AIMC Topic: Antineoplastic Agents
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Identifying multi-target drugs for prostate cancer using machine learning-assisted transcriptomic analysis.
Journal of biomolecular structure & dynamics
Dec 16, 2023
Prostate cancer is a leading cause of cancer death in men, and the development of effective treatments is of great importance. This study explored to identify the candidate drugs for prostate cancer by transcriptomic data and CMap database analysis. ...
An interpretable artificial intelligence framework for designing synthetic lethality-based anti-cancer combination therapies.
Journal of advanced research
Dec 2, 2023
INTRODUCTION: Synthetic lethality (SL) provides an opportunity to leverage different genetic interactions when designing synergistic combination therapies. To further explore SL-based combination therapies for cancer treatment, it is important to ide...
XGraphCDS: An explainable deep learning model for predicting drug sensitivity from gene pathways and chemical structures.
Computers in biology and medicine
Nov 25, 2023
Cancer is a highly complex disease characterized by genetic and phenotypic heterogeneity among individuals. In the era of precision medicine, understanding the genetic basis of these individual differences is crucial for developing new drugs and achi...
A deep learning-based interpretable decision tool for predicting high risk of chemotherapy-induced nausea and vomiting in cancer patients prescribed highly emetogenic chemotherapy.
Cancer medicine
Aug 23, 2023
OBJECTIVE: This study aims to develop a risk prediction model for chemotherapy-induced nausea and vomiting (CINV) in cancer patients receiving highly emetogenic chemotherapy (HEC) and identify the variables that have the most significant impact on pr...
A subcomponent-guided deep learning method for interpretable cancer drug response prediction.
PLoS computational biology
Aug 21, 2023
Accurate prediction of cancer drug response (CDR) is a longstanding challenge in modern oncology that underpins personalized treatment. Current computational methods implement CDR prediction by modeling responses between entire drugs and cell lines, ...
FGFR1Pred: an artificial intelligence-based model for predicting fibroblast growth factor receptor 1 inhibitor.
Molecular diversity
Aug 11, 2023
Fibroblast growth factor receptors (FGFRs) are a family of cell surface receptors that bind to fibroblast growth factor (FGF) and mediate various cellular functions (translocating proteins, tissue repair, cell proliferation, development, and differen...
Machine learning and biological evaluation-based identification of a potential MMP-9 inhibitor, effective against ovarian cancer cells SKOV3.
Journal of biomolecular structure & dynamics
Jul 28, 2023
MMP-9, also known as gelatinase B, is a zinc-metalloproteinase family protein that plays a key role in the degradation of the extracellular matrix (ECM). The normal function of MMP-9 includes the breakdown of ECM, a process that aids in normal physio...
The prediction of drug sensitivity by multi-omics fusion reveals the heterogeneity of drug response in pan-cancer.
Computers in biology and medicine
Jul 1, 2023
Cancer drug response prediction based on genomic information plays a crucial role in modern pharmacogenomics, enabling individualized therapy. Given the expensive and complexity of biological experiments, computational methods serve as effective tool...
Game-based learning as training to use a chemotherapy preparation robot.
Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
Jun 8, 2023
INTRODUCTION: In 2015, our university hospital pharmacy acquired the PharmaHelp robot system to automate part of its chemotherapy production. Complex technical use, downtime periods, and insufficient training caused a drop in motivation and dispariti...
Evaluation of cancer drug infusion devices prior to the implementation of a compounding robot.
Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
May 18, 2023
INTRODUCTION: Compounding robots are increasingly being implemented in hospital pharmacies. In our hospital, the recent acquisition of a robot (RIVA, ARxIUM) for intravenous cancer drug compounding obliged us to replace the previously used infusion d...
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