research
∙
07/02/2023
BioCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval
Information retrieval (IR) is essential in biomedical knowledge acquisit...
share
research
∙
06/19/2023
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous Datasets
Biomedical relation extraction (RE) is the task of automatically identif...
research
∙
06/15/2023
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health
ChatGPT has drawn considerable attention from both the general public an...
research
∙
04/19/2023
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information
While large language models (LLMs) have been successfully applied to var...
research
∙
02/19/2023
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning
Medical visual question answering (VQA) aims to answer clinically releva...
research
∙
02/03/2023
Bioformer: an efficient transformer language model for biomedical text mining
Pretrained language models such as Bidirectional Encoder Representations...
research
∙
11/30/2022
AIONER: All-in-one scheme-based biomedical named entity recognition using deep learning
Biomedical named entity recognition (BioNER) seeks to automatically reco...
research
∙
09/27/2022
LitCovid in 2022: an information resource for the COVID-19 literature
LitCovid (https://www.ncbi.nlm.nih.gov/research/coronavirus/), first lau...
research
∙
09/16/2022
Comprehensive identification of Long Covid articles with human-in-the-loop machine learning
A significant percentage of COVID-19 survivors experience ongoing multis...
research
∙
05/08/2022
Assigning Species Information to Corresponding Genes by a Sequence Labeling Framework
The automatic assignment of species information to the corresponding gen...
research
∙
04/20/2022
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
The COVID-19 pandemic has been severely impacting global society since D...
research
∙
04/19/2022
LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation
The rapid growth of biomedical literature poses a significant challenge ...
research
∙
11/09/2020
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degenera
Objective Reticular pseudodrusen (RPD), a key feature of age-related mac...
research
∙
10/09/2020
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)
The COVID-19 pandemic has had a significant impact on society, both beca...
research
∙
08/07/2020
Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view
Timely access to accurate scientific literature in the battle with the o...
research
∙
07/19/2020
Predicting risk of late age-related macular degeneration using deep learning
By 2040, age-related macular degeneration (AMD) will affect approximatel...
research
∙
05/06/2020
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining
Multi-task learning (MTL) has achieved remarkable success in natural lan...
research
∙
04/26/2020
Citation Cascade and the Evolution of Topic Relevance
Citation analysis, as a tool for quantitative studies of science, has lo...
research
∙
12/23/2019
BioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale
Capturing the semantics of related biological concepts, such as genes an...
research
∙
09/06/2019
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
Capturing sentence semantics plays a vital role in a range of text minin...
research
∙
06/07/2019
A deep learning approach for automated detection of geographic atrophy from color fundus photographs
Purpose: To assess the utility of deep learning in the detection of geog...
research
∙
12/02/2018
A multi-task deep learning model for the classification of Age-related Macular Degeneration
Age-related Macular Degeneration (AMD) is a leading cause of blindness. ...
research
∙
11/19/2018
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs
In assessing the severity of age-related macular degeneration (AMD), the...
research
∙
11/13/2018
ML-Net: multi-label classification of biomedical texts with deep neural networks
Background: Multi-label text classification is one type of text classifi...
research
∙
10/22/2018