[HTML][HTML] Overcoming cancer therapeutic bottleneck by drug repurposing
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 …
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 …
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 …
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 …
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
Simple Summary The heterogeneity of complicated diseases like cancer negatively affects
patients' responses to treatment. Finding homogeneous subgroups of patients within the …
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 …
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 …
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 …
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 …
computational algorithms and 'Artificial Intelligence'(AI) to various fields of drug discovery …
Integrated molecular, clinical, and ontological analysis identifies overlooked disease relationships
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 …
identify unbiased clusters of molecularly and clinically related diseases. We performed gene …