AIMC Topic: Drug Therapy, Combination

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Physicochemical stability of an admixture of lidocaine and ketamine in polypropylene syringe used in opioid-free anaesthesia.

European journal of hospital pharmacy : science and practice Oct 18, 2019
OBJECTIVES: Opioid-free anaesthesia is a treatment strategy of pain management based on the use of drugs such as lidocaine, ketamine and dexmedetomidine that do not interact significantly with opioid receptors. In particular, these drugs are used by ...
Analgesics, Opioid Humans Anesthesia Chromatography, High Pressure Liquid Lidocaine Ketamine Chemical Phenomena Drug Stability Anesthetics, Local Polypropylenes Drug Therapy, Combination Analgesics Syringes
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Designing combination therapies with modeling chaperoned machine learning.

PLoS computational biology Sep 9, 2019
Chemotherapy resistance is a major challenge to the effective treatment of cancer. Thus, a systematic pipeline for the efficient identification of effective combination treatments could bring huge biomedical benefit. In order to facilitate rational d...
Humans Machine Learning Models, Biological Cisplatin Drug Therapy, Combination TNF-Related Apoptosis-Inducing Ligand Drug Therapy, Computer-Assisted Algorithms Neoplasms Antineoplastic Agents Computational Biology Signal Transduction
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Estimating the association between antibiotic exposure and colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria using machine learning methods: a multicentre, prospective cohort study.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases May 23, 2019
OBJECTIVES: The aim of the study was to measure the impact of antibiotic exposure on the acquisition of colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria (ESBL-GNB) accounting for individual- and group-level confounding...
Humans Machine Learning Romania Middle Aged Adolescent Incidence Italy Hospitalization Anti-Bacterial Agents Prospective Studies Aged beta-Lactamases Female Drug Therapy, Combination Young Adult Risk Factors Serbia Adult Gram-Negative Bacteria Male Gram-Negative Bacterial Infections
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DrugR+: A comprehensive relational database for drug repurposing, combination therapy, and replacement therapy.

Computers in biology and medicine May 8, 2019
Drug repurposing or repositioning, which introduces new applications of the existing drugs, is an emerging field in drug discovery scope. To enhance the success rate of the research and development (R&D) process in a cost- and time-effective manner, ...
Supervised Machine Learning Drug Therapy, Combination Databases, Pharmaceutical Humans Drug Repositioning Internet
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Ritonavir-boosted paritaprevir, ombitasvir plus ribavirin could improve eGFR in patients with renal impairment and HCV: an Egyptian cohort.

Expert review of gastroenterology & hepatology Nov 13, 2018
BACKGROUND: The present study aimed at evaluation of changes in estimated glomerular filtration rate (eGFR) among chronic Hepatitis C virus (HCV) patients with chronic kidney disease (CKD) Stages 3-5 who were treated with 12 weeks of ritonavir-booste...
Valine Female Anilides Carbamates Aged Lactams, Macrocyclic Sulfonamides Macrocyclic Compounds Young Adult Hepacivirus Adult Ribavirin Proline Male Sustained Virologic Response Antiviral Agents Drug Therapy, Combination Humans Middle Aged Glomerular Filtration Rate Hepatitis C, Chronic Genotype Prospective Studies Renal Dialysis Cyclopropanes Kidney Recovery of Function Viral Load Renal Insufficiency, Chronic Egypt Time Factors Treatment Outcome
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Artificial intelligence in nanomedicine.

Nanoscale horizons Oct 15, 2018
The field of nanomedicine has made substantial strides in the areas of therapeutic and diagnostic development. For example, nanoparticle-modified drug compounds and imaging agents have resulted in markedly enhanced treatment outcomes and contrast eff...
Drug Therapy, Combination Humans Artificial Intelligence Drug Dosage Calculations Neoplasms Antineoplastic Agents Nanomedicine
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Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms.

Statistics in medicine Jul 16, 2018
With the advancement in drug development, multiple treatments are available for a single disease. Patients can often benefit from taking multiple treatments simultaneously. For example, patients in Clinical Practice Research Datalink with chronic dis...
Humans Machine Learning Algorithms Drug Therapy, Combination Statistics as Topic Stochastic Processes Decision Support Techniques Precision Medicine Treatment Outcome Models, Statistical
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Changes in glomerular filtration rate and outcomes in patients with atrial fibrillation.

American heart journal Dec 30, 2017
BACKGROUND: Patients with kidney disease are more likely to develop atrial fibrillation (AF) than individuals with normal renal function, and more likely to suffer ischemic stroke (IS)/thromboembolism (TE). We investigated the relationship of kidney ...
Humans Retrospective Studies Renal Insufficiency Proportional Hazards Models Cohort Studies Middle Aged Treatment Outcome Anti-Arrhythmia Agents Risk Assessment Glomerular Filtration Rate Female Atrial Fibrillation Disease Progression Follow-Up Studies Aged Survival Analysis Comorbidity Fibrinolytic Agents Aged, 80 and over Drug Therapy, Combination Severity of Illness Index Male Confidence Intervals
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Synergism of prenylflavonoids from Morus alba root bark against clinical MRSA isolates.

Phytomedicine : international journal of phytotherapy and phytopharmacology Dec 21, 2017
BACKGROUND: Clinical methicillin-resistant Staphylococcus aureus (MRSA) is a thorny problem in current anti-infective therapeutics and a challenge of new drug development. Plant prenylflavonoids possess anti-MRSA activity, but few of the prenylflavon...
Plant Roots Morus Drug Synergism Drug Therapy, Combination Vancomycin Aminoglycosides Methicillin Microbial Sensitivity Tests Methicillin-Resistant Staphylococcus aureus Cell Line Flavonoids Humans Plant Bark Anti-Bacterial Agents
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Optimal treatment assignment to maximize expected outcome with multiple treatments.

Biometrics Oct 31, 2017
When there is substantial heterogeneity of treatment effectiveness, it is crucial to identify individualized treatment assignment rules for comparative treatment selection. Traditional approaches directly model clinical outcome and define optimal tre...
Drug Therapy, Combination Therapeutics Precision Medicine Treatment Outcome Support Vector Machine Combined Modality Therapy Humans Computer Simulation
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