Ngā hua rapu kaituhi

1

Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An <i>In Silico</i> Validation mā Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou

I whakaputaina 2020

Whiwhi kuputuhi katoa
Artigo

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2

Deep Learning for Diabetes: A Systematic Review mā Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou

I whakaputaina 2020

Whiwhi kuputuhi katoa
Revisão

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3

Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning mā Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou

I whakaputaina 2022

Whiwhi kuputuhi katoa
Artigo

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4

GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks mā Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou

I whakaputaina 2023

Whiwhi kuputuhi katoa
Artigo

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5

Convolutional Recurrent Neural Networks for Glucose Prediction mā Kezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou

I whakaputaina 2019

Whiwhi kuputuhi katoa
Artigo

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6

GluNet: A Deep Learning Framework for Accurate Glucose Forecasting mā Kezhi Li, Chengyuan Liu, Taiyu Zhu, Pau Herrero, Pantelis Georgiou

I whakaputaina 2019

Whiwhi kuputuhi katoa
Artigo

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7

Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes mā Taiyu Zhu, Kezhi Li, Jianwei Chen, Pau Herrero, Pantelis Georgiou

I whakaputaina 2020

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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8

An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning mā Taiyu Zhu, Kezhi Li, Lei Kuang, Pau Herrero, Pantelis Georgiou

I whakaputaina 2020

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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9

Impact of primary colorectal Cancer location on the KRAS status and its prognostic value mā Mingzhi Xie, Jilin Li, Zhengmin Cai, Kezhi Li, Bang-li Hu

I whakaputaina 2019

Whiwhi kuputuhi katoa
Revisão

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10

Blood Glucose Prediction in Type 1 Diabetes Using Deep Learning on the Edge mā Taiyu Zhu, Lei Kuang, Kezhi Li, Junming Zeng, Pau Herrero, Pantelis Georgiou

I whakaputaina 2021

Whiwhi kuputuhi katoa
Artigo

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11

Enhancing self-management in type 1 diabetes with wearables and deep learning mā Taiyu Zhu, Chukwuma Uduku, Kezhi Li, Pau Herrero, Nick Oliver, Pantelis Georgiou

I whakaputaina 2022

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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12

Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge mā Taiyu Zhu, Lei Kuang, Chengzhe Piao, Junming Zeng, Kezhi Li, Pantelis Georgiou

I whakaputaina 2024

Whiwhi kuputuhi katoa
Artigo

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13

Prognostic value of peripheral blood natural killer cells in colorectal cancer mā Yanping Tang, Mingzhi Xie, Kezhi Li, Jilin Li, Zhengmin Cai, Bang-li Hu

I whakaputaina 2020

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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14

Large Language Model for Mental Health: A Systematic Review (Preprint) mā Zhijun Guo, Alvina G. Lai, Johan H. Thygesen, Joseph Farrington, Thomas Keen, Kezhi Li

I whakaputaina 2024

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Revisão

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15

Large Language Models for Mental Health Applications: A Systematic Review (Preprint) mā Zhijun Guo, Alvina G. Lai, Johan H. Thygesen, Joseph Farrington, Thomas Keen, Kezhi Li

I whakaputaina 2024

Whiwhi kuputuhi katoa
Revisão

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16

Machine learning in transfusion medicine: A scoping review mā Suzanne Maynard, Joseph Farrington, Samah Alimam, Hayley G. Evans, Kezhi Li, Wai Keong Wong, Simon Stanworth

I whakaputaina 2023

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Revisão

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17

GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series mā Chengzhe Piao, Taiyu Zhu, Stephanie Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li

I whakaputaina 2025

Whiwhi kuputuhi katoa
Artigo

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18

Exosomal lncRNA PCAT1 Promotes Tumor Circulating Cell-Mediated Colorectal Cancer Liver Metastasis by Regulating the Activity of the miR-329-3p/Netrin-1-CD146 Complex mā Xingbao Fang, Yongping Xu, Kezhi Li, Peiwan Liu, Hong Zhang, Yang Jiang, Jian‐Wei Tang, Yuehong Li

I whakaputaina 2022

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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19

