Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Shelly Teng"'
Autor:
Hongfei Ji, Anthony D Fouad, Shelly Teng, Alice Liu, Pilar Alvarez-Illera, Bowen Yao, Zihao Li, Christopher Fang-Yen
Publikováno v:
eLife, Vol 10 (2021)
Neural circuits coordinate with muscles and sensory feedback to generate motor behaviors appropriate to an animal’s environment. In C. elegans, the mechanisms by which the motor circuit generates undulations and modulates them based on the environm
Externí odkaz:
https://doaj.org/article/e0c7a0c65bd64110b80db7a5d413f407
Autor:
Christina D. Kang-Yi, Brian Chao, Shelly Teng, Jill Locke, David S. Mandell, Yin-Ling Irene Wong, C. Neill Epperson
Publikováno v:
Frontiers in Psychiatry, Vol 11 (2020)
ObjectiveOur study aimed to examine psychiatric diagnoses and treatment preceding a schizophrenia diagnosis in adolescents, stratified by sex and race/ethnicity.MethodsUsing Medicaid physical and behavioral health and pharmacy claims data, we identif
Externí odkaz:
https://doaj.org/article/a3d8bf4769284398966e17b326070211
Autor:
Anthony D. Fouad, Shelley H. Pu, Shelly Teng, Julian R. Mark, Moyu Fu, Kevin Zhang, Jonathan Huang, David M. Raizen, Christopher Fang-Yen
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 7, Iss 6, Pp 1811-1818 (2017)
The roundworm Caenorhabditis elegans is widely used as a model for studying conserved pathways for fat storage, aging, and metabolism. The most broadly used methods for imaging fat in C. elegans require fixing and staining the animal. Here, we show t
Externí odkaz:
https://doaj.org/article/cfba65525ce64ee2b7151d700473ff7f
Autor:
Anthony D Fouad, Shelly Teng, Julian R Mark, Alice Liu, Pilar Alvarez-Illera, Hongfei Ji, Angelica Du, Priya D Bhirgoo, Eli Cornblath, Sihui Asuka Guan, Christopher Fang-Yen
Publikováno v:
eLife, Vol 7 (2018)
Coordinated rhythmic movements are ubiquitous in animal behavior. In many organisms, chains of neural oscillators underlie the generation of these rhythms. In C. elegans, locomotor wave generation has been poorly understood; in particular, it is uncl
Externí odkaz:
https://doaj.org/article/d0c7edb7d20d456581893b5e541dec62
Autor:
Anthony D. Fouad, Bowen Yao, Pilar Alvarez-Illera, Hongfei Ji, Alice Liu, Zihao Li, Christopher Fang-Yen, Shelly Teng
Publikováno v:
eLife
eLife, Vol 10 (2021)
eLife, Vol 10 (2021)
Neural circuits work together with muscles and sensory feedback to generate motor behaviors appropriate to an animal9s environment. In C. elegans, forward locomotion consists of dorsoventral undulations that propagate from anterior to posterior. How
Autor:
Hossein Honarvar, Adam Russak, Jessica K De Freitas, Robert Freeman, Edgar Argulian, Isotta Landi, Suraj K. Jaladanki, Shelly Teng, Arvind Kumar, Yeraz Khachatoorian, Sukrit Narula, Shan P Zhao, Arsalan Rehmani, Shawn Lee, Sulaiman S Somani, Alexander C Kagen, Benjamin S. Glicksberg, Andrew Kim, Matthew A. Levin, Girish N. Nadkarni
Publikováno v:
European heart journal. Digital health. 3(1)
Aims Clinical scoring systems for pulmonary embolism (PE) screening have low specificity and contribute to computed tomography pulmonary angiogram (CTPA) overuse. We assessed whether deep learning models using an existing and routinely collected data
Autor:
Shan Zhao, Shelly Teng, Sulaiman Somani, Stephen Yoffie, Shreyas Havaldar, Girish N. Nadkarni, Benjamin S. Glicksberg
Publikováno v:
JAMIA Open
Objectives Classifying hospital admissions into various acute myocardial infarction phenotypes in electronic health records (EHRs) is a challenging task with strong research implications that remains unsolved. To our knowledge, this study is the firs
Publikováno v:
Human Factors
Objective: To explore cognitive strategies clinicians apply while performing a medication reconciliation task, handling incomplete and conflicting information. Background: Medication reconciliation is a method clinicians apply to find and resolve inc
Autor:
Girish N. Nadkarni, Isotta Landi, Benjamin S. Glicksberg, Sukrit Narula, Hossein Honarvar, Edgar Argulian, Arvind Kumar, Robert Freeman, Yeraz Khachatoorian, Shan P. Zhao, Arsalan Rehmani, Sulaiman S. Somani, Shawn Lee, Alexander C. Kagen, Adam Russak, Suraj Jaladanki, Andrew Kim, Shelly Teng, Matthew A. Levin, Jessica K. De Freitas
Publikováno v:
SSRN Electronic Journal.
Background: Clinical scoring systems for pulmonary embolism (PE) screening have low specificity and contribute to CT pulmonary angiogram (CTPA) overuse. We assessed whether deep learning models using an existing and routinely collected data modality,