This article explores a proposed deep-learning-based algorithm called DeepFilter for improving peptide identifications from a collection of tandem mass spectra. The authors find that DeepFilter is believed to generalize properly to new, previously unseen peptide-spectrum-matches and can be readily applied in peptide identification from metaproteomics data.

Data management plan for the grant, "New approach for identification pHFO networks to predict epilleptogenesis." About 40% of epilepsy patients fail to control seizures after treatment, and currently there is no treatment that can prevent epilepsy. The goal of this study is to perform multi-scale electrophysiological investigations combine with advanced computational algorithm development to understand the characteristics of the pathological brain networks during the latent period of epilepsy. The findings of this project will lead to a better understanding of the network mechanisms of epileptogenesis and suggest novel approaches to prevent the process of epileptogenesis.

Article describes how stem cell therapy holds immense potential for regenerative medicine, but its applications are limited due to the loss of pluripotency during in vitro expansion. This study reveals that the arrangement of electrospun fibers aligns with the distribution and strength of the electric field through both experimentation and simulation.

Article introducing a special issue discussing the link between the metabolic syndrome and the development and progression of cancer. The role of inflammation in these diseases and identification of new therapeutic targets are of great significance. This special issue contributes original research papers and review articles that motivate the continuous efforts to comprehend the mechanisms, production, and management related to cancers associated with the metabolic syndrome.

Article discusses the role of Mg2+ in regulating vascular functions.