Andrew E Blanchard
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Explore the profile of Andrew E Blanchard including associated specialties, affiliations and a list of published articles.
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15
Citations
207
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Recent Articles
1.
Yoon H, Klasky H, Blanchard A, Christian J, Durbin E, Wu X, et al.
BMC Med Inform Decis Mak
. 2024 Sep;
24(Suppl 5):262.
PMID: 39289714
Background: Applying graph convolutional networks (GCN) to the classification of free-form natural language texts leveraged by graph-of-words features (TextGCN) was studied and confirmed to be an effective means of describing...
2.
Blanchard A, Gounley J, Bhowmik D, Chandra Shekar M, Lyngaas I, Gao S, et al.
Int J High Perform Comput Appl
. 2024 Apr;
36(5-6):587-602.
PMID: 38603308
The COVID-19 pandemic highlights the need for computational tools to automate and accelerate drug design for novel protein targets. We leverage deep learning language models to generate and score drug...
3.
Blanchard A, Bhowmik D, Fox Z, Gounley J, Glaser J, Akpa B, et al.
J Cheminform
. 2023 Jun;
15(1):59.
PMID: 37291633
The vast size of chemical space necessitates computational approaches to automate and accelerate the design of molecular sequences to guide experimental efforts for drug discovery. Genetic algorithms provide a useful...
4.
Yoon H, Stanley C, Christian J, Klasky H, Blanchard A, Durbin E, et al.
Cancer Biomark
. 2022 Feb;
33(2):185-198.
PMID: 35213361
Background: With the use of artificial intelligence and machine learning techniques for biomedical informatics, security and privacy concerns over the data and subject identities have also become an important issue...
5.
Blanchard A, Gao S, Yoon H, Christian J, Durbin E, Wu X, et al.
IEEE J Biomed Health Inform
. 2022 Jan;
26(6):2796-2803.
PMID: 35020599
Recent applications ofdeep learning have shown promising results for classifying unstructured text in the healthcare domain. However, the reliability of models in production settings has been hindered by imbalanced data...
6.
Cao Y, Neu J, Blanchard A, Lu T, You L
PLoS Comput Biol
. 2021 Mar;
17(3):e1008168.
PMID: 33735192
Spatial expansion of a population of cells can arise from growth of microorganisms, plant cells, and mammalian cells. It underlies normal or dysfunctional tissue development, and it can be exploited...
7.
Blanchard A, Stanley C, Bhowmik D
J Cheminform
. 2021 Feb;
13(1):14.
PMID: 33622401
The process of drug discovery involves a search over the space of all possible chemical compounds. Generative Adversarial Networks (GANs) provide a valuable tool towards exploring chemical space and optimizing...
8.
Celik Ozgen V, Kong W, Blanchard A, Liu F, Lu T
Sci Adv
. 2018 Nov;
4(11):eaau0695.
PMID: 30474057
In microbial communities, social interactions such as competition occur ubiquitously across multiple spatial scales from local proximity to remote distance. However, it remains unclear how such a spatial variation of...
9.
Blanchard A, Liao C, Lu T
Biophys J
. 2018 Feb;
114(3):737-746.
PMID: 29414718
Quantitative modeling of gene circuits is fundamentally important to synthetic biology, as it offers the potential to transform circuit engineering from trial-and-error construction to rational design and, hence, facilitates the...
10.
Liao C, Blanchard A, Lu T
Nat Microbiol
. 2017 Sep;
2(12):1658-1666.
PMID: 28947816
One fundamental challenge in synthetic biology is the lack of quantitative tools that accurately describe and predict the behaviours of engineered gene circuits. This challenge arises from multiple factors, among...