Blockchain in Health Information Systems: A Systematic Review.

(1) Background: With the increasing digitalization of healthcare systems, data security and privacy have become crucial issues. In parallel, blockchain technology has gradually proven to be an innovative solution to address this challenge, as its ability to provide an immutable and secure record of transactions offers significant promise for healthcare information management. This systematic review aims to explore the applications of blockchain in health information systems, highlighting its advantages and challenges.

Metformin use and preeclampsia risk in women with diabetes: a two-country cohort analysis.

Background: Metformin is a hypoglycaemic medication that has been proposed to treat or prevent preeclampsia. Combining national birth data from Scotland and Sweden, we investigated whether metformin used during pregnancy was associated with an altered risk of developing a hypertensive disorder of pregnancy.

Methods: We utilised data from two population-based cohorts: Scotland (2012-2018) and Sweden (2007-2019).

Heterozygous loss of Engrailed-1 and α-synucleinopathy (En1/SYN): A dual-hit preclinical mouse model of Parkinson's disease, analyzed with artificial intelligence.

In this study, we develop and validate a new Parkinson's disease (PD) mouse model that can be used to better understand how the disease progresses and to test the effects of new, potentially disease-modifying, PD therapies. Our central hypothesis is that mitochondrial dysfunction intercalates with misfolded α-synuclein (α-syn) accumulation in a vicious cycle, leading to the loss of nigral neurons. Our hypothesis builds on the concept that PD involves multiple molecular insults, including mitochondrial dysfunction and aberrant α-syn handling.