Results 41 to 50 of about 1,227,969 (402)

Guidelines for the recording and evaluation of pharmaco-EEG data in man: the International Pharmaco-EEG Society (IPEG) [PDF]

, 2012
The International Pharmaco-EEG Society (IPEG) presents updated guidelines summarising the requirements for the recording and computerised evaluation of pharmaco-EEG data in man.
BABILONI, CLAUDIO, Boeijinga PH, Brunovsky M, Drinkenburg WH, Ffytche DH, Freeman J, Hegerl U, Hirata K, IPEG Pharmaco EEG Guidelines C.o.m.m.i.t.t.e.e. Collaborators, Jobert M, Kinoshita T, Knott VJ, Lopes Da Silva FH, Matousek M, Mucci A, Nottage JF, Olbrich S, Prichep LS, Ruigt GS, Saletu B, Stancak A, Strik WK, van Gerven JM, Wilson FJ, Wise RG   +24 more
core   +1 more source

Preclinical evaluation of drugs to block inflammation-driven preterm birth [PDF]

Innate Immunity, 2016
Intrauterine inflammation, the major cause of early preterm birth, can have microbial and sterile aetiologies. We assessed in a Transwell model the anti-inflammatory efficacies of five drugs on human extraplacental membranes delivered after preterm spontaneous labour (30–34 wk).
John P. Newnham, Shaofu Li, Demelza J. Ireland, Adrian Charles, Jeffrey A. Keelan, Elizabeth Nathan, Matthew W. Kemp, Lisa F Stinson   +7 more
openaire   +2 more sources

Replacement, Reduction, and Refinement of Animal Experiments in Anticancer Drug Development: The Contribution of 3D In Vitro Cancer Models in the Drug Efficacy Assessment

Biomedicines, 2023
In the last decades three-dimensional (3D) in vitro cancer models have been proposed as a bridge between bidimensional (2D) cell cultures and in vivo animal models, the gold standards in the preclinical assessment of anticancer drug efficacy. 3D in vitro
Elena M. Tosca, Davide Ronchi, Daniele Facciolo, Paolo Magni   +3 more
doaj   +1 more source

Evaluation of melanin-targeted radiotherapy in combination with radiosensitizing drugs for the treatment of melanoma [PDF]

, 2014
The incidence of malignant melanoma is rising faster than that of any other cancer in the United States. An [131I]-labeled benzamide - [131I]MIP-1145 - selectively targets melanin, reduces melanoma tumor burden and increases survival in preclinical ...
Babich, John, Boyd, Marie, Hutchison, Sharon, Mairs, Robert, Rae, Colin, Tesson, Mathias   +5 more
core   +1 more source

Use of DNA microarray and small animal positron emission tomography in preclinical drug evaluation of RAF265, a novel B-Raf/VEGFR-2 inhibitor.

Neoplasia, 2011
Positron emission tomography (PET) imaging has become a useful tool for assessing early biologic response to cancer therapy and may be particularly useful in the development of new cancer therapeutics.
Jeffrey R. Tseng, D. Stuart, K. Aardalen, A. Kaplan, N. Aziz, N. Hughes, S. Gambhir   +6 more
semanticscholar   +1 more source

Effects of a new thyrotropic drug isolated from Potentilla alba on the male reproductive system of rats and offspring development

BMC Complementary Medicine and Therapies, 2021
Background The dysfunction of the thyroid gland is a common medical condition. Nowadays, patients frequently use medicinal herbs as complementary or alternative options to conventional drug treatments. These patients may benefit from treatment of thyroid
Lubov V. Krepkova, Valentina V. Bortnikova, Aleksandra N. Babenko, Praskovya G. Mizina, Vladimir A. Mkhitarov, Kathleen M. Job, Catherine M. Sherwin, Elena Y. Enioutina   +7 more
doaj   +1 more source

Prediction of Drug-Induced TdP Risks Using Machine Learning and Rabbit Ventricular Wedge Assay [PDF]

arXiv, 2022
The evaluation of drug-induced Torsades de pointes (TdP) risks is crucial in drug safety assessment. In this study, we discuss machine learning approaches in the prediction of drug-induced TdP risks using preclinical data. Specifically, the random forest model was trained on the dataset generated by the rabbit ventricular wedge assay.
arxiv  

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

Disease 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, Graham Dellaire, Jason N. Berman   +2 more
doaj   +1 more source

The effect of natural products in animal models of temporomandibular disorders [PDF]

Journal of Applied Oral Science, 2020
Treatment of temporomandibular disorders (TMD) is a challenge for health care professionals. Therefore, new approaches have been investigated, such as the use of natural products.
Janaíne Prata OLIVEIRA, Fernando Kenji NAMPO, Marilia Trindade Santana SOUZA, Luana Mendonça CERCATO, Enilton Aparecido CAMARGO   +4 more
doaj   +1 more source

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

arXiv, 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