AIMC Topic: Databases, Pharmaceutical
Clear Filters Showing 21 to 30 of 96 articles
Classification and Design of HIV-1 Integrase Inhibitors Based on Machine Learning.
Computational and mathematical methods in medicine
Apr 1, 2021
A key enzyme in human immunodeficiency virus type 1 (HIV-1) life cycle, integrase (IN) aids the integration of viral DNA into the host DNA, which has become an ideal target for the development of anti-HIV drugs. A total of 1785 potential HIV-1 IN inh...
Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patients.
American journal of surgery
Mar 26, 2021
BACKGROUND: The clinical impact of postoperative opioid use requires accurate prediction strategies to identify at-risk patients. We utilize preoperative claims data to predict postoperative opioid refill and new persistent use in opioid-naïve patien...
Humans
Machine Learning
Middle Aged
Drug Prescriptions
Databases, Pharmaceutical
Abdominal Pain
Comorbidity
Forecasting
Aged
Preoperative Period
Analgesics, Opioid
Insurance Claim Review
ROC Curve
Young Adult
Retrospective Studies
Prescription Drug Overuse
Headache
Arthralgia
Adult
Area Under Curve
Female
Postoperative Period
Back Pain
Male
[G5 can't do without 5G].
Nederlands tijdschrift voor geneeskunde
Mar 19, 2021
In the Netherlands, 5 web-based systems co-exist in the public domain to provide relevant pharmacotherapeutic information for physicians, pharmacists and patients. Although these systems provide significant support to prescribers, still much can be i...
Predicting Potential SARS-COV-2 Drugs-In Depth Drug Database Screening Using Deep Neural Network Framework SSnet, Classical Virtual Screening and Docking.
International journal of molecular sciences
Feb 4, 2021
Severe Acute Respiratory Syndrome Corona Virus 2 has altered life on a global scale. A concerted effort from research labs around the world resulted in the identification of potential pharmaceutical treatments for CoVID-19 using existing drugs, as we...
SARS-CoV-2
Molecular Docking Simulation
Drug Discovery
Antiviral Agents
Neural Networks, Computer
Machine Learning
COVID-19
Algorithms
Angiotensin-Converting Enzyme 2
Databases, Pharmaceutical
Spike Glycoprotein, Coronavirus
Drug Repositioning
Drug Evaluation, Preclinical
COVID-19 Drug Treatment
Humans
Prediction of adverse drug reactions using drug convolutional neural networks.
Journal of bioinformatics and computational biology
Jan 20, 2021
Prediction of Adverse Drug Reactions (ADRs) has been an important aspect of Pharmacovigilance because of its impact in the pharma industry. The standard process of introduction of a new drug into a market involves a lot of clinical trials and tests. ...
Improved Deep Learning Based Method for Molecular Similarity Searching Using Stack of Deep Belief Networks.
Molecules (Basel, Switzerland)
Dec 29, 2020
Virtual screening (VS) is a computational practice applied in drug discovery research. VS is popularly applied in a computer-based search for new lead molecules based on molecular similarity searching. In chemical databases similarity searching is us...
H-RACS: a handy tool to rank anti-cancer synergistic drugs.
Aging
Nov 10, 2020
Though promising, identifying synergistic combinations from a large pool of candidate drugs remains challenging for cancer treatment. Due to unclear mechanism and limited confirmed cases, only a few computational algorithms are able to predict drug s...
Predicting the frequencies of drug side effects.
Nature communications
Sep 11, 2020
A central issue in drug risk-benefit assessment is identifying frequencies of side effects in humans. Currently, frequencies are experimentally determined in randomised controlled clinical trials. We present a machine learning framework for computati...
BIOINTMED: integrated biomedical knowledge base with ontologies and clinical trials.
Medical & biological engineering & computing
Jul 24, 2020
Biomedical data are complex and heterogeneous. An ample reliable quantity of data is important for understanding and exploring the domain. The work aims to integrate biomedical data from various heterogeneous sources like dictionaries or corpus and a...
Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).
Molecular pharmaceutics
Jun 8, 2020
Drug-induced liver injury (DILI) is one the most unpredictable adverse reactions to xenobiotics in humans and the leading cause of postmarketing withdrawals of approved drugs. To date, these drugs have been collated by the FDA to form the DILIRank da...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823