AIMC Topic: Dose-Response Relationship, Drug

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Model-Informed Artificial Intelligence: Reinforcement Learning for Precision Dosing.

Clinical pharmacology and therapeutics Feb 23, 2020
The availability of multidimensional data together with the development of modern techniques for data analysis represent an exceptional opportunity for clinical pharmacology. Data science-defined in this special issue as the novel approaches to the c...
Models, Theoretical Dose-Response Relationship, Drug Reinforcement, Psychology Pharmacology, Clinical Humans Artificial Intelligence Precision Medicine Learning
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Applications of machine learning in decision analysis for dose management for dofetilide.

PloS one Dec 31, 2019
BACKGROUND: Initiation of the antiarrhythmic medication dofetilide requires an FDA-mandated 3 days of telemetry monitoring due to heightened risk of toxicity within this time period. Although a recommended dose management algorithm for dofetilide exi...
Humans Machine Learning Decision Support Techniques Female Aged Male Middle Aged Phenethylamines Dose-Response Relationship, Drug Sulfonamides Anti-Arrhythmia Agents
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Inhibitory effect of ethanol and thiamine dilaurylsulfate against loosely, intermediately, and tightly attached mesophilic aerobic bacteria, coliforms, and Salmonella Typhimurium in chicken skin.

Poultry science Dec 20, 2019
The effects of 3 ethanol levels (30, 50, and 70%) with and without thiamine dilaurylsulfate (TDS; 1,000 ppm) were evaluated for the reduction of natural mesophilic aerobic bacteria (MAB), coliforms, and inoculated Salmonella Typhimurium (S. Typhimuri...
Skin Bacteria, Aerobic Ethanol Anti-Bacterial Agents Thiamine Bacterial Adhesion Dose-Response Relationship, Drug Animals Enterobacteriaceae Salmonella typhimurium Chickens Food Handling Food Microbiology
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Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock - rationale and design of a multicenter randomized controlled superiority trial.

Trials Dec 18, 2019
BACKGROUND: Antibiotic exposure is often inadequate in critically ill patients with severe sepsis or septic shock and this is associated with worse outcomes. Despite markedly altered and rapidly changing pharmacokinetics in these patients, guidelines...
Humans Artificial Intelligence Research Design Male Severity of Illness Index Big Data Shock, Septic Anti-Bacterial Agents Intensive Care Units Female Adult Equivalence Trials as Topic Randomized Controlled Trials as Topic Drug Monitoring Netherlands Kaplan-Meier Estimate Treatment Outcome Dose-Response Relationship, Drug Multicenter Studies as Topic
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Synthesis and in vitro activity of asymmetric indole-based bisamidine compounds against Gram-positive and Gram-negative pathogens.

Bioorganic & medicinal chemistry letters Dec 13, 2019
A series of new asymmetric bisamidine was designed, synthesized, and tested for their in-vitro antibacterial activity using a range of Gram-positive and Gram-negative pathogens. Most compounds demonstrated powerful antibacterial activity, and interes...
Molecular Structure Pseudomonas aeruginosa Anti-Bacterial Agents Furans Escherichia coli Microbial Sensitivity Tests Klebsiella Indoles Dose-Response Relationship, Drug Citrobacter freundii Structure-Activity Relationship
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Flavonoid bioactive compounds of hawthorn extract can promote growth, regulate electrocardiogram waves, and improve cardiac parameters of pulmonary hypertensive chickens.

Poultry science Dec 13, 2019
The effect of orally administered hawthorn flavonoid extract (HFE) on growth, electrocardiographic waves, and cardiac parameters of pulmonary hypertensive chickens reared at high altitude (2,100 m above sea level) was examined. A total of 225 one-day...
Random Allocation Phytochemicals Animal Feed Crataegus Hypertension, Pulmonary Dose-Response Relationship, Drug Dietary Supplements Flavonoids Poultry Diseases Chickens Plant Extracts Electrocardiography Animals Diet
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A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients.

International journal of molecular sciences Dec 12, 2019
Heterogeneity in intratumoral cancers leads to discrepancies in drug responsiveness, due to diverse genomics profiles. Thus, prediction of drug responsiveness is critical in precision medicine. So far, in drug responsiveness prediction, drugs' molecu...
Dose-Response Relationship, Drug Cell Survival Models, Biological Inhibitory Concentration 50 Cell Line, Tumor ROC Curve Humans Computational Biology Neural Networks, Computer Stomach Neoplasms Drug Discovery Antineoplastic Agents Deep Learning Artificial Intelligence
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CURATE.AI: Optimizing Personalized Medicine with Artificial Intelligence.

SLAS technology Nov 26, 2019
The clinical team attending to a patient upon a diagnosis is faced with two main questions: what treatment, and at what dose? Clinical trials' results provide the basis for guidance and support for official protocols that clinicians use to base their...
Dose-Response Relationship, Drug Artificial Intelligence Phenotype Precision Medicine Humans
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Label-Free Estimation of Therapeutic Efficacy on 3D Cancer Spheres Using Convolutional Neural Network Image Analysis.

Analytical chemistry Oct 24, 2019
Despite recent advances in cancer treatment, developing better therapeutic reagents remains an essential task for oncologists. To accurately characterize drug efficacy, 3D cell culture holds great promise as opposed to conventional 2D monolayer cultu...
Structure-Activity Relationship Equipment Design Doxorubicin Optical Imaging Tumor Cells, Cultured Antibiotics, Antineoplastic Microfluidic Analytical Techniques Cell Proliferation Dose-Response Relationship, Drug Cell Survival Drug Screening Assays, Antitumor Neural Networks, Computer Breast Neoplasms Image Processing, Computer-Assisted Humans
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All-Assay-Max2 pQSAR: Activity Predictions as Accurate as Four-Concentration ICs for 8558 Novartis Assays.

Journal of chemical information and modeling Sep 26, 2019
Profile-quantitative structure-activity relationship (pQSAR) is a massively multitask, two-step machine learning method with unprecedented scope, accuracy, and applicability domain. In step one, a "profile" of conventional single-assay random forest ...
Logistic Models Dose-Response Relationship, Drug Proteins Models, Chemical Machine Learning Biological Assay Algorithms Inhibitory Concentration 50 Drug Discovery Quantitative Structure-Activity Relationship
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