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Journal Article
Molecular Pharmacology, ISSN 0026-895X, 01/2011, Volume 80, Issue 6, pp. 1013 - 1032
Although alpha 7 nicotinic acetylcholine receptors are considered potentially important therapeutic targets, the development of selective agonists has been... 
Journal Article
Biochemical Pharmacology, ISSN 0006-2952, 2011, Volume 82, Issue 8, pp. 1031 - 1031
Journal Article
Journal of General Physiology, ISSN 0022-1295, 01/2011, Volume 137, Issue 4, pp. 369 - 384
We have identified a means by which agonist-evoked responses of nicotinic receptors can be conditionally eliminated. Modification of alpha 7L119C mutants by... 
Fetuses | Acetylcholine receptors (nicotinic) | Acetylcholine | Mutation | Oocytes
Journal Article
The Journal of General Physiology, ISSN 0022-1295, 04/2011, Volume 137, Issue 4, p. 369
We have identified a means by which agonist-evoked responses of nicotinic receptors can be conditionally eliminated. Modification of α7L119C mutants by the... 
Proteins | Membranes | Physiology | Mutation | Gene expression | Binding sites
Journal Article
Journal of Shoulder and Elbow Surgery, ISSN 1058-2746, 2016, Volume 25, Issue 1, pp. 142 - 148
Journal Article
Circulation, ISSN 0009-7322, 11/2018, Volume 138, Issue Suppl_1 Suppl 1, pp. A12513 - A12513
IntroductionThe Seattle Heart Failure Model (SHFM) is a validated, widely-used risk model to predict survival in patients with heart failure (HF). The SHFM was... 
Journal Article
JACC: Cardiovascular Imaging, ISSN 1936-878X, 04/2019, Volume 12, Issue 4, pp. 681 - 689
The goal of this study was to use machine learning to more accurately predict survival after echocardiography. Predicting patient outcomes (e.g., survival)... 
mortality | electronic health records | machine learning | echocardiography
Journal Article
JACC: Cardiovascular Imaging, ISSN 1936-878X, 04/2019, Volume 12, Issue 4, pp. 681 - 689
Objectives: The goal of this study was to use machine learning to more accurately predict survival after echocardiography. Background: Predicting patient... 
mortality | electronic health records | machine learning | echocardiography | REGRESSION | CARDIAC & CARDIOVASCULAR SYSTEMS | SEATTLE HEART-FAILURE | MODEL | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Usage | Echocardiography | Machine learning | Electronic records
Journal Article