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Articles 1 - 7 of 7
Full-Text Articles in Disease Modeling
The Crucial Role Of Machine Learning Models In Predicting Current Childhood Asthma: Model Comparison, Calibration, And Shap-Based Interpretation, Aditya Chakraborty, A. K.M. Raquibul Bashar
The Crucial Role Of Machine Learning Models In Predicting Current Childhood Asthma: Model Comparison, Calibration, And Shap-Based Interpretation, Aditya Chakraborty, A. K.M. Raquibul Bashar
Epidemiology, Biostatistics, & Environmental Health Faculty Publications
Background: Asthma is one of the most prominent chronic diseases in children and one of the most challenging ailments to diagnose in infants and preschoolers in the United States. Predictive models can be instrumental in improving early diagnosis, personalized treatment strategies, and disease progression. By utilizing nationalized data, this study focuses on building and comparing high-performing analytical predictive models based on the relevant risk factors and identifying the most influential predictors.
Methods: We analyzed cross-sectional BRFSS Asthma Call-Back Survey data (2011-2020; N = 9,813) and randomly split participants into training and testing sets. An XGBoost model (hyperparameters tuned via grid …
Perturbations In Risk/Reward Decision Making And Frontal Cortical Catecholamine Regulation Induced By Mild Traumatic Brain Injury, Christopher P Knapp, Eleni Papadopoulos, Jessica A Loweth, Ramesh Raghupathi, Stan B Floresco, Barry D Waterhouse, Rachel L Navarra
Perturbations In Risk/Reward Decision Making And Frontal Cortical Catecholamine Regulation Induced By Mild Traumatic Brain Injury, Christopher P Knapp, Eleni Papadopoulos, Jessica A Loweth, Ramesh Raghupathi, Stan B Floresco, Barry D Waterhouse, Rachel L Navarra
Rowan-Virtua School of Osteopathic Medicine Departmental Research
Mild traumatic brain injury (mTBI) disrupts cognitive processes that influence risk taking behavior. Little is known regarding the effects of repetitive mild injury (rmTBI) or whether these outcomes are sex specific. Risk/reward decision making is mediated by the prefrontal cortex (PFC), which is densely innervated by catecholaminergic fibers. Aberrant PFC catecholamine activity has been documented following TBI and may underlie TBI-induced risky behavior. The present study characterized the effects of rmTBI on risk/reward decision making behavior and catecholamine transmitter regulatory proteins within the PFC. Rats were exposed to sham, single (smTBI), or three closed-head controlled cortical impact (CH-CCI) injuries and …
Invited Review: Adrenocortical Function In Avian And Non-Avian Reptiles: Insights From Dispersed Adrenocortical Cells., Rocco V. Carsia, Patrick J. Mcilroy, Henry B John-Alder
Invited Review: Adrenocortical Function In Avian And Non-Avian Reptiles: Insights From Dispersed Adrenocortical Cells., Rocco V. Carsia, Patrick J. Mcilroy, Henry B John-Alder
Rowan-Virtua School of Osteopathic Medicine Departmental Research
Herein we review our work involving dispersed adrenocortical cells from several lizard species: the Eastern Fence Lizard (Sceloporus undulatus), Yarrow's Spiny Lizard (Sceloporus jarrovii), Striped Plateau Lizard (Sceloporus virgatus) and the Yucatán Banded Gecko (Coleonyx elegans). Early work demonstrated changes in steroidogenic function of adrenocortical cells derived from adult S. undulatus associated with seasonal interactions with sex. However, new information suggests that both sexes operate within the same steroidogenic budget over season. The observed sex effect was further explored in orchiectomized and ovariectomized lizards, some supported with exogenous testosterone. Overall, a suppressive effect of testosterone was evident, especially in cells …
Mutations In Hcfc1 And Ronin Result In An Inborn Error Of Cobalamin Metabolism And Ribosomopathy, Tiffany Chern, Annita Achilleos, Xuefei Tong, Matthew C Hill, Alexander B Saltzman, Lucas C Reineke, Arindam Chaudhury, Swapan K Dasgupta, Yushi Redhead, David Watkins, Joel R Neilson, Perumal Thiagarajan, Jeremy B A Green, Anna Malovannaya, James F Martin, David S Rosenblatt, Ross A Poché
Mutations In Hcfc1 And Ronin Result In An Inborn Error Of Cobalamin Metabolism And Ribosomopathy, Tiffany Chern, Annita Achilleos, Xuefei Tong, Matthew C Hill, Alexander B Saltzman, Lucas C Reineke, Arindam Chaudhury, Swapan K Dasgupta, Yushi Redhead, David Watkins, Joel R Neilson, Perumal Thiagarajan, Jeremy B A Green, Anna Malovannaya, James F Martin, David S Rosenblatt, Ross A Poché
