[HTML][HTML] Overcoming cancer therapeutic bottleneck by drug repurposing

Z Zhang, L Zhou, N Xie, EC Nice, T Zhang… - Signal transduction and …, 2020 - nature.com
Ever present hurdles for the discovery of new drugs for cancer therapy have necessitated
the development of the alternative strategy of drug repurposing, the development of old …

[HTML][HTML] Current trends and future prospects of drug repositioning in gastrointestinal oncology

N Fatemi, M Karimpour, H Bahrami, MR Zali… - Frontiers in …, 2024 - frontiersin.org
Gastrointestinal (GI) cancers comprise a significant number of cancer cases worldwide and
contribute to a high percentage of cancer-related deaths. To improve survival rates of GI …

PRODeepSyn: predicting anticancer synergistic drug combinations by embedding cell lines with protein–protein interaction network

X Wang, H Zhu, Y Jiang, Y Li, C Tang… - Briefings in …, 2022 - academic.oup.com
Although drug combinations in cancer treatment appear to be a promising therapeutic
strategy with respect to monotherapy, it is arduous to discover new synergistic drug …

The anatomy of phenotype ontologies: principles, properties and applications

GV Gkoutos, PN Schofield… - Briefings in …, 2018 - academic.oup.com
The past decade has seen an explosion in the collection of genotype data in domains as
diverse as medicine, ecology, livestock and plant breeding. Along with this comes the …

[HTML][HTML] Drug repositioning and subgroup discovery for precision medicine implementation in triple negative breast cancer

Z Al-Taie, M Hannink, J Mitchem, C Papageorgiou… - Cancers, 2021 - mdpi.com
Simple Summary The heterogeneity of complicated diseases like cancer negatively affects
patients' responses to treatment. Finding homogeneous subgroups of patients within the …

[HTML][HTML] Improving hospital quality risk-adjustment models using interactions identified by hierarchical group lasso regularisation

M Ray, S Zhao, S Wang, A Bohl… - BMC Health Services …, 2023 - Springer
Background Risk-adjustment (RA) models are used to account for severity of illness in
comparing patient outcomes across hospitals. Researchers specify covariates as main …

HetBiSyn: Predicting Anticancer Synergistic Drug Combinations Featuring Bi-perspective Drug Embedding with Heterogeneous Data

Y Li, H Zhu, X Wang, Q Liu - International Symposium on Bioinformatics …, 2023 - Springer
Synergistic drug combination is a promising solution to cancer treatment. Since the
combinatorial space of drug combinations is too vast to be traversed through experiments …

Fee-for-value in the pharmaceutical industry: a policy framework applying data science to negotiate drug prices

NA Patel - Journal of Law and the Biosciences, 2017 - academic.oup.com
In 2013, Valeant Pharmaceuticals, a specialty pharmaceutical company, received the
intellectual property rights to a lead poisoning treatment known as Calcium EDTA as part of …

Using Artificial Intelligence for Drug Repurposing

A Bender - 2022 - books.rsc.org
With more and more data being generated in the life sciences the application of
computational algorithms and 'Artificial Intelligence'(AI) to various fields of drug discovery …

Integrated molecular, clinical, and ontological analysis identifies overlooked disease relationships

WA Haynes, R Vashisht, F Vallania, C Liu, GL Gaskin… - bioRxiv, 2017 - biorxiv.org
We jointly examined gene-expression and electronic health record data for 104 diseases to
identify unbiased clusters of molecularly and clinically related diseases. We performed gene …