Results 101 to 110 of about 8,861,571 (318)
Molecular Oncology, EarlyView.Analysis of ESR1 mutations in plasma cell‐free DNA (cfDNA) is highly important for the selection of treatment in patients with breast cancer. Using multiplex‐ddPCR and identical blood draws, we investigated whether circulating tumor cells (CTCs) and cfDNA provide similar or complementary information for ESR1 mutations.
Stavroula Smilkou +11 more
wiley +1 more source
Social media use by physicians: a qualitative study of the new frontier of medicine
BMC Medical Informatics and Decision Making, 2016 BackgroundA growing number of physicians are using social media as a professional platform for health communication. The purpose of this study was to understand perspectives and experiences of these “early adopter” physician bloggers and social media ...
Lauren Campbell +3 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Patient‐derived xenografts (PDXs) can be improved by implantation of a humanized niche. We tested different biomaterials and approaches, and demonstrate that the combination of an injectable biomaterial for scaffold creation plus an intravenous route for acute myeloid leukemia (AML) xenotransplantation provide the most convenient and robust approach to
Daniel Busa +13 more
wiley +1 more source
Sentiment Analysis based on User Tag for Traditional Chinese Medicine in Weibo [PDF]
arXiv, 2014 With the acceptance of Western culture and science, Traditional Chinese Medicine (TCM) has become a controversial issue in China. So, it's important to study the public's sentiment and opinion on TCM. The rapid development of online social network, such as twitter, make it convenient and efficient to sample hundreds of millions of people for the ...
arxiv
Exploiting Tweet Sentiments in Altmetrics Large-Scale Data [PDF]
arXiv, 2020 This article aims to exploit social exchanges on scientific literature, specifically tweets, to analyse social media users' sentiments towards publications within a research field. First, we employ the SentiStrength tool, extended with newly created lexicon terms, to classify the sentiments of 6,482,260 tweets associated with 1,083,535 publications ...
arxiv
Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer
Molecular Oncology, EarlyView.This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu +7 more
wiley +1 more source
Galician Medical Journal, 2016 Graphical and polynomial (quantitative) regional model of bronchopulmonary dysplasia (BPD) prevalence, depending on the number of premature children, was substantiated, composed and proposed for use for the first time.
A. F. Shypko
doaj
#phramacovigilance - Exploring Deep Learning Techniques for Identifying Mentions of Medication Intake from Twitter [PDF]
arXiv, 2018 Mining social media messages for health and drug related information has received significant interest in pharmacovigilance research. Social media sites (e.g., Twitter), have been used for monitoring drug abuse, adverse reactions of drug usage and analyzing expression of sentiments related to drugs. Most of these studies are based on aggregated results
arxiv
KMT2A degradation is observed in decitabine‐responsive acute lymphoblastic leukemia cells
Molecular Oncology, EarlyView.We demonstrate that decitabine (DEC) not only degrades the DNA methyltransferase DNMT1 but also the leukemic driver lysine methyltransferase KMT2A likely due to structural similarity of the DNA‐binding CXXC domains. DEC influences KMT2A downstream processes and synergizes with menin inhibitor revumenib (REV) to decrease leukemic cell proliferation, and
Luisa Brock +10 more
wiley +1 more source