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Journal of Diabetes Science and Technology
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March 10, 2012
Data entry errors and design for model-based tight glycemic control in critical care
Logan Ward, James Steel, Aaron Le Compte, et al.
Chest
|
July 19, 2022
Machine-Learning Model for Mortality Prediction in Patients With Community-Acquired Pneumonia: Development and Validation Study
Catia Cilloniz, Logan Ward, Mads Lause Mogensen, et al.
ACS Combinatorial Science
|
June 5, 2020
A High-Throughput Structural and Electrochemical Study of Metallic Glass Formation in Ni-Ti-Al
Howie Joress, Brian L DeCost, Suchismita Sarker, et al.
Scientific Reports
|
July 20, 2023
Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data
John Karlsson Valik, Logan Ward, Hideyuki Tanushi, et al.
Journal of Diabetes Science and Technology
|
March 10, 2012
Stochastic targeted (STAR) glycemic control: design, safety, and performance
Alicia Evans, Aaron Le Compte, Chia-Siong Tan, et al.
BMJ Quality & Safety
|
February 8, 2020
Validation of automated sepsis surveillance based on the Sepsis-3 clinical criteria against physician record review in a general hospital population: observational study using electronic health records data
John Karlsson Valik, Logan Ward, Hideyuki Tanushi, et al.
Annals of Intensive Care
|
September 21, 2011
Pilot proof of concept clinical trials of Stochastic Targeted (STAR) glycemic control
Alicia Evans, Geoffrey M Shaw, Aaron Le Compte, et al.
Nature Communications
|
February 17, 2025
Autonomous platform for solution processing of electronic polymers
Chengshi Wang, Yeon-Ju Kim, Aikaterini Vriza, et al.
Biorxiv : the Preprint Server for Biology
|
December 1, 2022
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
Maxim Zvyagin, Alexander Brace, Kyle Hippe, et al.
Journal of Chemical Information and Modeling
|
October 20, 2025
dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets
Jinzhe Zeng, Xingliang Peng, Yong-Bin Zhuang, et al.
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of 4
Search research articles
Search
Showing results (21-30 of 32) with videos related to
Sort By:
Page
of 4
Journal of Diabetes Science and Technology
|
March 10, 2012
Data entry errors and design for model-based tight glycemic control in critical care
Logan Ward, James Steel, Aaron Le Compte, et al.
Chest
|
July 19, 2022
Machine-Learning Model for Mortality Prediction in Patients With Community-Acquired Pneumonia: Development and Validation Study
Catia Cilloniz, Logan Ward, Mads Lause Mogensen, et al.
ACS Combinatorial Science
|
June 5, 2020
A High-Throughput Structural and Electrochemical Study of Metallic Glass Formation in Ni-Ti-Al
Howie Joress, Brian L DeCost, Suchismita Sarker, et al.
Scientific Reports
|
July 20, 2023
Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data
John Karlsson Valik, Logan Ward, Hideyuki Tanushi, et al.
Journal of Diabetes Science and Technology
|
March 10, 2012
Stochastic targeted (STAR) glycemic control: design, safety, and performance
Alicia Evans, Aaron Le Compte, Chia-Siong Tan, et al.
BMJ Quality & Safety
|
February 8, 2020
Validation of automated sepsis surveillance based on the Sepsis-3 clinical criteria against physician record review in a general hospital population: observational study using electronic health records data
John Karlsson Valik, Logan Ward, Hideyuki Tanushi, et al.
Annals of Intensive Care
|
September 21, 2011
Pilot proof of concept clinical trials of Stochastic Targeted (STAR) glycemic control
Alicia Evans, Geoffrey M Shaw, Aaron Le Compte, et al.
Nature Communications
|
February 17, 2025
Autonomous platform for solution processing of electronic polymers
Chengshi Wang, Yeon-Ju Kim, Aikaterini Vriza, et al.
Biorxiv : the Preprint Server for Biology
|
December 1, 2022
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
Maxim Zvyagin, Alexander Brace, Kyle Hippe, et al.
Journal of Chemical Information and Modeling
|
October 20, 2025
dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets
Jinzhe Zeng, Xingliang Peng, Yong-Bin Zhuang, et al.
Page
of 4