Results 151 to 160 of about 1,174,473 (308)

Epidemiology and risk factors for asthma [PDF]

Respiratory Medicine, 2019
Merin E. Kuruvilla, Kristine Vanijcharoenkarn, Jennifer A. Shih, Frances Eun-Hyung Lee   +3 more
openaire   +2 more sources

Health Care Use Among Patients Presenting to Emergency Department for Gout Flares in Ontario, Canada: A Population‐based Health Systems Analysis

Arthritis Care &Research, Accepted Article.
Objective We characterized emergency department (ED) gout visits and identified patient characteristics and health services patterns contributing to ED presentations. Methods We conducted a population‐based study of ED gout visits in Ontario, Canada between 2014 and 2023.
Timothy S.H. Kwok, Samantha Morais, William K. Silverstein, Clare L. Atzema, Gregory Choy, Priyanka Chandratre, Ping Li, Jessica Widdifield   +7 more
wiley   +1 more source

Perinatal Epidemiological Risk Factors for Preeclampsia

Acta Clinica Croatica, 2015
In the present study, the impact of the potential perinatal epidemiological factors on preeclampsia development was assessed. This clinical study included 55 pregnant women with preeclampsia and control group of 50 healthy pregnant women. Positive family
Mirna Vuković Bobić, Dubravko Habek, Jasna Čerkez Habek   +2 more
doaj  

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Vaccine Coverage in Children Younger Than 1 Year of Age during Periods of High Epidemiological Risk: Are We Preparing for New Outbreaks? [PDF]

Children (Basel), 2022
Herdea V, Ghionaru R, Lungu CN, Leibovitz E, Diaconescu S.   +4 more
europepmc   +1 more source

Zinc Exposure Causes Disulfidptosis to Induce Miscarriage by Up‐Regulating GATA1/METTL1/SLC7A11 Axis

Advanced Science, EarlyView.
Zn exposure up‐regulates GATA1, promoting GATA1‐mediated METTL1 and SLC7A11 transcription. It also enhances METTL1‐mediated m7G modification on SLC7A11 mRNA, increasing SLC7A11 mRNA stability. Ultimately, Zn exposure up‐regulates SLC7A11 at both transcriptional and post‐transcriptional levels, causing disulfidptosis. Knockdown of murine Slc7a11, Gata1,
Wenxin Huang, Yi Sun, Yanxin Wang, Haijun Yan, Xiaoping Yue, Weidong Wu, Xueyu Chen, Jinfang Zhang, Yanbing Lin, Qiong Lei, Nan Ji, Shuaishuai Xing, Liqin Zeng, Qingzheng Kang, Depeng Zhao, Geng Guo, Huidong Zhang   +16 more
wiley   +1 more source

Epidemiological Risk Factors for Acquiring Severe COVID-19: Prospective Cohort Study. [PDF]

Oman Med J, 2021
Al Awaidy ST, Khamis F, Mahomed O, Wesonga R, Al Shuabi M, Al Shabibi NS, Al Dhahli DS, Al Noumani J, Alhadidi AM, Al Wahebi M.   +9 more
europepmc   +1 more source

Paving the Way to Elucidate Hg's Role in Tumorigenesis

Advanced Science, EarlyView.
Tumorigenesis can result from diverse environmental carcinogens. Among them, mercury—a lifelong bioaccumulative Group 2B carcinogen—has tumorigenic potential that remains poorly understood due to confounding co‐exposures and limited organ‐specific data.
Shouying Li, Rong Zhong, Zhenyang Yu, Hualing Fu, Jin Chen, Jia Wei, Ningwei Zhao, Le Qu, Tiantian Li, Wenli Tang, Huan Zhong   +10 more
wiley   +1 more source

Molecular detection and assessment of the epidemiological risk factors associated with equine herpesvirus 2 and 5 in working equids in central Ethiopia. [PDF]

Vet Med Sci, 2022
Wondimagegnehu K, Leta S, Amenu K, Negussie H.   +3 more
europepmc   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source