Biologically inspired heterogeneous learning for accurate, efficient and low-latency neural network.

The pursuit of artificial neural networks that mirror the accuracy, efficiency and low latency of biological neural networks remains a cornerstone of artificial intelligence (AI) research. Here, we incorporated recent neuroscientific findings of self-inhibiting autapse and neuron heterogeneity for innovating a spiking neural network (SNN) with enhanced learning and memorizing capacities. A bi-level programming paradigm was formulated to respectively learn neuron-level biophysical variables and network-level synapse weights for nested heterogeneous learning.

Tissue characterization at an enhanced resolution across spatial omics platforms with deep generative model.

Recent advances in spatial omics have expanded the spectrum of profiled molecular categories beyond transcriptomics. However, many of these technologies are constrained by limited spatial resolution, hindering our ability to deeply characterize intricate tissue architectures. Existing computational methods primarily focus on the resolution enhancement of transcriptomics data, lacking the adaptability to address the emerging spatial omics technologies that profile various omics types.

Mutation of miR-21 targets endogenous lipoprotein receptor-related protein 6 and nonalcoholic fatty liver disease.

Nonalcoholic fatty liver disease (NAFLD) is a chronic disorder characterized by hepatic fat accumulation and abnormal lipid metabolism. Although miR-21 has been implicated in nonalcoholic fatty liver disease, it is unknown whether miR-21 could function as a therapeutic target. Here, we perform transfection analysis of miR-21 mimic or control mimic to evaluate the effects of miR-21 expression levels on human HepG2 nonalcoholic fatty liver cells.

Association of Adiponectin gene polymorphisms and nonalcoholic fatty liver disease.

Objective: To investigate the correlation between Adiponectin gene polymorphisms and the genetic susceptibility of nonalcoholic fatty liver disease (NAFLD).

Methods: 357 NAFLD patients from January 2005 to December 2013 and 357 cases of healthy controls among the Han population were collected; polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was used to detect three tagSNPs (Rs2241767, rsl501299 and rs3774261) of Adiponectin. Risk factors were analyzed by multivariate logistic regression and haplotype analysis was performed using SHEsis software.