Genome-wide association study on color-image-based convolutional neural networks.

Background: Convolutional neural networks have excellent modeling abilities to complex large-scale datasets and have been applied to genomics. It requires converting genotype data to image format when employing convolutional neural networks to genome-wide association studies. Existing studies converting the data into grayscale images have shown promising.

Efficacy of double filtration plasmapheresis combined with immunosuppressive agents in the treatment of severe lupus nephritis.

Objective: To evaluate the efficacy of double filtration plasmapheresis combined with immunosuppressive agents in the treatment of severe lupus nephritis.

Method: A retrospective analysis was conducted on the medical records of 102 cases of severe lupus nephritis treated between January 2021 and December 2022 in the General Practice Department at the Affiliated Hospital of North Sichuan Medical College. Patients who received immunosuppressive agents were included in the control group and those who received additional double filtration plasmapheresis were included in the observation group.

Identification and quantitative trait locus mapping of Tartary buckwheat pre-harvest sprouting.

Background: Tartary buckwheat (Fagopyrum tartaricum) is particularly vulnerable to pre-harvest sprouting (PHS) due to its extended flowering and fruiting cycle, especially during periods of prolonged rainfall. This susceptibility has significant adverse effects on yield, quality and post-harvest processing. In this study, a recombinant inbred lines (RILs) population (XJ-RILs) was developed from a cross between the PHS-susceptible Tartary buckwheat variety 'Xiaomiqiao' (female parent) and the highly PHS-resistant variety 'Jinqiaomai 2' (male parent).

Identification of novel phenolic inhibitors from traditional Chinese medicine against toxic α-synuclein aggregation via regulating phase separation.

Parkinson's disease (PD), a neurodegenerative disorder without cure, is characterized by the pathological aggregation of α-synuclein (α-Syn) in Lewy bodies. Classic deposition pathway and condensation pathway contribute to α-Syn aggregation, and liquid-liquid phase separation is the driving force for condensate formation, which subsequently undergo liquid-solid phase separation to form toxic fibrils. Traditional Chinese Medicine (TCM) has a long history in treating neurodegenerative disease, herein; we identified chemicals from herbs that inhibit α-Syn aggregation.

A Novel Preoperative Scoring System to Accurately Predict Cord-Level Intraoperative Neuromonitoring Data Loss During Spinal Deformity Surgery: A Machine-Learning Approach.

Background: An accurate knowledge of a patient's risk of cord-level intraoperative neuromonitoring (IONM) data loss is important for an informed decision-making process prior to deformity correction, but no prediction tool currently exists.

Methods: A total of 1,106 patients with spinal deformity and 205 perioperative variables were included. A stepwise machine-learning (ML) approach using random forest (RF) analysis and multivariable logistic regression was performed.