AIMC Topic: Antineoplastic Agents
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Contribution of an anticancer drug compounding robot in reducing the risks of manual preparation in a hospital pharmacy unit specialized in oncology.
Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
Aug 8, 2022
INTRODUCTION: In the last few years, pharmaceutical technology has evolved. In the field of oncology pharmacy, robots for the preparation of anti-cancer drugs have appeared to progressively replace manual preparation. The objective of this study is t...
Automated preparation of cytotoxic drugs: the evidence for an interface between the robot and computerized provider order entry?
European journal of hospital pharmacy : science and practice
Mar 10, 2022
ACPNet: A Deep Learning Network to Identify Anticancer Peptides by Hybrid Sequence Information.
Molecules (Basel, Switzerland)
Feb 24, 2022
Cancer is one of the most dangerous threats to human health. One of the issues is drug resistance action, which leads to side effects after drug treatment. Numerous therapies have endeavored to relieve the drug resistance action. Recently, anticancer...
Deep learning of quantitative ultrasound multi-parametric images at pre-treatment to predict breast cancer response to chemotherapy.
Scientific reports
Feb 10, 2022
In this study, a novel deep learning-based methodology was investigated to predict breast cancer response to neo-adjuvant chemotherapy (NAC) using the quantitative ultrasound (QUS) multi-parametric imaging at pre-treatment. QUS multi-parametric image...
Light-driven carbon nitride microswimmers with propulsion in biological and ionic media and responsive on-demand drug delivery.
Science robotics
Jan 19, 2022
We propose two-dimensional poly(heptazine imide) (PHI) carbon nitride microparticles as light-driven microswimmers in various ionic and biological media. Their high-speed (15 to 23 micrometer per second; 9.5 ± 5.4 body lengths per second) swimming in...
Prediction model of acute kidney injury induced by cisplatin in older adults using a machine learning algorithm.
PloS one
Jan 18, 2022
BACKGROUND: Early detection and prediction of cisplatin-induced acute kidney injury (Cis-AKI) are essential for the management of patients on chemotherapy with cisplatin. This study aimed to evaluate the performance of a prediction model for Cis-AKI.
Artificial intelligence-based identification of octenidine as a Bcl-xL inhibitor.
Biochemical and biophysical research communications
Dec 20, 2021
Apoptosis plays an essential role in maintaining cellular homeostasis and preventing cancer progression. Bcl-xL, an anti-apoptotic protein, is an important modulator of the mitochondrial apoptosis pathway and is a promising target for anticancer ther...
MFmap: A semi-supervised generative model matching cell lines to tumours and cancer subtypes.
PloS one
Dec 16, 2021
Translating in vitro results from experiments with cancer cell lines to clinical applications requires the selection of appropriate cell line models. Here we present MFmap (model fidelity map), a machine learning model to simultaneously predict the c...
Data Centric Molecular Analysis and Evaluation of Hepatocellular Carcinoma Therapeutics Using Machine Intelligence-Based Tools.
Journal of gastrointestinal cancer
Dec 15, 2021
PURPOSE: Computational approaches have been used at different stages of drug development with the purpose of decreasing the time and cost of conventional experimental procedures. Lately, techniques mainly developed and applied in the field of artific...
ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides.
Scientific reports
Dec 8, 2021
Although advancing the therapeutic alternatives for treating deadly cancers has gained much attention globally, still the primary methods such as chemotherapy have significant downsides and low specificity. Most recently, Anticancer peptides (ACPs) h...
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