AIMC Topic: Drug Therapy, Computer-Assisted

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Bolus pharmacokinetics: moving beyond mass-based dosing to guide drug administration.

Journal of pharmacokinetics and pharmacodynamics Aug 18, 2020
Despite the common approach of bolus drug dosing using a patient's mass, a more tailored approach would be to use empirically derived pharmacokinetic models. Previously, this could only be possible though the use of computer simulation using programs...
Humans Artificial Intelligence Models, Biological Body Weight Drug Dosage Calculations Drug Therapy, Computer-Assisted Computer Simulation Point-of-Care Systems Dose-Response Relationship, Drug Infusions, Intravenous
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Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

The Journal of investigative dermatology Mar 31, 2020
Although deep learning algorithms have demonstrated expert-level performance, previous efforts were mostly binary classifications of limited disorders. We trained an algorithm with 220,680 images of 174 disorders and validated it using Edinburgh (1,3...
Female Skin Neoplasms Dermoscopy Aged Humans Anti-Bacterial Agents Internship and Residency Drug Therapy, Computer-Assisted Dermatology Image Interpretation, Computer-Assisted Adolescent Datasets as Topic Photography ROC Curve Skin Antiviral Agents Middle Aged Feasibility Studies Antifungal Agents Glucocorticoids Dermatologists Young Adult Deep Learning Skin Diseases Adult Clinical Competence Male
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An optimal interval type-2 fuzzy logic control based closed-loop drug administration to regulate the mean arterial blood pressure.

Computer methods and programs in biomedicine Oct 31, 2019
BACKGROUND AND OBJECTIVE: The main aim of this work is to present an optimal and robust controller design in order to improve the drug infusion to the automatic control of mean arterial blood pressure in conditions like critically-ill or post-operati...
Blood Pressure Antihypertensive Agents Automation Infusion Pumps Algorithms Computer Simulation Fuzzy Logic Drug Therapy, Computer-Assisted Nitroprusside Humans
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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...
Computational Biology Signal Transduction Models, Biological Cisplatin Drug Therapy, Combination TNF-Related Apoptosis-Inducing Ligand Machine Learning Drug Therapy, Computer-Assisted Algorithms Neoplasms Humans Antineoplastic Agents
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On medical application of neural networks trained with various types of data.

Bioscience trends Dec 17, 2018
Neural networks have garnered attention over the past few years. A neural network is a typical model of machine learning that is used to identify visual patterns. Neural networks are used to solve a wide variety of problems, including image recogniti...
Image Interpretation, Computer-Assisted Drug Therapy, Computer-Assisted Humans Neural Networks, Computer Machine Learning Prognosis Electronic Health Records
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An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.

Artificial intelligence in medicine Feb 9, 2018
BACKGROUND: The available antibiotic decision-making systems were developed from a physician's perspective. However, because infectious diseases are common, many patients desire access to knowledge via a search engine. Although the use of antibiotics...
Humans Machine Learning Decision Support Techniques Anti-Bacterial Agents Biological Ontologies Drug Prescriptions Drug Therapy, Computer-Assisted ROC Curve Clinical Decision-Making Decision Support Systems, Clinical Reproducibility of Results Bacterial Infections Diagnosis, Computer-Assisted Predictive Value of Tests User-Computer Interface
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Characterization of the Context of Drug Concepts in Research Protocols: An Empiric Study to Guide Ontology Development.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
We examined a large body of research study documents (protocols) to identify mentions of drug concepts and established base concepts and roles needed to characterize the semantics of these instances. We found these concepts in three general situation...
Decision Support Systems, Clinical Humans Pharmaceutical Preparations Information Storage and Retrieval Biological Ontologies Semantics Drug Therapy, Computer-Assisted Clinical Protocols
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Medication-indication knowledge bases: a systematic review and critical appraisal.

Journal of the American Medical Informatics Association : JAMIA Sep 2, 2015
OBJECTIVE: Medication-indication information is a key part of the information needed for providing decision support for and promoting appropriate use of medications. However, this information is not readily available to end users, and a lot of the re...
Knowledge Bases Systematized Nomenclature of Medicine Drug Therapy, Computer-Assisted Off-Label Use Humans
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Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs.

Applied clinical informatics May 20, 2015
BACKGROUND: Clinical knowledge bases of problem-medication pairs are necessary for many informatics solutions that improve patient safety, such as clinical summarization. However, developing these knowledge bases can be challenging.
Academic Medical Centers Humans Crowdsourcing Electronic Health Records Drug Therapy, Computer-Assisted Knowledge Bases
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Predicting Methylphenidate Response in ADHD Using Machine Learning Approaches.

The international journal of neuropsychopharmacology May 10, 2015
BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate response in attention deficit hyperactivity disorder. This study aimed to examine whether applying machine learning approaches to pretreatment demographi...
Male Child Treatment Outcome Support Vector Machine Brain Norepinephrine Plasma Membrane Transport Proteins Attention Deficit Disorder with Hyperactivity Humans Body Weight Prognosis Receptors, Adrenergic, alpha-2 Methylphenidate Female Stroop Test Age Factors Drug Therapy, Computer-Assisted Rest Polymorphism, Genetic Magnetic Resonance Imaging Central Nervous System Stimulants Lead Cotinine
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