Brain age prediction via cross-stratified ensemble learning.

As an important biomarker of neural aging, the brain age reflects the integrity and health of the human brain. Accurate prediction of brain age could help to understand the underlying mechanism of neural aging. In this study, a cross-stratified ensemble learning algorithm with staking strategy was proposed to obtain brain age and the derived predicted age difference (PAD) using T1-weighted magnetic resonance imaging (MRI) data.

A comprehensive survey on deep active learning in medical image analysis.

Deep learning has achieved widespread success in medical image analysis, leading to an increasing demand for large-scale expert-annotated medical image datasets. Yet, the high cost of annotating medical images severely hampers the development of deep learning in this field. To reduce annotation costs, active learning aims to select the most informative samples for annotation and train high-performance models with as few labeled samples as possible.

Degradation of ofloxacin by potassium ferrate: kinetics and degradation pathways.

Drug residues, including various antibiotics, are being increasingly detected in aqueous environments. Ofloxacin (OFX) is one such antibiotic that is widely used in the treatment of several bacterial infections; however, chronic exposure to this antibiotic can have adverse impacts on human health. Hence, the identification of an effective OFX degradation method is essential.

A histone methylation network regulates transgenerational epigenetic memory in C. elegans.

How epigenetic information is transmitted from generation to generation remains largely unknown. Deletion of the C. elegans histone H3 lysine 4 dimethyl (H3K4me2) demethylase spr-5 leads to inherited accumulation of the euchromatic H3K4me2 mark and progressive decline in fertility.