ABSTRACT: This study aimed to assess the dietary intake of Brazilian older adults based on their level of food insecurity (FI). A cross-sectional analysis was conducted using secondary data from the ...

Drs. Jeanette Johnson, Elana J. Fertig, and Daniel Bergman review mathematical models and genomic data to simulate cancer cell growth. [University of Maryland School of Medicine] Researchers at ...

Statistical methods are employed in medical research to estimate effects of treatments or health conditions across populations.1 2 This paper presents a framework to avoid common misinterpretations ...

The selected hypotheses included using single-cell RNA sequencing to understand cellular heterogeneity, integrating artificial intelligence with genetic profiles for personalized cardiotoxicity risk ...

A Texas private school is seeing student test scores soar to new heights following the implementation of an artificial intelligence (AI) "tutor." At Alpha School in Austin, Texas, students are placed ...

Abstract: Two-sample hypothesis testing is a common practice in many fields of science, where the goal is to identify whether a set of observations and a set of training data are drawn from the same ...

Drug discovery scientists develop and test complex hypotheses using data and expertise, and build workflows to support this. In this third and final article, Dr Raminderpal Singh and Nina Truter ...

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...

Laboratory-based design verification testing (DVT) of combination products and medical devices must be performed to demonstrate that the device meets the performance requirements that were set in the ...

Communication of cancer biomarker testing results: What patients need. Use of molecular residual disease (MRD) testing with measurement of circulating tumor DNA (ctDNA) post-operatively in stage II ...