Titlebook: Computational Physiology; Simula Summer School Kimberly J. McCabe Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if applicable) and The Author(s) 2024 Op

T-cell

書目名稱Computational Physiology影響因子(影響力)




書目名稱Computational Physiology影響因子(影響力)學(xué)科排名




書目名稱Computational Physiology網(wǎng)絡(luò)公開(kāi)度




書目名稱Computational Physiology網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Computational Physiology被引頻次




書目名稱Computational Physiology被引頻次學(xué)科排名




書目名稱Computational Physiology年度引用




書目名稱Computational Physiology年度引用學(xué)科排名




書目名稱Computational Physiology讀者反饋




書目名稱Computational Physiology讀者反饋學(xué)科排名

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Glower

https://doi.org/10.1007/978-3-642-20132-5 activity of that population in a connected beta cell network. We could not immediately observe cells with obvious hub or leader phenotypes within the heterogeneous network. However, with this study we built the basis for further ”ground-up” investigation of relationships between beta cell heterogen

尊嚴(yán)

Organonitrile

Xianghua Gan,Suresh P. Sethi,Houmin Yanstantial influence of the non-Newtonian model and blood flow rate on CFD outcomes, highlighting the need of incorporating non-Newtonian rheology and patient-specific blood flow measurements in CFD simulations.

翻布尋找

Augmentation of Cardiac Ischemic Geometry for Improving Machine Learning Performance in Arrhythmic s approach, we also introduce a data augmentation pipeline to train a machine learning (ML) model for risk stratification, enabling accurate and real-time prediction of the simulation outcomes. Our trained ML model achieved an accuracy of 88.0% and F1 score of 48%, with a prediction time of 0.01 sec

翻布尋找

Non-Invasive Detection of Fetal Ischemia Through Electrocardiography,ple-Kernel Learning (MKL) with k-means clustering identified changes consistent with fetal cardiac ischemia despite noise from the parental heart. Thus, in this early proof-of-concept investigation, our results suggest that NI-fECG may offer a means for detecting global cardiac ischemia.

觀點(diǎn)

Reconstruction of a Pancreatic Beta Cell Network From Heterogeneous Functional Measurements, activity of that population in a connected beta cell network. We could not immediately observe cells with obvious hub or leader phenotypes within the heterogeneous network. However, with this study we built the basis for further ”ground-up” investigation of relationships between beta cell heterogen

無(wú)脊椎

ANN