[HTML][HTML] Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare
Precision Medicine implies a deep understanding of inter-individual differences in health
and disease that are due to genetic and environmental factors. To acquire such …
and disease that are due to genetic and environmental factors. To acquire such …
Deep learning in electron microscopy
JM Ede - Machine Learning: Science and Technology, 2021 - iopscience.iop.org
Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …
microscopy. This review paper offers a practical perspective aimed at developers with …
LitCovid: an open database of COVID-19 literature
Since the outbreak of the current pandemic in 2020, there has been a rapid growth of
published articles on COVID-19 and SARS-CoV-2, with about 10 000 new articles added …
published articles on COVID-19 and SARS-CoV-2, with about 10 000 new articles added …
The role of machine learning in the understanding and design of materials
Developing algorithmic approaches for the rational design and discovery of materials can
enable us to systematically find novel materials, which can have huge technological and …
enable us to systematically find novel materials, which can have huge technological and …
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 …
Artificial intelligence in action: addressing the COVID-19 pandemic with natural language processing
The COVID-19 (coronavirus disease 2019) pandemic has had a significant impact on
society, both because of the serious health effects of COVID-19 and because of public …
society, both because of the serious health effects of COVID-19 and because of public …
Performance of multiple pretrained BERT models to automate and accelerate data annotation for large datasets
Purpose To develop and evaluate domain-specific and pretrained bidirectional encoder
representations from transformers (BERT) models in a transfer learning task on varying …
representations from transformers (BERT) models in a transfer learning task on varying …
LitSuggest: a web-based system for literature recommendation and curation using machine learning
Searching and reading relevant literature is a routine practice in biomedical research.
However, it is challenging for a user to design optimal search queries using all the keywords …
However, it is challenging for a user to design optimal search queries using all the keywords …
BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale
A massive number of biological entities, such as genes and mutations, are mentioned in the
biomedical literature. The capturing of the semantic relatedness of biological entities is vital …
biomedical literature. The capturing of the semantic relatedness of biological entities is vital …
A roadmap for the functional annotation of protein families: a community perspective
Over the last 25 years, biology has entered the genomic era and is becoming a science of
'big data'. Most interpretations of genomic analyses rely on accurate functional annotations …
'big data'. Most interpretations of genomic analyses rely on accurate functional annotations …