[HTML][HTML] Review of drug repositioning approaches and resources
Drug discovery is a time-consuming, high-investment, and high-risk process in traditional
drug development. Drug repositioning has become a popular strategy in recent years …
drug development. Drug repositioning has become a popular strategy in recent years …
Named entity recognition and relation detection for biomedical information extraction
The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
Self-alignment pretraining for biomedical entity representations
Despite the widespread success of self-supervised learning via masked language models
(MLM), accurately capturing fine-grained semantic relationships in the biomedical domain …
(MLM), accurately capturing fine-grained semantic relationships in the biomedical domain …
PubTator central: automated concept annotation for biomedical full text articles
Abstract PubTator Central (https://www. ncbi. nlm. nih. gov/research/pubtator/) is a web
service for viewing and retrieving bioconcept annotations in full text biomedical articles …
service for viewing and retrieving bioconcept annotations in full text biomedical articles …
Text mining approaches for dealing with the rapidly expanding literature on COVID-19
More than 50 000 papers have been published about COVID-19 since the beginning of
2020 and several hundred new papers continue to be published every day. This incredible …
2020 and several hundred new papers continue to be published every day. This incredible …
Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives
J Xu, P Yang, S Xue, B Sharma, M Sanchez-Martin… - Human genetics, 2019 - Springer
In the field of cancer genomics, the broad availability of genetic information offered by next-
generation sequencing technologies and rapid growth in biomedical publication has led to …
generation sequencing technologies and rapid growth in biomedical publication has led to …
Can language models be biomedical knowledge bases?
Pre-trained language models (LMs) have become ubiquitous in solving various natural
language processing (NLP) tasks. There has been increasing interest in what knowledge …
language processing (NLP) tasks. There has been increasing interest in what knowledge …
[PDF][PDF] Benefits of resistance training with blood flow restriction in knee osteoarthritis
RB Ferraz, B Gualano, R Rodrigues… - Med Sci Sports …, 2018 - researchgate.net
Purpose: Evaluate the effects of a low-intensity resistance training program associated with
partial blood flow restriction on selected clinical outcomes in patients with knee osteoarthritis …
partial blood flow restriction on selected clinical outcomes in patients with knee osteoarthritis …
Neural entity linking: A survey of models based on deep learning
This survey presents a comprehensive description of recent neural entity linking (EL)
systems developed since 2015 as a result of the “deep learning revolution” in natural …
systems developed since 2015 as a result of the “deep learning revolution” in natural …
Biomedical entity representations with synonym marginalization
Biomedical named entities often play important roles in many biomedical text mining tools.
However, due to the incompleteness of provided synonyms and numerous variations in their …
However, due to the incompleteness of provided synonyms and numerous variations in their …