Sexual function in women with polycystic ovary syndrome: a systematic review and meta-analysis.

Background: Polycystic ovary syndrome (PCOS) is a common and distressing endocrine disorder associated with lower quality of life, subfertility, diabetes, cardiovascular disease, depression, anxiety, and eating disorders. PCOS characteristics, its comorbidities, and its treatment can potentially influence sexual function. However, studies on sexual function in women with PCOS are limited and contradictory.

Sequence-based prediction of the intrinsic solubility of peptides containing non-natural amino acids.

Non-natural amino acids are increasingly used as building blocks in the development of peptide-based drugs as they expand the available chemical space to tailor function, half-life and other key properties. However, while the chemical space of modified amino acids (mAAs) such as residues containing post-translational modifications (PTMs) is potentially vast, experimental methods for measuring the developability properties of mAA-containing peptides are expensive and time consuming. To facilitate developability programs through computational methods, we present CamSol-PTM, a method that enables the fast and reliable sequence-based prediction of the intrinsic solubility of mAA-containing peptides in aqueous solution at room temperature.

Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records.

Background: Acute Kidney Injury (AKI) is a multifactorial condition which presents a substantial burden to healthcare systems. There is limited evidence on whether it is seasonal. We sought to investigate the seasonality of AKI hospitalisations in England and use unsupervised machine learning to explore clustering of underlying comorbidities, to gain insights for future intervention.