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The pressure in the renal interstitium is an important factor for normal kidney function. Here we develop a computational model of the rat kidney and use it to investigate the relationship between arterial blood pressure and interstitial…

Tissues and Organs · Quantitative Biology 2016-09-19 Mariel Bedell , Claire Yilin Lin , Emmie Roman-Melendez , Ioannis Sgouralis

Continuous monitoring of non-invasive skin sympathetic nerve activity (SKNA) holds promise for understanding the sympathetic nervous system (SNS) dynamics in various physiological and pathological conditions. However, muscle noise artifacts…

Machine Learning · Computer Science 2024-10-30 Farnoush Baghestani , Mahdi Pirayesh Shirazi Nejad , Youngsun Kong , Ki H. Chon

In recent years, skin sympathetic nerve activity (SKNA) extracted from electrocardiogram has gained attention as a novel noninvasive measure of the sympathetic nervous system (SNS), while electrodermal activity (EDA) has long served this…

Neurons and Cognition · Quantitative Biology 2024-11-26 Farnoush Baghestani , Youngsun Kong , Ki H. Chon

Chronic kidney disease (CKD) is a gradual loss of renal function over time, and it increases the risk of mortality, decreased quality of life, as well as serious complications. The prevalence of CKD has been increasing in the last couple of…

Machine Learning · Computer Science 2020-11-18 Jinghe Zhang , Kamran Kowsari , Mehdi Boukhechba , James Harrison , Jennifer Lobo , Laura Barnes

The objective of this study was to characterize hemodynamic changes during trans-vascular stimulation of the renal nerve and their dependence on stimulation parameters. We employed a stimulation catheter inserted in the right renal artery…

Quantitative Methods · Quantitative Biology 2024-06-06 Filippo Agnesi , Lucia Carlucci , Gia Burjanadze , Fabio Bernini , Khatia Gabisonia , John W Osborn , Silvestro Micera , Fabio A. Recchia

Purpose: As a typical chronic kidney disease (CKD), hypertensive nephrosclerosis (HN) is a common syndrome of hypertension, characterized by chronic kidney microvascular damage. Early diagnosis of microvascular damage using conventional…

Medical Physics · Physics 2022-05-04 L. Qiu , J. Zhang , Y. Yang , H. Zhang , F. Lee , Q. He , L. Qian , J. Luo

Purpose: To assess the utility of Laplacian fitting to describe the differences in hyperpolarized 13C urea T2 relaxation in ischemic and healthy rodent kidneys. Theory and Methods: Six rats with unilateral renal ischemia were investigated.…

\textit{In vivo} spin spin relaxation time ($T_2$) heterogeneity of hyperpolarized \textsuperscript{13}C urea in the rat kidney was investigated. Selective quenching of the vascular hyperpolarized \textsuperscript{13}C signal with a…

Chronic kidney disease (CKD) is a significant public health challenge, often progressing to end-stage renal disease (ESRD) if not detected and managed early. Early intervention, warranted by silent disease progression, can significantly…

Machine Learning · Computer Science 2024-11-19 Zachary Dana , Ahmed Ammar Naseer , Botros Toro , Sumanth Swaminathan

Assessment of the sympathetic nervous system (SNS) is one of the major approaches for studying affective states. Skin nerve activity (SKNA) derived from high-frequency components of electrocardiogram (ECG) signals has been a promising…

Signal Processing · Electrical Eng. & Systems 2024-11-14 Youngsun Kong , Farnoush Baghestani , William D'Angelo , I-Ping Chen , Ki H. Chon

Cardiovascular disease and chronic kidney disease are major complications of diabetes, leading to high morbidity and mortality. Early detection of these conditions is critical, yet traditional diagnostic markers often lack sensitivity in…

Other Quantitative Biology · Quantitative Biology 2025-10-20 Syed Ibad Hasnain

Reversed Potts shunt (PS) was suggested as palliation for patients with suprasystemic pulmonary arterial hypertension (PAH) and right ventricular (RV) failure. PS, however, can result in poorly understood mortality. Here, a patient-specific…

The sympathetic nervous system (SNS) plays a central role in regulating the body's responses to stress and maintaining physiological stability. Its dysregulation is associated with a wide range of conditions, from cardiovascular disease to…

Artificial Intelligence · Computer Science 2025-09-10 Farnoush Baghestani , Jihye Moon , Youngsun Kong , Ki Chon

We study the behavior of a Time-Aware Long Short-Term Memory Autoencoder, a state-of-the-art method, in the context of learning latent representations from irregularly sampled patient data. We identify a key issue in the way such recurrent…

Machine Learning · Computer Science 2019-02-12 Duc Thanh Anh Luong , Varun Chandola

Spasticity is a common movement disorder symptom in individuals with cerebral palsy, hereditary spastic paraplegia, spinal cord injury and stroke, being one of the most disabling features in the progression of these diseases. Despite the…

Robotics · Computer Science 2025-12-08 Andrés Chavarrías , David Rodriguez-Cianca , Pablo Lanillos

Our brain is a complex information processing network in which the nervous system receives information from the environment to quickly react to incoming events or learns from experience to sharp our memory. In the nervous system, the brain…

Neurons and Cognition · Quantitative Biology 2022-06-20 Thi Kim Thoa Thieu , Roderick Melnik

Many individuals with chronic musculoskeletal pain (CMP) show impairments in their pain-modulatory capacity. Although stress plays an important role in chronic pain, it is not known if stress-induced analgesia (SIA) is affected in patients…

Neurons and Cognition · Quantitative Biology 2022-12-05 Martin Löffler , Pia Schneider , Sigrid Schuh-Hofer , Sandra Kamping , Katrin Usai , Rolf-Detlef Treede , Frauke Nees , Herta Flor

The presence of Long Distance Dependencies (LDDs) in sequential data poses significant challenges for computational models. Various recurrent neural architectures have been designed to mitigate this issue. In order to test these…

Machine Learning · Computer Science 2018-10-09 Abhijit Mahalunkar , John D. Kelleher

Sepsis, a life-threatening inflammatory response to infection, causes organ dysfunction, making early detection and optimal management critical. Previous reinforcement learning (RL) approaches to sepsis management rely primarily on…

Machine Learning · Computer Science 2025-08-12 Yooseok Lim , ByoungJun Jeon , Seong-A Park , Jisoo Lee , Sae Won Choi , Chang Wook Jeong , Ho-Geol Ryu , Hongyeol Lee , Hyun-Lim Yang

Respiratory ailments afflict a wide range of people and manifests itself through conditions like asthma and sleep apnea. Continuous monitoring of chronic respiratory ailments is seldom used outside the intensive care ward due to the large…

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