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Human exposure pathways to poly- and perfluoroalkyl substances (PFAS) from indoor media: A systematic review protocol.
In Environment international
BACKGROUND :
OBJECTIVES :
DATA SOURCES :
STUDY ELIGIBILITY AND CRITERIA :
STUDY APPRAISAL AND SYNTHESIS METHODS :
DeLuca Nicole M, Angrish Michelle, Wilkins Amina, Thayer Kris, Cohen Hubal Elaine A
2021-Jan
Exposure pathways, Human exposure, Indoor, PFAS, Systematic review
Artificial Intelligence Model of Drive-Through Vaccination Simulation.
In International journal of environmental research and public health ; h5-index 73.0
Asgary Ali, Valtchev Svetozar Zarko, Chen Michael, Najafabadi Mahdi M, Wu Jianhong
2020-12-31
COVID-19 pandemic, artificial intelligence, discrete event simulation, drive-through, mass vaccination

Screening For Bone Marrow Cellularity Changes in Cynomolgus Macaques in Toxicology Safety Studies Using Artificial Intelligence Models.
In Toxicologic pathology
Smith Mark A, Westerling-Bui Thomas, Wilcox Angela, Schwartz Julie
2021-Jan-05
artificial intelligence, bone marrow, cellularity, deep learning, digital pathology, image analysis, machine learning, whole slide imaging

Toward Decoding the Relationship between Domain Structure and Functionality in Ferroelectrics via Hidden Latent Variables.
In ACS applied materials & interfaces ; h5-index 147.0
Kalinin Sergei V, Kelley Kyle, Vasudevan Rama K, Ziatdinov Maxim
2021-Jan-13
ferroelectrics, latent space, machine learning, neural networks, scanning probe microscopy

Evaluating the Effect of Topical Atropine Use for Myopia Control on Intraocular Pressure by Using Machine Learning.
In Journal of clinical medicine
Wu Tzu-En, Chen Hsin-An, Jhou Mao-Jhen, Chen Yen-Ning, Chang Ting-Jen, Lu Chi-Jie
2020-Dec-30
abbreviations and acronyms, intraocular pressure (IOP), machine learning, myopia, topical atropine

Increasing the Density of Laboratory Measures for Machine Learning Applications.
In Journal of clinical medicine
BACKGROUND :
METHOD :
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CONCLUSIONS :
Abedi Vida, Li Jiang, Shivakumar Manu K, Avula Venkatesh, Chaudhary Durgesh P, Shellenberger Matthew J, Khara Harshit S, Zhang Yanfei, Lee Ming Ta Michael, Wolk Donna M, Yeasin Mohammed, Hontecillas Raquel, Bassaganya-Riera Josep, Zand Ramin
2020-Dec-30
C. difficile infection, EHR, complex diseases, electronic health records, imputation, inflammatory bowel disease, laboratory measures, machine learning, medical informatics, osteoarthritis
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