AIMC Topic: Antineoplastic Agents
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[Robotic production of injectable anticancer drugs in hospital pharmacies].
Bulletin du cancer
Apr 25, 2023
INTRODUCTION: Following the 2005 decree on securing the medicine supply chain, the production of "chemotherapies", anticancer drugs (cytotoxic, cytostatic, immunotherapy), was centralised within hospital pharmacies. To cope with increasingly growing ...
DeepCancerMap: A versatile deep learning platform for target- and cell-based anticancer drug discovery.
European journal of medicinal chemistry
Apr 23, 2023
Discovering new anticancer drugs has been widely concerned and remains an open challenge. Target- and phenotypic-based experimental screening represent two mainstream anticancer drug discovery methods, which suffer from time-consuming, labor-intensiv...
SYNDEEP: a deep learning approach for the prediction of cancer drugs synergy.
Scientific reports
Apr 15, 2023
Drug combinations can be the prime strategy for increasing the initial treatment options in cancer therapy. However, identifying the combinations through experimental approaches is very laborious and costly. Notably, in vitro and/or in vivo examinati...
Evaluation of Robotic Systems on Cytotoxic Drug Preparation: A Systematic Review and Meta-Analysis.
Medicina (Kaunas, Lithuania)
Feb 22, 2023
: With the increased prevalence of patients with cancer, the demand for preparing cytotoxic drugs was increased by health-system pharmacists. To reduce the workload and contamination of work areas in pharmacies, compounding robots preparing cytotoxic...
DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics.
Scientific reports
Feb 11, 2023
Modern oncology offers a wide range of treatments and therefore choosing the best option for particular patient is very important for optimal outcome. Multi-omics profiling in combination with AI-based predictive models have great potential for strea...
Deep Learning-Based Artificial Intelligence to Investigate Targeted Nanoparticles' Uptake in TNBC Cells.
International journal of molecular sciences
Dec 16, 2022
Triple negative breast cancer (TNBC) is the most aggressive subtype of breast cancer in women. It has the poorest prognosis along with limited therapeutic options. Smart nano-based carriers are emerging as promising approaches in treating TNBC due to...
Comparing different robots available in the European market for the preparation of injectable chemotherapy and recommendations to users.
Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
Dec 14, 2022
INTRODUCTION: Recent advances in technology have made it possible to develop robots for preparing injectable anticancer drugs. This study aims to compare characteristics between robots available in the European market in 2022 and to help future pharm...
DNN-PNN: A parallel deep neural network model to improve anticancer drug sensitivity.
Methods (San Diego, Calif.)
Nov 18, 2022
With the rapid development of deep learning techniques and large-scale genomics database, it is of great potential to apply deep learning to the prediction task of anticancer drug sensitivity, which can effectively improve the identification efficien...
Development of GBRT Model as a Novel and Robust Mathematical Model to Predict and Optimize the Solubility of Decitabine as an Anti-Cancer Drug.
Molecules (Basel, Switzerland)
Sep 2, 2022
The efficient production of solid-dosage oral formulations using eco-friendly supercritical solvents is known as a breakthrough technology towards developing cost-effective therapeutic drugs. Drug solubility is a significant parameter which must be m...
Anti-Cancer Drug Solubility Development within a Green Solvent: Design of Novel and Robust Mathematical Models Based on Artificial Intelligence.
Molecules (Basel, Switzerland)
Aug 12, 2022
Nowadays, supercritical CO(SC-CO) is known as a promising alternative for challengeable organic solvents in the pharmaceutical industry. The mathematical prediction and validation of drug solubility through SC-CO system using novel artificial intelli...
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