Explainable ai for bioinformatics: Methods, tools and applications
Artificial intelligence (AI) systems utilizing deep neural networks and machine learning (ML)
algorithms are widely used for solving critical problems in bioinformatics, biomedical …
algorithms are widely used for solving critical problems in bioinformatics, biomedical …
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 …
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman… - ar** personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …
understanding of disease biology and the ability to dissect the relationship between …
Enrichr-KG: bridging enrichment analysis across multiple libraries
Gene and protein set enrichment analysis is a critical step in the analysis of data collected
from omics experiments. Enrichr is a popular gene set enrichment analysis web-server …
from omics experiments. Enrichr is a popular gene set enrichment analysis web-server …
SciSciNet: A large-scale open data lake for the science of science research
The science of science has attracted growing research interests, partly due to the increasing
availability of large-scale datasets capturing the innerworkings of science. These datasets …
availability of large-scale datasets capturing the innerworkings of science. These datasets …
Accelerating science with human-aware artificial intelligence
Artificial intelligence (AI) models trained on published scientific findings have been used to
invent valuable materials and targeted therapies, but they typically ignore the human …
invent valuable materials and targeted therapies, but they typically ignore the human …
BERN2: an advanced neural biomedical named entity recognition and normalization tool
In biomedical natural language processing, named entity recognition (NER) and named
entity normalization (NEN) are key tasks that enable the automatic extraction of biomedical …
entity normalization (NEN) are key tasks that enable the automatic extraction of biomedical …
Virtual prompt pre-training for prototype-based few-shot relation extraction
Prompt tuning with pre-trained language models (PLM) has exhibited outstanding
performance by reducing the gap between pre-training tasks and various downstream …
performance by reducing the gap between pre-training tasks and various downstream …
[HTML][HTML] BERT based clinical knowledge extraction for biomedical knowledge graph construction and analysis
Background: Knowledge is evolving over time, often as a result of new discoveries or
changes in the adopted methods of reasoning. Also, new facts or evidence may become …
changes in the adopted methods of reasoning. Also, new facts or evidence may become …