Artificial Intelligence Medical Compendium

Proinflammatory peptides (PIPs) are short bioactive sequences that mediate immune responses and contribute to various inflammatory diseases. Accurate identification of PIPs is essential for elucidating disease mechanisms and accelerating therapeutic ... read more 

OBJECTIVE: The assessment of disability in multiple sclerosis (MS) patients is crucial for treatment decisions and prognosis estimation. The Expanded Disability Status Scale (EDSS) provides a standardized way to quantify disability in MS. However, pr... read more 

In recent years, UAV aerial imagery has emerged as a pivotal tool in fire detection. However, when capturing images at long distances, it will be affected by factors such as limited viewing angles, complex backgrounds and environmental interference, ... read more 

BACKGROUND: Pediatric bipolar disorder (PBD) is a severe and disabling condition marked by alternating episodes of mania and depression, intermitted with periods of remission. A critical challenge in the field is to elucidate the neural mechanisms un... read more 

PURPOSE: Mental well-being is a cornerstone of recovery for people with mental disorders. Unfortunately, despite many studies on the topic, the literature still lacks results from large samples processed using advanced models capable of taking numero... read more 

The study of moving boundary problems requires determining the moving interface which is a-priori unknown, significantly affecting the problem's physics. Traditional methods for tracking the moving interface struggle with the coupling of the moving i... read more 

Electronic Health Records (EHRs) are a leading source of epidemiological data, but often lack information on a patient's disability status. This gap hampers our ability to analyse the full scope of health inequities faced by people with disabilities.... read more 

To achieve high-performance qualitative and quantitative joint analysis of milk powder adulteration, a Multi-Task Mixture-of-Experts Convolutional Neural Network (MTMoE-CNN) based on time-resolved laser-induced breakdown spectroscopy (LIBS) was propo... read more 

Soft optical sensors hold potential for enhancing minimally invasive procedures like colonoscopy, yet their complex, multi-modal responses pose significant challenges. This work introduces a machine learning (ML) framework for real-time estimation of... read more 

Accurate detection of lymph node metastasis (LNM) is critical for colorectal cancer (CRC) staging and treatment planning, yet current histopathological assessment based on lymph nodes remains labor-intensive and operator-dependent. Here, we developed... read more