Search Results - "Stultz, Collin M."
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Machine Learning Improves Risk Stratification After Acute Coronary Syndrome
Published in Scientific reports (04-10-2017)“…The accurate assessment of a patient’s risk of adverse events remains a mainstay of clinical care. Commonly used risk metrics have been based on logistic…”
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Molecular Basis for Specific Regulation of Neuronal Kinesin-3 Motors by Doublecortin Family Proteins
Published in Molecular cell (14-09-2012)“…Doublecortin (Dcx) defines a growing family of microtubule (MT)-associated proteins (MAPs) involved in neuronal migration and process outgrowth. We show that…”
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3
Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling
Published in PLoS computational biology (01-02-2022)“…Supervised machine learning applications in health care are often limited due to a scarcity of labeled training data. To mitigate the effect of small sample…”
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4
A Structure-free Method for Quantifying Conformational Flexibility in proteins
Published in Scientific reports (30-06-2016)“…All proteins sample a range of conformations at physiologic temperatures and this inherent flexibility enables them to carry out their prescribed functions. A…”
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5
ECG-guided non-invasive estimation of pulmonary congestion in patients with heart failure
Published in Scientific reports (09-03-2023)“…Quantifying hemodynamic severity in patients with heart failure (HF) is an integral part of clinical care. A key indicator of hemodynamic severity is the mean…”
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6
Detecting QT prolongation from a single-lead ECG with deep learning
Published in PLOS digital health (01-06-2024)“…For a number of antiarrhythmics, drug loading requires a 3-day hospitalization with continuous monitoring for QT-prolongation. Automated QT monitoring with…”
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7
Comparative Studies of Disordered Proteins with Similar Sequences: Application to Aβ40 and Aβ42
Published in Biophysical journal (02-04-2013)“…Quantitative comparisons of intrinsically disordered proteins (IDPs) with similar sequences, such as mutant forms of the same protein, may provide insights…”
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Using Intramolecular Disulfide Bonds in Tau Protein to Deduce Structural Features of Aggregation-resistant Conformations
Published in The Journal of biological chemistry (16-03-2012)“…Because tau aggregation likely plays a role in a number of neurodegenerative diseases, understanding the processes that affect tau aggregation is of…”
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9
Intrinsically Disordered Proteins: Where Computation Meets Experiment
Published in Polymers (01-10-2014)“…Proteins are heteropolymers that play important roles in virtually every biological reaction. While many proteins have well-defined three-dimensional…”
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Beatquency domain and machine learning improve prediction of cardiovascular death after acute coronary syndrome
Published in Scientific reports (06-10-2016)“…Frequency domain measures of heart rate variability (HRV) are associated with adverse events after a myocardial infarction. However, patterns in the…”
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11
What is AI and why should I care?
Published in Heart rhythm (01-10-2024)Get full text
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12
DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics
Published in Frontiers in cardiovascular medicine (03-09-2021)“…Myocardial strain analysis from cinematic magnetic resonance imaging (cine-MRI) data provides a more thorough characterization of cardiac mechanics than…”
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13
Perturbing the folding energy landscape of the bacterial immunity protein Im7 by site-specific N-linked glycosylation
Published in Proceedings of the National Academy of Sciences - PNAS (28-12-2010)“…N-linked glycosylation modulates protein folding and stability through a variety of mechanisms. As such there is considerable interest in the development of…”
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14
Predicting outcomes in patients with aortic stenosis using machine learning: the Aortic Stenosis Risk (ASteRisk) score
Published in Open heart (01-05-2022)“…ObjectiveTo use echocardiographic and clinical features to develop an explainable clinical risk prediction model in patients with aortic stenosis (AS),…”
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15
Cleavage Site Specificity and Conformational Selection in Type I Collagen Degradation
Published in Biochemistry (Easton) (18-05-2010)“…Excessive degradation of type I collagen is associated with a variety of human diseases such as arthritis, tumor metastasis, and atherosclerosis. Methods that…”
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Identifying unreliable predictions in clinical risk models
Published in NPJ digital medicine (23-01-2020)“…The ability to identify patients who are likely to have an adverse outcome is an essential component of good clinical care. Therefore, predictive risk…”
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Mechanism of Amyloid‑β Fibril Elongation
Published in Biochemistry (Easton) (11-11-2014)“…Amyloid-β is an intrinsically disordered protein that forms fibrils in the brains of patients with Alzheimer’s disease. To explore factors that affect the…”
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18
Fibronectin unfolding revisited: modeling cell traction-mediated unfolding of the tenth type-III repeat
Published in PloS one (11-06-2008)“…Fibronectin polymerization is essential for the development and repair of the extracellular matrix. Consequently, deciphering the mechanism of fibronectin…”
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Constructing ensembles for intrinsically disordered proteins
Published in Current opinion in structural biology (01-06-2011)“…► We critically discuss methods for modeling intrinsically disordered proteins. ► Both the advantages and limitations of existing methods are analyzed. ► We…”
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Localized Unfolding of Collagen Explains Collagenase Cleavage Near Imino-poor Sites
Published in Journal of molecular biology (21-06-2002)“…Collagenases cleave all three chains of type III collagen at specific sites characterized by a Gly–Leu or a Gly–Ile bond that is upstream from an imino…”
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