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Studying cut-resistant socks for hockey players

The authors tested the impact of various additives on biopolymer degradation.

The authors looked the ability of sound sensors to predict clogged pipes when the sound intensity data is run through a machine learning algorithm.

The authors looked at genes and pathways that are enriched in glioblastoma multiforme.

The authors looked at genes that were differentially expressed in patients who had and had not had febrile seizures to determine what differences in gene expression existed.

The authors combine fine needle aspiration biopsy and machine learning algorithms to develop a breast cancer detection method suitable for resource-constrained regions that lack access to mammograms.

The authors looked at different factors, such as age, pre-existing conditions, and geographic region, and their ability to predict what an individual's health insurance premium would be.

The authors computationally screened potential ALDH1 inhibitors, for use as potential cancer therapeutics.

The authors used Monte Carlo simulations to assess the impacts of various factors on neonatal seizure risk.

This paper investigates the potential anticancer properties of Uvularia perfoliata by testing its effects on the viability of uveal melanoma cells.