Background Machine learning (ML) has made a significant impact in medicine and cancer
research; however, its impact in these areas has been undeniably slower and more limited …

The brain’s extracellular matrix (ECM) is a macromolecular network composed of
glycosaminoglycans, proteoglycans, glycoproteins, and fibrous proteins. In vitro studies often use …

Three-dimensional (3D) in vitro models have become increasingly popular as systems to
study cell–cell and cell–ECM interactions dependent on the spatial, mechanical, and chemical …

Brain-on-a-chip systems are designed to simulate brain activity using traditional in vitro cell
culture on an engineered platform. It is a noninvasive tool to screen new drugs, evaluate …

… Ana Paula Sales … A p value of <0.05 was considered significant. All error bars indicate
standard error of the mean (SEM). … Belle, Ana Paula Sales & Elizabeth K. Wheeler …

The widespread adoption of electronic medical records (EMRs) in healthcare has provided
vast new amounts of data for statistical machine learning researchers in their efforts to model …

… e p ⋮ X p = a p 1 × F 1 + a p 1 × F 2 + ⋯ + a p m × F m + e p where X p is the pth score of the
standardized variable (p = 1, 2, …, m), F m is the extracted factor, a p m is the factor loading, …

Although vertical transmission of CHIKV has been reported, little is known about the role of
placenta in the transmission of this virus and the effects of infection on the maternal-fetal …

The objective of this study was to characterize the profile of the lamb consumer in the Brazilian
semi-arid region using a machine learning approach. A total of 347 questionnaires with …

Zika virus (ZIKV) is an emergent arthropod-borne virus whose outbreak in Brazil has brought
major public health problems. Infected individuals have different symptoms, including rash …