AIMC Topic: Pharmacogenetics
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MLG2Net: Molecular Global Graph Network for Drug Response Prediction in Lung Cancer Cell Lines.
Journal of medical systems
Apr 10, 2025
Drug response prediction (DRP) is a central task in the era of precision medicine. Over the past decade, the emergence of deep learning (DL) has greatly contributed to addressing DRP challenges. Notably, the prediction of DRP for cancer cell lines be...
Pharmacogenomics and response to lithium in bipolar disorder.
Pharmacogenomics
Feb 25, 2025
AIMS: The present review explores the existing evidence on pharmacogenomic tests for prediction of lithium response in the treatment of bipolar disorder. We focused our research article on reports describing findings from genome-wide association stud...
Advancing pharmacogenomics research: automated extraction of insights from PubMed using SpaCy NLP framework.
Pharmacogenomics
Nov 20, 2024
This paper presents a methodology for automatically extracting insights from PubMed articles using a Natural Language Processing (NLP) framework. Our approach, leveraging advanced NLP techniques and Named Entity Recognition (NER), is crucial for adva...
Artificial intelligence, medications, pharmacogenomics, and ethics.
Pharmacogenomics
Nov 15, 2024
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing various scientific and clinical disciplines including pharmacogenomics (PGx) by enabling the analysis of complex datasets and the development of predictive models. The integra...
Identification of drug responsive enhancers by predicting chromatin accessibility change from perturbed gene expression profiles.
NPJ systems biology and applications
May 30, 2024
Individual may response to drug treatment differently due to their genetic variants located in enhancers. These variants can alter transcription factor's (TF) binding strength, affect enhancer's chromatin activity or interaction, and eventually chang...
Predictive Modelling in pharmacokinetics: from in-silico simulations to personalized medicine.
Expert opinion on drug metabolism & toxicology
Mar 20, 2024
INTRODUCTION: Pharmacokinetic parameters assessment is a critical aspect of drug discovery and development, yet challenges persist due to limited training data. Despite advancements in machine learning and in-silico predictions, scarcity of data hamp...
Polygenic modelling and machine learning approaches in pharmacogenomics: Importance in downstream analysis of genome-wide association study data.
British journal of clinical pharmacology
Oct 11, 2023
Genome-wide association studies (GWAS) have identified genetic variations associated with adverse drug effects in pharmacogenomics (PGx) research. However, interpreting the biological implications of these associations remains a challenge. This revie...
Using ChatGPT to predict the future of personalized medicine.
The pharmacogenomics journal
Sep 19, 2023
Personalized medicine is a novel frontier in health care that is based on each person's unique genetic makeup. It represents an exciting opportunity to improve the future of individualized health care for all individuals. Pharmacogenomics, as the mai...
Pharmacovariome scanning using whole pharmacogene resequencing coupled with deep computational analysis and machine learning for clinical pharmacogenomics.
Human genomics
Jul 14, 2023
BACKGROUND: This pilot study aims to identify and functionally assess pharmacovariants in whole exome sequencing data. While detection of known variants has benefited from pharmacogenomic-dedicated bioinformatics tools before, in this paper we have t...
Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network.
Computers in biology and medicine
Jan 13, 2023
Existing warfarin dose prediction algorithms based on pharmacogenetics and clinical parameters have not been used clinically due to the absence of external validation, lack of assessment for clinical utility, and high risk of bias. Moreover, given th...
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