AIMC Topic: Pharmacogenetics
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Introduction to the Theme "Development of New Drugs: Moving from the Bench to Bedside and Improved Patient Care".
Annual review of pharmacology and toxicology
Oct 21, 2022
Investigations in pharmacology and toxicology range from molecular studies to clinical care. Studies in basic and clinical pharmacology and in preclinical and clinical toxicology are all essential in bringing new knowledge and new drugs into clinical...
Challenges and opportunities associated with rare-variant pharmacogenomics.
Trends in pharmacological sciences
Aug 22, 2022
Recent advances in next-generation sequencing (NGS) have resulted in the identification of tens of thousands of rare pharmacogenetic variations with unknown functional effects. However, although such pharmacogenetic variations have been estimated to ...
Determining the adjusted initial treatment dose of warfarin anticoagulant medicine using kernel-based support vector regression.
Computer methods and programs in biomedicine
Dec 17, 2021
BACKGROUND AND OBJECTIVE: A novel research field in bioinformatics is pharmacogenomics and the corresponding applications of artificial intelligence tools. Pharmacogenomics is the study of the relationship between genotype and responses to medical me...
Deep learning in cancer diagnosis, prognosis and treatment selection.
Genome medicine
Sep 27, 2021
Deep learning is a subdiscipline of artificial intelligence that uses a machine learning technique called artificial neural networks to extract patterns and make predictions from large data sets. The increasing adoption of deep learning across health...
Machine Learning: An Overview and Applications in Pharmacogenetics.
Genes
Sep 26, 2021
This narrative review aims to provide an overview of the main Machine Learning (ML) techniques and their applications in pharmacogenetics (such as antidepressant, anti-cancer and warfarin drugs) over the past 10 years. ML deals with the study, the de...
Systematic review of Pharmacogenomics Knowledgebase evidence for pharmacogenomic links to the dopamine reward pathway for heroin dependence.
Pharmacogenomics
Aug 23, 2021
Genetics play an important role in opioid use disorder (OUD); however, few specific gene variants have been identified. Therefore, there is a need to further understand the pharmacogenomics influences on the pharmacodynamics of opioids. The Pharmacog...
Performance Comparisons of AlexNet and GoogLeNet in Cell Growth Inhibition IC50 Prediction.
International journal of molecular sciences
Jul 19, 2021
Drug responses in cancer are diverse due to heterogenous genomic profiles. Drug responsiveness prediction is important in clinical response to specific cancer treatments. Recently, multi-class drug responsiveness models based on deep learning (DL) mo...
Personalizing Therapies and Targeting Treatment Strategies Through Pharmacogenomics and Artificial Intelligence.
Clinical therapeutics
May 27, 2021
Convolutional neural networks (CNNs): concepts and applications in pharmacogenomics.
Molecular diversity
May 24, 2021
Convolutional neural networks (CNNs) have been used to extract information from various datasets of different dimensions. This approach has led to accurate interpretations in several subfields of biological research, like pharmacogenomics, addressing...
Machine learning identifies candidates for drug repurposing in Alzheimer's disease.
Nature communications
Feb 15, 2021
Clinical trials of novel therapeutics for Alzheimer's Disease (AD) have consumed a large amount of time and resources with largely negative results. Repurposing drugs already approved by the Food and Drug Administration (FDA) for another indication i...
Primary Cell Culture
Prescription Drugs
Neuroprotective Agents
Nootropic Agents
Humans
Nerve Tissue Proteins
Severity of Illness Index
Neurons
Machine Learning
Drugs, Investigational
Drug Repositioning
Gene Expression Regulation
Gene Expression Profiling
Alzheimer Disease
Polypharmacology
Pharmacogenetics
Cerebral Cortex
High-Throughput Screening Assays
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