首页|University of Minho Reports Findings in Melanoma (Machine Learning-Assisted Optimization of Drug Combinations in Zeolite- Based Delivery Systems for Melanoma Therapy)
University of Minho Reports Findings in Melanoma (Machine Learning-Assisted Optimization of Drug Combinations in Zeolite- Based Delivery Systems for Melanoma Therapy)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
New research on Oncology - Melanoma is the subject of a report. According to news reporting originating in Braga, Portugal, by NewsRx journalists, research stated, “Two independent artificial neural network (ANN) models were used to determine the optimal drug combination of zeolitebased delivery systems (ZDS) for cancer therapy. The systems were based on the NaY zeolite using silver (Ag) and 5-fluorouracil (5-FU) as antimicrobial and antineoplastic agents.” The news reporters obtained a quote from the research from the University of Minho, “Different ZDS samples were prepared, and their characterization indicates the successful incorporation of both pharmacologically active species without any relevant changes to the zeolite structure. Silver acts as a counterion of the negative framework, and 5-FU retains its molecular integrity. The data from the A375 cell viability assays, involving ZDS samples (solid phase), 5-FU, and Ag aqueous solutions (liquid phase), were used to train two independent machine learning (ML) models. Both models exhibited a high level of accuracy in predicting the experimental cell viability results, allowing the development of a novel protocol for virtual cell viability assays. The findings suggest that the incorporation of both Ag and 5-FU into the zeolite structure significantly potentiates their anticancer activity when compared to that of the liquid phase. Additionally, two optimal AgY/5-FU@Y ratios were proposed to achieve the best cell viability outcomes.”
BragaPortugalEuropeCancerCyborgsDrugs and TherapiesEmerging TechnologiesHealth and MedicineMachine LearningMelanomaOncologyTherapy
NETL
NSTL