Machine learning for real-time aggregated prediction of hospital admission for emergency patients mā Zella King, Joseph Farrington, Martin Utley, Enoch Kung, Samer Elkhodair, Steve Harris, Richard Sekula, Jonathan Gillham, Kezhi Li, Sonya Crowe

I whakaputaina 2022

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Artigo

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20

An open-source platform for analyzing and sharing worm-behavior data mā Avelino Javer, Michael Currie, Chee Wai Lee, Jim Hokanson, Kezhi Li, Céline N. Martineau, Eviatar Yemini, Laura J Grundy, Chris Li, Quee-Lim Ch'ng, William R Schafer, Ellen A. A. Nollen, Rex Kerr, André EX Brown

I whakaputaina 2018

Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
Carta

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Ngā hua rapu - Kezhi Li

Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An <i>In Silico</i> Validation mā Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou

Deep Learning for Diabetes: A Systematic Review mā Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou

Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning mā Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou

GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks mā Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou

Convolutional Recurrent Neural Networks for Glucose Prediction mā Kezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou

GluNet: A Deep Learning Framework for Accurate Glucose Forecasting mā Kezhi Li, Chengyuan Liu, Taiyu Zhu, Pau Herrero, Pantelis Georgiou

Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes mā Taiyu Zhu, Kezhi Li, Jianwei Chen, Pau Herrero, Pantelis Georgiou

An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning mā Taiyu Zhu, Kezhi Li, Lei Kuang, Pau Herrero, Pantelis Georgiou

Impact of primary colorectal Cancer location on the KRAS status and its prognostic value mā Mingzhi Xie, Jilin Li, Zhengmin Cai, Kezhi Li, Bang-li Hu

Blood Glucose Prediction in Type 1 Diabetes Using Deep Learning on the Edge mā Taiyu Zhu, Lei Kuang, Kezhi Li, Junming Zeng, Pau Herrero, Pantelis Georgiou

Enhancing self-management in type 1 diabetes with wearables and deep learning mā Taiyu Zhu, Chukwuma Uduku, Kezhi Li, Pau Herrero, Nick Oliver, Pantelis Georgiou

Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge mā Taiyu Zhu, Lei Kuang, Chengzhe Piao, Junming Zeng, Kezhi Li, Pantelis Georgiou

Prognostic value of peripheral blood natural killer cells in colorectal cancer mā Yanping Tang, Mingzhi Xie, Kezhi Li, Jilin Li, Zhengmin Cai, Bang-li Hu

Large Language Model for Mental Health: A Systematic Review (Preprint) mā Zhijun Guo, Alvina G. Lai, Johan H. Thygesen, Joseph Farrington, Thomas Keen, Kezhi Li

Large Language Models for Mental Health Applications: A Systematic Review (Preprint) mā Zhijun Guo, Alvina G. Lai, Johan H. Thygesen, Joseph Farrington, Thomas Keen, Kezhi Li

Machine learning in transfusion medicine: A scoping review mā Suzanne Maynard, Joseph Farrington, Samah Alimam, Hayley G. Evans, Kezhi Li, Wai Keong Wong, Simon Stanworth

GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series mā Chengzhe Piao, Taiyu Zhu, Stephanie Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li

Exosomal lncRNA PCAT1 Promotes Tumor Circulating Cell-Mediated Colorectal Cancer Liver Metastasis by Regulating the Activity of the miR-329-3p/Netrin-1-CD146 Complex mā Xingbao Fang, Yongping Xu, Kezhi Li, Peiwan Liu, Hong Zhang, Yang Jiang, Jian‐Wei Tang, Yuehong Li

Machine learning for real-time aggregated prediction of hospital admission for emergency patients mā Zella King, Joseph Farrington, Martin Utley, Enoch Kung, Samer Elkhodair, Steve Harris, Richard Sekula, Jonathan Gillham, Kezhi Li, Sonya Crowe

An open-source platform for analyzing and sharing worm-behavior data mā Avelino Javer, Michael Currie, Chee Wai Lee, Jim Hokanson, Kezhi Li, Céline N. Martineau, Eviatar Yemini, Laura J Grundy, Chris Li, Quee-Lim Ch'ng, William R Schafer, Ellen A. A. Nollen, Rex Kerr, André EX Brown

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