Artificial Intelligence Medical Compendium

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Graph-based semi-supervised learning (GSSL) has received more attention in recent years. Many existing methods obtain a fixed similarity graph based on the original data. Affected by the redundant information and noise of the original data, the obtai... read more 

Foodborne pathogens represent a significant threat to public health. The development of rapid and sensitive detection methods is critical for the effective prevention and control of food safety issues. In recent years, pathogens detection methods bas... read more 

BACKGROUND: Lactylation is acknowledged as a regulator of numerous biological processes related to cancer. Research on the ability of lactylation-related genes (LacRGs) to predict prognosis and immunotherapeutic response in ovarian cancer (OC) patien... read more 

Recently, graph domain adaptation (GDA) has received significant attention. The goal is to transfer knowledge from a labelled source graph to an unlabelled target graph to alleviate the lack of high-quality labels in the target domain. However, curre... read more 

In the era of large language models (LLMs), low-rank adaptation (LoRA) has emerged as an essential technique for parameter-efficient fine-tuning, significantly reducing the computational and memory overhead during model adaptation. However, the poten... read more 

The Recurrent Hopfield Mass Model (RHoMM) is a novel generative model developed for the estimation of large-scale effective connectivity from magnetoencephalography (MEG) Band Limited Power signals. This binary mass model, compared to the other popul... read more 

Clinically, epilepsy manifests as a chronic condition marked by unprovoked, recurrent seizures, plaguing over 70 million individuals with debilitating seizures and life-threatening complications. Approximately 30% of patients with epilepsy do not res... read more 

Acute kidney injury (AKI) is a devastating complication of acute illness that affects adults and children across multiple settings worldwide and is associated with the development and progression of chronic kidney disease, increased mortality and inc... read more 

De novo protein design has seen major success in scaffolding single functional motifs; however, in nature, most proteins present multiple functional sites. Here, we describe an approach to simultaneously scaffold multiple functional sites in a single... read more