Artificial Intelligence Medical Compendium

INTRODUCTION: Efforts are being made to design a brain-like intelligence due to its robustness, synaptic modification (i.e., learning and memory), analog synaptic multiplication, multi-state storage, ultra-low power consumption, and parallel computat... read more 

In this paper, we present the results of training machine learning (ML) models for accurate prediction of several key photophysical characteristics (absorption maximum wavelength, molar absorption coefficient, emission maximum wavelength, fluorescenc... read more 

We previously reported that the nascent SKIK peptide enhances translation and alleviates ribosomal stalling caused by arrest peptides (APs) such as SecM and polyproline when positioned immediately upstream of the APs in both Escherichia coli in vivo ... read more 

Sinapis Semen, as a traditional Chinese medicine, has an unclear relationship between its stir-frying degrees and sensory characteristics. Therefore, it is essential to develop a multi-index evaluation method to classify the processing degree of Sina... read more 

The settling velocity of microplastics (MPs) is a critical parameter for understanding their migration and behavior in aquatic environments. Conventional methods typically focus on tracking individual MPs and often face significant challenges in capt... read more 

In recent years, the rapid proliferation of graph data in practical applications has underscored the growing significance of distributed graph computing. The emergence of a federated graph-level clustering framework injects strong momentum into the f... read more 

WiFi-based identity recognition has attracted considerable attention due to its nonintrusive nature and ability to preserve privacy, unlike traditional camera-based or wearable-sensor-based methods. However, variations in human posture can severely d... read more 

Advances in transmission electron microscopy under extreme conditions have enabled in situ experiments to capture vast amounts of data on defect evolution. On the other hand, computer vision models such as Mask R-CNN have become popular in the last f... read more 

Adverse weather removal aims to restore clear vision under adverse weather conditions. Existing methods are mostly tailored for specific weather types and rely heavily on extensive labeled data. In dealing with these two limitations, this paper prese... read more 

Spontaneous preterm birth (SPB) is a leading cause of neonatal morbidity and mortality worldwide. It occurs when the uterine cervix (UC) opens prematurely due to various biological factors. Early detection is crucial to reducing its adverse outcomes.... read more