AIMC Topic: Cardiotoxicity
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DICTrank Is a Reliable Dataset for Cardiotoxicity Prediction Using Machine Learning Methods.
Chemical research in toxicology
Mar 27, 2025
Drug-induced cardiotoxicity (DICT) is a significant challenge in drug development and public health. DICT can arise from various mechanisms; New Approach Methods (NAMs), including quantitative structure-activity relationships (QSARs), have been exten...
MultiCTox: Empowering Accurate Cardiotoxicity Prediction through Adaptive Multimodal Learning.
Journal of chemical information and modeling
Mar 27, 2025
Cardiotoxicity refers to the inhibitory effects of drugs on cardiac ion channels. Accurate prediction of cardiotoxicity is crucial yet challenging, as it directly impacts the evaluation of cardiac drug efficacy and safety. Numerous methods have been ...
GraphDeep-hERG: Graph Neural Network PharmacoAnalytics for Assessing hERG-Related Cardiotoxicity.
Pharmaceutical research
Mar 26, 2025
PURPOSE: The human Ether-a-go-go Related-Gene (hERG) encodes rectifying potassium channels that play a significant role during action potential repolarization of cardiomyocytes. Blockade of the hERG channel by off-target drugs can lead to long QT syn...
CardiOT: Towards Interpretable Drug Cardiotoxicity Prediction Using Optimal Transport and Kolmogorov--Arnold Networks.
IEEE journal of biomedical and health informatics
Mar 6, 2025
Investigating the inhibitory effects of compounds on cardiac ion channels is essential for assessing cardiac drug safety. Consequently, researchers have developed computational models to evaluate combined cardiotoxicity (CCT) on cardiac ion channels....
Artificial Intelligence to Enhance Precision Medicine in Cardio-Oncology: A Scientific Statement From the American Heart Association.
Circulation. Genomic and precision medicine
Feb 24, 2025
Artificial intelligence is poised to transform cardio-oncology by enabling personalized care for patients with cancer, who are at a heightened risk of cardiovascular disease due to both the disease and its treatments. The rising prevalence of cancer ...
Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicity.
Scientific reports
Feb 24, 2025
In this retrospective observational study, we aimed to investigate the potential of natural language processing (NLP) for drug repositioning by analyzing the preventive effects of cardioprotective drugs against anthracycline-induced cardiotoxicity (A...
Humans
Adrenergic beta-Antagonists
Cardiotonic Agents
Middle Aged
Cardiotoxicity
Drug Repositioning
Anthracyclines
Natural Language Processing
Aged
Retrospective Studies
Adult
Angiotensin Receptor Antagonists
Electronic Health Records
Male
Calcium Channel Blockers
Angiotensin-Converting Enzyme Inhibitors
Female
Hydroxymethylglutaryl-CoA Reductase Inhibitors
Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review.
Current cardiology reports
Feb 19, 2025
PURPOSE OF REVIEW: This review explores the role of artificial intelligence (AI) in cardio-oncology, focusing on its latest application across problems in diagnosis, prognosis, risk stratification, and management of cardiovascular (CV) complications ...
Predicting doxorubicin-induced cardiotoxicity in breast cancer: leveraging machine learning with synthetic data.
Medical & biological engineering & computing
Jan 20, 2025
Doxorubicin (DOXO) is a primary treatment for breast cancer but can cause cardiotoxicity in over 25% of patients within the first year post-chemotherapy. Recognizing at-risk patients before DOXO initiation offers pathways for alternative treatments o...
Machine learning based radiomics model to predict radiotherapy induced cardiotoxicity in breast cancer.
Journal of applied clinical medical physics
Dec 20, 2024
PURPOSE: Cardiotoxicity is one of the major concerns in breast cancer treatment, significantly affecting patient outcomes. To improve the likelihood of favorable outcomes for breast cancer survivors, it is essential to carefully balance the potential...
Exploring an novel diagnostic gene of trastuzumab-induced cardiotoxicity based on bioinformatics and machine learning.
Scientific reports
Dec 3, 2024
Trastuzumab (Tra)-induced cardiotoxicity (TIC) is a serious side effect of cancer chemotherapy, which can seriously harm the health of cancer patients. However, there is currently a lack of effective and reliable biomarkers for the early diagnosis of...
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