AIMC Topic: Dose-Response Relationship, Drug

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Artificial intelligence outperforms experienced nephrologists to assess dry weight in pediatric patients on chronic hemodialysis.

Pediatric nephrology (Berlin, Germany) Jul 9, 2018
BACKGROUND: Dry weight is the lowest weight patients on hemodialysis can tolerate; correct dry weight estimation is necessary to minimize morbi-mortality, but is difficult to achieve. Here, we used artificial intelligence to improve the accuracy of d...
Renal Dialysis Adolescent Child Hypertension Blood Pressure Determination Humans Neural Networks, Computer Female Male Feasibility Studies Body Weight Body Fluids Nephrologists Blood Volume Decision Making, Computer-Assisted Body Mass Index Dose-Response Relationship, Drug Blood Pressure Antihypertensive Agents Kidney Failure, Chronic
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Optimal dynamic regimens with artificial intelligence: The case of temozolomide.

PloS one Jun 26, 2018
We determine an optimal protocol for temozolomide using population variability and dynamic optimization techniques inspired by artificial intelligence. We use a Pharmacokinetics/Pharmacodynamics (PK/PD) model based on Faivre and coauthors (Faivre, et...
Algorithms Monte Carlo Method Neoplasms Temozolomide Treatment Outcome Humans Antineoplastic Agents, Alkylating Dose-Response Relationship, Drug Artificial Intelligence Models, Biological
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Antiproliferative and anti-apoptotic effect of astaxanthin in an oxygen-induced retinopathy mouse model.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie Apr 11, 2018
OBJECTIVE: To evaluate the impact of intravitreal (IV) and intraperitoneal (IP) astaxanthin (AST) injections on neovascular development (ND), retinal morphology, and apoptotic activity in a C57BL/6J mouse model with hyperoxia-induced retinopathy (HIR...
Xanthophylls Apoptosis Animals In Situ Nick-End Labeling Mice Random Allocation Dose-Response Relationship, Drug Intravitreal Injections Cell Proliferation Retinal Diseases Fibrinolytic Agents Microscopy, Electron Disease Models, Animal Animals, Newborn Oxygen Mice, Inbred BALB C Hyperoxia Retina
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Noninvasive detection of macrophage activation with single-cell resolution through machine learning.

Proceedings of the National Academy of Sciences of the United States of America Mar 6, 2018
We present a method enabling the noninvasive study of minute cellular changes in response to stimuli, based on the acquisition of multiple parameters through label-free microscopy. The retrieved parameters are related to different attributes of the c...
Macrophage Activation Single-Cell Analysis Lipopolysaccharides Machine Learning Image Processing, Computer-Assisted Dose-Response Relationship, Drug Animals Mice Microscopy, Fluorescence Progesterone Models, Biological Spectrum Analysis, Raman RAW 264.7 Cells
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Gene-Specific Variant Classifier (DPYD-Varifier) to Identify Deleterious Alleles of Dihydropyrimidine Dehydrogenase.

Clinical pharmacology and therapeutics Feb 2, 2018
Deleterious variants in dihydropyrimidine dehydrogenase (DPD, DPYD gene) can be highly predictive of clinical toxicity to the widely prescribed chemotherapeutic 5-fluorouracil (5-FU). However, there are very limited data pertaining to the functional ...
Humans Machine Learning Computer Simulation Risk Assessment Structure-Activity Relationship Models, Molecular Fluorouracil Inhibitory Concentration 50 HCT116 Cells Pharmacogenetics Genotype Dose-Response Relationship, Drug Cell Survival Predictive Value of Tests Dihydrouracil Dehydrogenase (NADP) HEK293 Cells Pharmacogenomic Testing Gene Frequency Pharmacogenomic Variants Protein Conformation Antimetabolites, Antineoplastic Mutation, Missense
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Machine learning prioritizes synthesis of primaquine ureidoamides with high antimalarial activity and attenuated cytotoxicity.

European journal of medicinal chemistry Jan 31, 2018
Primaquine (PQ) is a commonly used drug that can prevent the transmission of Plasmodium falciparum malaria, however toxicity limits its use. We prepared five groups of PQ derivatives: amides 1a-k, ureas 2a-k, semicarbazides 3a,b, acylsemicarbazides 4...
Molecular Structure Antimalarials Malaria, Falciparum Erythrocytes Primaquine Cell Line Humans Amides Machine Learning Drug Screening Assays, Antitumor Animals Structure-Activity Relationship Antineoplastic Agents Plasmodium falciparum Rats Cell Proliferation Dose-Response Relationship, Drug
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Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning.

BMC research notes Jan 27, 2018
OBJECTIVE: Use of opioids for pain management has increased over the past decade; however, inadequate analgesic response is common. Genetic variability may be related to opioid efficacy, but due to the many possible combinations and variables, statis...
Receptors, Opioid, delta Morphine Gene Frequency Cancer Pain Receptors, Opioid, mu Catechol O-Methyltransferase Humans Female Aged Male Middle Aged Polymorphism, Single Nucleotide Genotype Support Vector Machine Dose-Response Relationship, Drug Analgesics, Opioid
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Changes in systemic vascular endothelial growth factor levels after intravitreal injection of aflibercept in infants with retinopathy of prematurity.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Dec 30, 2017
BACKGROUND: To investigate the levels of VEGF in the systemic circulation of patients with type 1 ROP who received intravitreal injections of 1 mg (0.025 mL) aflibercept (IVA) or 0.625 mg (0.025 mL) bevacizumab (IVB).
Infant, Newborn Male Time Factors Enzyme-Linked Immunosorbent Assay Angiogenesis Inhibitors Treatment Outcome Follow-Up Studies Humans Dose-Response Relationship, Drug Prospective Studies Vascular Endothelial Growth Factors Biomarkers Intravitreal Injections Prognosis Recombinant Fusion Proteins Female Receptors, Vascular Endothelial Growth Factor Retinopathy of Prematurity
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New 1,5 and 2,5-disubstituted tetrazoles-dependent activity towards surface barrier of Candida albicans.

European journal of medicinal chemistry Dec 30, 2017
A series of novel tetrazole derivatives was synthetized using N-alkylation or Michael-type addition reactions, and screened for their fungistatic potential against Candida albicans (the lack of endpoint = 100%). Among them, the selected compounds 2d,...
Caco-2 Cells Humans Structure-Activity Relationship Microbial Sensitivity Tests Antifungal Agents Candida albicans Molecular Structure Dose-Response Relationship, Drug Tetrazoles Cell Survival
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Amino acid conjugated antimicrobial drugs: Synthesis, lipophilicity- activity relationship, antibacterial and urease inhibition activity.

European journal of medicinal chemistry Dec 29, 2017
Present work describes the in vitro antibacterial evaluation of some new amino acid conjugated antimicrobial drugs. Structural modification was attempted on the three existing antimicrobial pharmaceuticals namely trimethoprim, metronidazole, isoniazi...
Amino Acids Urease Metronidazole Pseudomonas aeruginosa Anti-Bacterial Agents Salmonella typhi Microbial Sensitivity Tests Escherichia coli Staphylococcus aureus Dose-Response Relationship, Drug Structure-Activity Relationship Molecular Structure Hydrophobic and Hydrophilic Interactions Enzyme Inhibitors Bacillus Isoniazid Trimethoprim
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