AIMC Topic: Antineoplastic Agents
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Inferring Association between Compound and Pathway with an Improved Ensemble Learning Method.
Molecular informatics
Aug 6, 2015
Emergence of compound molecular data coupled to pathway information offers the possibility of using machine learning methods for compound-pathway associations' inference. To provide insights into the global relationship between compounds and their af...
[Implementation of a robot for the preparation of antineoplastic drugs in the Pharmacy Service].
Farmacia hospitalaria : organo oficial de expresion cientifica de la Sociedad Espanola de Farmacia Hospitalaria
May 1, 2015
OBJECTIVE: To describe the implementation of a robot for the preparation of antineoplastic drugs in the Pharmacy Service and to be able to analyze the added value to pharmacotherapy.
Inappropriate use of the term "cytotoxicity" in scientific literature.
Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences
Feb 20, 2015
Knowledge retrieval from PubMed abstracts and electronic medical records with the Multiple Sclerosis Ontology.
PloS one
Feb 9, 2015
BACKGROUND: In order to retrieve useful information from scientific literature and electronic medical records (EMR) we developed an ontology specific for Multiple Sclerosis (MS).
Identifying predictive features in drug response using machine learning: opportunities and challenges.
Annual review of pharmacology and toxicology
Dec 12, 2014
This article reviews several techniques from machine learning that can be used to study the problem of identifying a small number of features, from among tens of thousands of measured features, that can accurately predict a drug response. Prediction ...
Humans
Neural Networks, Computer
Artificial Intelligence
Precision Medicine
Risk Factors
Algorithms
Patient Safety
Cluster Analysis
Patient Selection
Antineoplastic Agents
Drug-Related Side Effects and Adverse Reactions
Gene Regulatory Networks
Pattern Recognition, Automated
Gene Expression Regulation, Neoplastic
Animals
Pharmacology
Risk Assessment
Drug Discovery
Novel reliable model by integrating the discrete wavelet transform with fuzzy intelligent systems for the simultaneous spectrophotometric determination of anticancer drug and anti-acquired resistance drug in biological samples.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Nov 15, 2025
Simultaneous measurement of drugs used to treat cancer and medications prescribed to overcome resistance to these drugs is important in pharmaceutical formulations and biological samples. In this study, a spectrophotometric method with a hybrid of di...
Machine learning driven prediction of drug efficacy in lung cancer: based on protein biomarkers and clinical features.
Life sciences
Aug 15, 2025
Currently, chemotherapy drugs are the first-line treatment for lung cancer patients, and evaluating their efficacy is of utmost significance. However, assessing the clinical efficacy of chemotherapy drugs remains a challenging task. In recent years, ...
Computer-aided drug discovery of a dual-target inhibitor for ovarian cancer: therapeutic intervention targeting CDK1/TTK signaling pathway and structural insights in the NCI-60.
Computers in biology and medicine
Jul 1, 2025
Ovarian cancer remains the third most prevalent and deadliest gynecologic malignancy worldwide, with most patients eventually developing resistance to platinum-based chemotherapy. This highlights a critical unmet need for innovative multitargeted the...
Extracellular vesicles as nature's nano carriers in cancer therapy: Insights toward preclinical studies and clinical applications.
Pharmacological research
Jul 1, 2025
Extracellular vesicles (EVs), which are secreted by various cell types, hold significant potential for cancer therapy. However, there are several challenges and difficulties that limit their application in clinical settings. This review, which integr...
Machine learning-driven insights into retention mechanism in IAM chromatography of anticancer sulfonamides: Implications for biological efficacy.
Journal of chromatography. A
Jun 21, 2025
Machine learning (ML) tools offer new opportunities in drug discovery, especially for enhancing our understanding of molecular interactions with biological systems. This study develops a comprehensive quantitative structure-retention relationship (QS...
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