Results 71 to 80 of about 157,658 (286)
Using natural language processing to improve biomedical concept normalization and relation mining [PDF]
, 2013 This thesis concerns the use of natural language processing for improving biomedical concept normalization and relation mining. We begin with introducing the background of biomedical text mining, and subsequently we will continue by describing a typical ...
Kang, N. (Ning)
core +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
Advanced Functional Materials, EarlyView.DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
ODDPub – a Text-Mining Algorithm to Detect Data Sharing in Biomedical Publications
bioRxiv, 2020 Open research data are increasingly recognized as a quality indicator and an important resource to increase transparency, robustness and collaboration in science.
N. Riedel, M. Kip, Evgeny Bobrov
semanticscholar +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
A neural network approach to chemical and gene/protein entity recognition in patents
Journal of Cheminformatics, 2018 In biomedical research, patents contain the significant amount of information, and biomedical text mining has received much attention in patents recently.
Ling Luo +6 more
doaj +1 more source
JMIR Medical Informatics, 2021 BackgroundNatural language processing has long been applied in various applications for biomedical knowledge inference and discovery. Enrichment analysis based on named entity recognition is a classic application for inferring enriched associations in ...
Xuan Qin, Xinzhi Yao, Jingbo Xia
doaj +1 more source
Development of text mining tools for information retrieval from patents [PDF]
, 2017 Biomedical literature is composed of an ever increasing number of publications in natural language. Patents are a relevant fraction of those, being important sources of information due to all the curated data from the granting process.
A Faro +7 more
core +1 more source
Advanced Science, EarlyView.Osteosarcoma is the most common primary bone tumor with limited treatment options and a terrible prognosis. This review provides a comprehensive summary of the recent development of osteoimmunomodulatory implants for post‐operative osteosarcoma treatment, of which the potential utility in evoking durable anti‐osteosarcoma immunity and accelerating bone
Yilong Dong +6 more
wiley +1 more source
Co-occurrence of Cell Lines, Basal Media and Supplementation in the Biomedical Research Literature
Journal of Data and Information Science, 2020 The use of in vitro cell culture and experimentation is a cornerstone of biomedical research, however, more attention has recently been given to the potential consequences of using such artificial basal medias and undefined supplements.
Cox Jessica +3 more
doaj +1 more source
Using a search engine-based mutually reinforcing approach to assess the semantic relatedness of biomedical terms. [PDF]
PLoS ONE, 2013 BACKGROUND: Determining the semantic relatedness of two biomedical terms is an important task for many text-mining applications in the biomedical field.
Yi-Yu Hsu, Hung-Yu Chen, Hung-Yu Kao
doaj +1 more source