GW25-e0091 Effects of Cardiac Stem Cells Transplantation on the Ventricular Fibrillation Threshold in Rats with Myocardial Infarction in Short-Term, Medium-Term and Long-Term Period

Network dimensioning is a critical task in current mobile networks, as any failure in this process leads to degraded user experience or unnecessary upgrades of network resources. For this purpose, radio planning tools often predict monthly busy-hour data traffic to detect capacity bottlenecks in advance. Supervised Learning (SL) arises as a promising solution to improve predictions obtained with legacy approaches. Previous works have shown that deep learning outperforms classical time series analysis when predicting data traffic in cellular networks in the short term (seconds/minutes) and medium term (hours/days) from long historical data series. However, long-term forecasting (several months horizon) performed in radio planning tools relies on short and noisy time series, thus requiring a separate analysis. In this work, we present the first study comparing SL and time series analysis approaches to predict monthly busy-hour data traffic on a cell basis in a live LTE network. To this end, an extensive dataset is collected, comprising data traffic per cell for a whole country during 30 months. The considered methods include Random Forest, different Neural Networks, Support Vector Regression, Seasonal Auto Regressive Integrated Moving Average and Additive Holt–Winters. Results show that SL models outperform time series approaches, while reducing data storage capacity requirements. More importantly, unlike in short-term and medium-term traffic forecasting, non-deep SL approaches are competitive with deep learning while being more computationally efficient.

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Injectable collagen scaffold promotes swine myocardial infarction recovery by long-term local retention of transplanted human umbilical cord mesenchymal stem cells

Science China Life Sciences ◽

10.1007/s11427-019-1575-x ◽

2020 ◽

Author(s):

Qiang Wang ◽

Xiaojun He ◽

Bin Wang ◽

Jun Pan ◽

Chunying Shi ◽

...

Keyword(s):

Myocardial Infarction ◽

Stem Cells ◽

Mesenchymal Stem Cells ◽

Umbilical Cord ◽

Collagen Scaffold ◽

Human Umbilical Cord ◽

Injectable Collagen

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Local activation of cardiac stem cells for post-myocardial infarction cardiac repair

Journal of Cellular and Molecular Medicine ◽

10.1111/j.1582-4934.2012.01589.x ◽

2012 ◽

Vol 16 (11) ◽

pp. 2549-2563 ◽

Cited By ~ 15

Author(s):

Zhuzhi Wen ◽

Zun Mai ◽

Haifeng Zhang ◽

Yangxin Chen ◽

Dengfeng Geng ◽

...

Keyword(s):

Myocardial Infarction ◽

Stem Cells ◽

Cardiac Repair ◽

Post Myocardial Infarction ◽

Cardiac Stem Cells ◽

Local Activation

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Heart Repair Using Nanogel-Encapsulated Human Cardiac Stem Cells in Mice and Pigs with Myocardial Infarction

ACS Nano ◽

10.1021/acsnano.7b01008 ◽

2017 ◽

Vol 11 (10) ◽

pp. 9738-9749 ◽

Cited By ~ 55

Author(s):

Junnan Tang ◽

Xiaolin Cui ◽

Thomas G. Caranasos ◽

M. Taylor Hensley ◽

Adam C. Vandergriff ◽

...

Keyword(s):

Myocardial Infarction ◽

Stem Cells ◽

Cardiac Stem Cells ◽

Heart Repair

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EP.WE.14Prognostic significance of metabolic syndrome in patients undergoing carotid artery revascularisation: A systematic review and meta-analysis

British Journal of Surgery ◽

10.1093/bjs/znab308.001 ◽

2021 ◽

Vol 108 (Supplement_7) ◽

Author(s):

Shahab Hajibandeh ◽

Shahin Hajibandeh

Keyword(s):

Myocardial Infarction ◽

Systematic Review ◽

Adverse Events ◽

Meta Analysis ◽

Prognostic Significance ◽

Long Term Outcomes ◽

Short Term ◽

All Cause Mortality ◽

Major Adverse Events

Abstract Aims to evaluate prognostic significance of metabolic syndrome (MetS) in patients undergoing carotid artery revascularisation. Methods A systematic review and meta-analysis was performed in compliance with PRISMA standards to evaluate prognostic significance of MetS in patients undergoing carotid endarterectomy or carotid stenting. Short-term (<30 days) postoperative outcomes (all-cause mortality, stroke or transient ischaemic attack (TIA), myocardial infarction, major adverse events) and long-term outcomes (restenosis, all-cause mortality, stroke or TIA, myocardial infarction, major adverse events) were considered as outcomes of interest. Random effects modelling was applied for the analyses. Results Analysis of 3721 patients from five cohort studies showed no difference between the MetS and no MetS groups in terms of the following short-term outcomes: all-cause mortality (OR: 1.67,P=0.32), stroke or TIA (OR: 2.44,P=0.06), myocardial infarction (OR: 1.01,P=0.96), major adverse events (OR: 1.23, P = 0.66). In terms of long-term outcomes, MetS was associated with higher risk of restenosis (OR: 1.75,P=0.02), myocardial infarction (OR: 2.12,P=0.04), and major adverse events (OR: 1.30, P = 0.009) but there was no difference between the two groups in terms of all-cause mortality (OR: 1.11, P = 0.25), and stroke or TIA (OR: 1.24, P = 0.33). The quality and certainty of the available evidence were judged to be moderate. Conclusions The best available evidence suggest that although MetS may not affect the short-term postoperative morbidity and mortality outcomes in patients undergoing carotid revascularisation, it may result in higher risks of restenosis, myocardial infarction and major adverse events in the long-term. Evidence from large prospective cohort studies are required for more robust conclusions.

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