Results 41 to 50 of about 1,227,223 (348)

Preclinical species gene expression database: Development and meta-analysis

open access: yesFrontiers in Genetics, 2023
The evaluation of toxicity in preclinical species is important for identifying potential safety liabilities of experimental medicines. Toxicology studies provide translational insight into potential adverse clinical findings, but data interpretation may ...
Caitlin Krause   +10 more
doaj   +1 more source

Human Metastatic Cholangiocarcinoma Patient-Derived Xenografts and Tumoroids for Preclinical Drug Evaluation

open access: yesClinical Cancer Research, 2022
Abstract Purpose: Cholangiocarcinoma (CCA) is usually diagnosed at advanced stages, with limited therapeutic options. Preclinical models focused on unresectable metastatic CCA are necessary to develop rational treatments. Pathogenic mutations in IDH1/2, ARID1A/B, BAP1, and BRCA1/2 have been identified
Queralt Serra-Camprubí   +30 more
openaire   +6 more sources

Hooking the big one: the potential of zebrafish xenotransplantation to reform cancer drug screening in the genomic era

open access: yesDisease Models & Mechanisms, 2014
The current preclinical pipeline for drug discovery can be cumbersome and costly, which limits the number of compounds that can effectively be transitioned to use as therapies.
Chansey J. Veinotte   +2 more
doaj   +1 more source

Zero-shot Learning of Drug Response Prediction for Preclinical Drug Screening [PDF]

open access: yesarXiv, 2023
Conventional deep learning methods typically employ supervised learning for drug response prediction (DRP). This entails dependence on labeled response data from drugs for model training. However, practical applications in the preclinical drug screening phase demand that DRP models predict responses for novel compounds, often with unknown drug ...
arxiv  

Preclinical Evaluation of miR-15/107 Family Members as Multifactorial Drug Targets for Alzheimer's Disease

open access: yesMolecular Therapy: Nucleic Acids, 2015
Alzheimer's disease (AD) is a multifactorial, fatal neurodegenerative disorder characterized by the abnormal accumulation of Aβ and Tau deposits in the brain.
S. Parsi   +4 more
semanticscholar   +1 more source

EXPERT EVALUATION OF PRECLINICAL STUDIES OF PRIMARY AND SECONDARY PHARMACODYNAMICS OF MEDICINES

open access: yesРегуляторные исследования и экспертиза лекарственных средств, 2018
The article dwells upon the results of comparative analysis of the Russian national requirements  and EAEU regulations dealing with evaluation of preclinical pharmacological studies.
G. N. Engalycheva   +3 more
doaj   +1 more source

Nanocrown electrodes for parallel and robust intracellular recording of cardiomyocytes

open access: yesNature Communications, 2022
Nanoelectrodes for measuring intracellular action potentials suffer from issues with success rate, signal strength and fabrication. Here, the authors report on a scalable technique which creates robust nanocrown electrodes with high success rates by ...
Zeinab Jahed   +16 more
doaj   +1 more source

T-type Ca2+ Channels: T for Targetable [PDF]

open access: yes, 2018
In the last decade TTCC have been unveiled as key regulators of cancer cells biology and thus have been proposed as chemotherapeutic targets. Indeed in vitro and in vivo studies indicate that TTCC pharmacological blockers have a negative impact on the ...
Cantí Nicolás, Carles   +5 more
core   +2 more sources

Novel strategy for rapid functional in vivo validation of oncogenic drivers in haematological malignancies [PDF]

open access: yes, 2019
In cancer research, it remains challenging to functionally validate putative novel oncogenic drivers and to establish relevant preclinical models for evaluation of novel therapeutic strategies.
Berx, Geert   +16 more
core   +2 more sources

Statistical Learning in Preclinical Drug Proarrhythmic Assessment [PDF]

open access: yesarXiv, 2021
Torsades de pointes (TdP) is an irregular heart rhythm characterized by faster beat rates and potentially could lead to sudden cardiac death. Much effort has been invested in understanding the drug-induced TdP in preclinical studies. However, a comprehensive statistical learning framework that can accurately predict the drug-induced TdP risk from ...
arxiv  

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