Faculty, Staff and Students Publications
Combined methylmalonic acidemia and homocystinuria (cblC) is the most common inborn error of intracellular cobalamin metabolism and due to mutations in Methylmalonic Aciduria type C and Homocystinuria (MMACHC). Recently, mutations in the transcriptional regulators HCFC1 and RONIN (THAP11) were shown to result in cellular phenocopies of cblC. Since HCFC1/RONIN jointly regulate MMACHC, patients with mutations in these factors suffer from reduced MMACHC expression and exhibit a cblC-like disease. However, additional de-regulated genes and the resulting pathophysiology is unknown. Therefore, we have generated mouse models of this disease. In addition to exhibiting loss of Mmachc, metabolic perturbations, and developmental defects previously …
Modeling The Effects Of Adverse Childhood Experiences Using A Mouse Model Of Neglect: Mechanisms Of Adiposity Expansion In Females, Jacqueline Leachman
Modeling The Effects Of Adverse Childhood Experiences Using A Mouse Model Of Neglect: Mechanisms Of Adiposity Expansion In Females, Jacqueline Leachman
Theses and Dissertations--Pharmacology and Nutritional Sciences
Adverse childhood experiences (ACEs) are an independent risk factor for chronic disease, including obesity and metabolic syndrome. We have previously shown that a mouse model of early life stress, maternal separation and early weaning (MSEW), exacerbates high-fat diet (HF)-induced obesity only in adult female mice. In agreement, the analysis of several cohorts of participants exposed to ACEs have shown that women are more susceptible to develop obesity than men. Therefore, the aim of this study was to investigate the link between early life stress and obesity in pre-clinical and clinical settings. Male and female MSEW mice fed 1 week a …
Orthogonal Decomposition Of Left Ventricular Remodeling In Myocardial Infarction, Xingyu Zhang, Pau Medrano-Gracia, Bharath Ambale-Venkatesh, David A. Bluemke, Brett R. Cowan, J. Paul Finn, Alan H. Kadish
Orthogonal Decomposition Of Left Ventricular Remodeling In Myocardial Infarction, Xingyu Zhang, Pau Medrano-Gracia, Bharath Ambale-Venkatesh, David A. Bluemke, Brett R. Cowan, J. Paul Finn, Alan H. Kadish
Office of the President Publications and Research
BACKGROUND: Left ventricular size and shape are important for quantifying cardiac remodeling in response to cardiovascular disease. Geometric remodeling indices have been shown to have prognostic value in predicting adverse events in the clinical literature, but these often describe interrelated shape changes. We developed a novel method for deriving orthogonal remodeling components directly from any (moderately independent) set of clinical remodeling indices.
RESULTS: Six clinical remodeling indices (end-diastolic volume index, sphericity, relative wall thickness, ejection fraction, apical conicity, and longitudinal shortening) were evaluated using cardiac magnetic resonance images of 300 patients with myocardial infarction, and 1991 asymptomatic subjects, obtained from …
The Cardiac Atlas Project--An Imaging Database For Computational Modeling And Statistical Atlases Of The Heart, Carissa G. Fonseca, Michael Backhaus, David A. Bluemke, Randall D. Britten, Jae Do Chung, Brett R. Cowan, Alan H. Kadish
The Cardiac Atlas Project--An Imaging Database For Computational Modeling And Statistical Atlases Of The Heart, Carissa G. Fonseca, Michael Backhaus, David A. Bluemke, Randall D. Britten, Jae Do Chung, Brett R. Cowan, Alan H. Kadish
Office of the President Publications and Research
MOTIVATION: Integrative mathematical and statistical models of cardiac anatomy and physiology can play a vital role in understanding cardiac disease phenotype and planning therapeutic strategies. However, the accuracy and predictive power of such models is dependent upon the breadth and depth of noninvasive imaging datasets. The Cardiac Atlas Project (CAP) has established a large-scale database of cardiac imaging examinations and associated clinical data in order to develop a shareable, web-accessible, structural and functional atlas of the normal and pathological heart for clinical, research and educational purposes. A goal of CAP is to facilitate collaborative statistical analysis of regional heart shape …