROUND: Treatment with effective antiretroviral therapy (ART) lowers morbidity and mortality among HIV positive individuals. Effective highly active antiretroviral therapy (HAART) should lead to undetectable viral load within 6 months of initiati...
Humans Machine Learning Logistic Models Treatment Outcome Predictive Value of Tests CD4 Lymphocyte Count Female HIV Infections Antiretroviral Therapy, Highly Active Adult Viral Load Male Anti-HIV Agents Cohort Studies
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Designing robot-assisted neurorehabilitation strategies for people with both HIV and stroke.

Journal of neuroengineering and rehabilitation Aug 14, 2018
There is increasing evidence that HIV is an independent risk factor for stroke, resulting in an emerging population of people living with both HIV and stroke all over the world. However, neurorehabilitation strategies for the HIV-stroke population ar...
HIV Infections Robotics Stroke Exercise Therapy Stroke Rehabilitation Humans Comorbidity
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A Machine Learning Approach for Predicting HIV Reverse Transcriptase Mutation Susceptibility of Biologically Active Compounds.

Journal of chemical information and modeling Jul 17, 2018
HIV resistance emerging against antiretroviral drugs represents a great threat to the continued prolongation of the lifespans of HIV-infected patients. Therefore, methods capable of predicting resistance susceptibility in the development of compounds...
HIV Reverse Transcriptase Point Mutation Drug Discovery HIV-1 Reverse Transcriptase Inhibitors Humans HIV Infections Drug Resistance, Viral Machine Learning Bayes Theorem Models, Biological
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