Predicting the therapeutic efficacy of uterine artery embolization for adenomyosis using a combined model based on MRI radiomics and clinical characteristics.

Objective: Prediction of the therapeutic efficacy of uterine artery embolization (UAE) for adenomyosis (AM) using an MRI-based radiomics model combined with clinical characteristics.

Methods: A retrospective analysis was conducted on 126 patients with AM who underwent UAE at the Interventional Radiology Department of the Second Affiliated Hospital of Soochow University. Radiomics features were extracted from uterine lesions using axial T-weighted imaging with fat suppression (TWI-FS) sequences obtained prior to treatment.

Iron-catalyzed aliphatic C-H functionalization to construct carbon-carbon bonds.

Although cytochrome P450 enzymes are powerful catalysts for hydrogen-atom abstraction from alkanes by iron-oxo species, the process typically leads to oxygenated products due to ultrafast oxygen rebound. Developing synthetic catalysts that mimic this activity while avoiding oxygenation remains challenging, especially for intermolecular carbon-carbon bond formation. Here, we report an iron/bioinspired ligand catalyst that uses hydrogen peroxide to enable undirected methylene C-H functionalization with 1,4-quinones and azines, allowing direct formation of medicinally relevant C-C bonds while suppressing oxygen rebound.

Estimating ancient biogeographic patterns with statistical model discrimination.

The geographic ranges in which species live is a function of many factors underlying ecological and evolutionary contingencies. Observing the geographic range of an individual species provides valuable information about these historical contingencies for a lineage, determining the distribution of many distantly related species in tandem provides information about large-scale constraints on evolutionary and ecological processes generally. We present a linear regression method that allows for the discrimination of various hypothetical biogeographical models for determining which landscape distributional pattern best matches data from the fossil record.

CAPITAL: Optimal subgroup identification via constrained policy tree search.

Personalized medicine, a paradigm of medicine tailored to a patient's characteristics, is an increasingly attractive field in health care. An important goal of personalized medicine is to identify a subgroup of patients, based on baseline covariates, that benefits more from the targeted treatment than other comparative treatments. Most of the current subgroup identification methods only focus on obtaining a subgroup with an enhanced treatment effect without paying attention to subgroup size.

Iron-catalyzed arene C-H hydroxylation.

The sustainable, undirected, and selective catalytic hydroxylation of arenes remains an ongoing research challenge because of the relative inertness of aryl carbon-hydrogen bonds, the higher reactivity of the phenolic products leading to over-oxidized by-products, and the frequently insufficient regioselectivity. We report that iron coordinated by a bioinspired l-cystine–derived ligand can catalyze undirected arene carbon-hydrogen hydroxylation with hydrogen peroxide as the terminal oxidant. The reaction is distinguished by its broad substrate scope, excellent selectivity, and good yields, and it showcases compatibility with oxidation-sensitive functional groups, such as alcohols, polyphenols, aldehydes, and even a boronic acid.

A threshold-free summary index of prediction accuracy for censored time to event data.

Prediction performance of a risk scoring system needs to be carefully assessed before its adoption in clinical practice. Clinical preventive care often uses risk scores to screen asymptomatic population. The primary clinical interest is to predict the risk of having an event by a prespecified future time t .