Due to the proliferation of biomedical imaging modalities, such as Photoacoustic
Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc …

Due to the massive data sets available for drug candidates, modern drug discovery has
advanced to the big data era. Central to this shift is the development of artificial intelligence …

Background Both balanced crystalloids and saline are used for intravenous fluid
administration in critically ill adults, but it is not known which results in better clinical …

The purpose of this study was to assess the feasibility of machine learning (ML) in predicting
the risk of end-stage kidney disease (ESKD) from patients with chronic kidney disease …

Multivariate time series with missing values are common in areas such as healthcare and
finance, and have grown in number and complexity over the years. This raises the question …

Background Chronic rhinosinusitis with nasal polyps (CRSwNP) is associated with
significant morbidity and reduced health‐related quality of life. Findings from clinical trials …

Online food delivery services like Just Eat and Grubhub facilitate online ordering and home
delivery of food prepared away-from-home. It is poorly understood how these services are …

International Journal of Epidemiology, 2022, e324–e336 https://doi. org/10.1093/ije/dyac068
Advance Access Publication Date: 13 April 2022 Data Resource Profile people, of whom …

Clinical prediction rules (CPRs) that predict the absolute risk of a clinical condition or future
outcome for individual patients are abundant in the medical literature; however, systematic …

Objectives We assessed peri‐implantitis prevalence, incidence rate, and associated risk
factors by analyzing electronic oral health records (EHRs) in an educational institution …