Modern omics technologies can generate massive amounts of biomedical data, providing
unprecedented opportunities for individualized precision medicine. However, traditional …

Abstract Machine learning (ML) and three-dimensional (3D) printing are among the fastest-
growing branches of science. While ML can enable computers to independently learn from …

Abstract Purpose of Review To critically appraise literature on recent advances and methods
using “big data” to evaluate stroke outcomes and associated factors. Recent Findings …

Importance Home time, defined as time spent at home after hospital discharge, is emerging
as a novel, patient-oriented outcome in stroke recovery and end-of-life care. Longer home …

Abstract California Bearing Ratio (CBR) is an essential parameter utilized to evaluate the
strength of the soil subgrades and base course materials of different types of pavements. In …

Cardiovascular diseases are major causes of death in the western world and this incidence
increases in the elderly population. With aging, there are physiologic changes to the cardiac …

Abstract The Balangu (Lallemantia iberica) species have a high gastronomical impact in the
Middle East and Balkan region. It is widely used in the local food industry, such as …

COVID-19 has majorly impacted the world and has spread to every corner of the world. As a
result, the tourism industry suffered greatly with many tourist sites having to close. Previous …

Introduction Machine learning presents a unique opportunity to improve electronic cigarette
(vaping) monitoring in youth. Here we built a random forest model to predict frequent vaping …

Objective To develop and validate a measure of provider network restrictiveness in the
Medicare Advantage (MA) population. Data Sources Prescription drug event data and …