Results 1 to 10 of about 1,143,151 (266)

Algorithms for Drug Sensitivity Prediction [PDF]

open access: yesAlgorithms, 2016
Precision medicine entails the design of therapies that are matched for each individual patient. Thus, predictive modeling of drug responses for specific patients constitutes a significant challenge for personalized therapy.
Carlos De Niz   +3 more
doaj   +2 more sources

YRDC is a Prognostic-Related Biomarker Correlated With Immune Infiltration and Drug Sensitivity in Pan-Cancer. [PDF]

open access: yesCancer Rep (Hoboken)
Background YRDC has emerged as a potential biomarker in cancer, yet its prognostic value, oncogenic mechanisms, role in immune infiltration, and anticancer drugs efficacy in pan‐cancer remained poorly understood.
Qiao L, Zhang Y, Huang P.
europepmc   +2 more sources

Role of Mycobacterial Culture and Drug Sensitivity Testing Laboratory under National Tuberculosis Elimination Program for the Abolition of Tuberculosis in India by 2025 [PDF]

open access: yesJournal of Clinical and Diagnostic Research, 2022
India has made a bold promise to eradicate Tuberculosis (TB) by 2025 five years ahead of the global target. Although, one-fourth of the global burden with highest new cases of TB is shown by the country.
Nandini Singh   +4 more
doaj   +1 more source

Bioinformatics Research on Drug Sensitivity Prediction

open access: yesFrontiers in Pharmacology, 2021
Modeling-based anti-cancer drug sensitivity prediction has been extensively studied in recent years. While most drug sensitivity prediction models only use gene expression data, the remarkable impacts of gene mutation, methylation, and copy number ...
Yaojia Chen   +3 more
doaj   +1 more source

Establishment and Genetic Profiling of Platinum/Taxane Doublet-Resistant Cells Generated by Hybridizing Single Resistant Cells

open access: yesClinical and Experimental Obstetrics & Gynecology, 2022
Background: Current standard chemotherapy for gynecologic malignancies consists of platinum agent and taxane though, many patients experience the relapse of disease with drug resistance making the following therapy unsuccessful.
Seiji Isonishi   +3 more
doaj   +1 more source

Drug sensitivity testing, a unique drug selection strategy

open access: yesAdvances in Biomarker Sciences and Technology, 2020
Cancer treatments become more effective now. One cause of these therapeutic promotions is based on drug selective paradigms in the clinic. A small range of drug selective paradigms (pharmacogenomics, precision-oncology, biomarkers and drug sensitivity ...
Da-Yong Lu, Ting-Ren Lu
doaj   +1 more source

Identifying Drug Sensitivity Subnetworks with NETPHIX

open access: yesiScience, 2020
Summary: Phenotypic heterogeneity in cancer is often caused by different patterns of genetic alterations. Understanding such phenotype-genotype relationships is fundamental for the advance of personalized medicine.
Yoo-Ah Kim   +6 more
doaj   +1 more source

Network-based drug sensitivity prediction

open access: yesBMC Medical Genomics, 2020
Background Drug sensitivity prediction and drug responsive biomarker selection on high-throughput genomic data is a critical step in drug discovery.
Khandakar Tanvir Ahmed   +5 more
doaj   +1 more source

Immunomodulatory Factor TIM3 of Cytolytic Active Genes Affected the Survival and Prognosis of Lung Adenocarcinoma Patients by Multi-Omics Analysis

open access: yesBiomedicines, 2022
[Objective] Using multi-omics research methods to explore cytolytic activity-related genes through the immunoregulatory factors HAVCR2 (TIM3) affecting the survival and prognosis of lung adenocarcinoma.
Liusheng Wu   +7 more
doaj   +1 more source

Drug Sensitivity to Bedaquiline of M. kansasii Strains Isolated in Antituberculous Institutions of the City of Moscow

open access: yesЭпидемиология и вакцинопрофилактика, 2023
Relevance. M. kansasii are one of the main nontuberculous bacteria pathogens causing mycobacterial infections in most European countries (including Russia).
M. V. Makarova   +3 more
doaj   +1 more source

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