User profiles for Qingyu Chen
 | Qingyu ChenBiomedical Informatics & Data Science, Yale University; NCBI-NLM, National Institutes of … Verified email at yale.edu Cited by 3128 |
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 each …
published articles on COVID-19 and SARS-CoV-2, with about 10 000 new articles added each …
Keep up with the latest coronavirus research.
An open-resource literature hub known as LitCovid curates the most comprehensive collection
of international research papers so far on the new coronavirus disease COVID-19 (see …
of international research papers so far on the new coronavirus disease COVID-19 (see …
[HTML][HTML] BioWordVec, improving biomedical word embeddings with subword information and MeSH
Distributed word representations have become an essential foundation for biomedical natural
language processing (BioNLP), text mining and information retrieval. Word embeddings …
language processing (BioNLP), text mining and information retrieval. Word embeddings …
DeepSeeNet: a deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs
Purpose In assessing the severity of age-related macular degeneration (AMD), the Age-Related
Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to …
Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to …
BioSentVec: creating sentence embeddings for biomedical texts
Sentence embeddings have become an essential part of today's natural language processing
(NLP) systems, especially together advanced deep learning methods. Although pre-…
(NLP) systems, especially together advanced deep learning methods. Although pre-…
Neutrophil‐to‐lymphocyte ratio positively correlates to age in healthy population
J Li, Q Chen, X Luo, J Hong, K Pan… - Journal of clinical …, 2015 - Wiley Online Library
Background Neutrophil to lymphocyte ratio (NLR) was reported to be an independent easy‐to‐measure
marker for many diseases, while the distribution of NLR in healthy population …
marker for many diseases, while the distribution of NLR in healthy population …
Genegpt: Augmenting large language models with domain tools for improved access to biomedical information
Motivation While large language models (LLMs) have been successfully applied to various
tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific …
tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific …
Opportunities and challenges for ChatGPT and large language models in biomedicine and health
ChatGPT has drawn considerable attention from both the general public and domain
experts with its remarkable text generation capabilities. This has subsequently led to the …
experts with its remarkable text generation capabilities. This has subsequently led to the …
Effect of boron on osteogenic differentiation of human bone marrow stromal cells
X Ying, S Cheng, W Wang, Z Lin, Q Chen… - Biological trace element …, 2011 - Springer
Bone marrow stromal cells (BMSCs) have been well established as an ideal source of cell-based
therapy for bone tissue engineering applications. Boron (B) is a notable trace element …
therapy for bone tissue engineering applications. Boron (B) is a notable trace element …
ML-Net: multi-label classification of biomedical texts with deep neural networks
Objective In multi-label text classification, each textual document is assigned 1 or more
labels. As an important task that has broad applications in biomedicine, a number of different …
labels. As an important task that has broad applications in biomedicine, a number of different …