Latest AI and machine learning research in allergy for healthcare professionals.
We propose a novel approach to effectively detect cloned identities of social-sensor cloud service...
BACKGROUND: Sinusitis is a commonly encountered clinical condition that imposes a considerable burde...
The mortality rate of oesophageal squamous cell carcinoma (ESCC) remains high, and conventional TNM ...
Programmed cell death (PCD) pathways hold significant influence in the etiology and progression of a...
Biologists frequently desire protein inhibitors for a variety of reasons, including use as researc...
This study introduces a compositional autoencoder (CAE) framework designed to disentangle the comp...
This paper tackles the challenge of running multiple ML inference jobs (models) under time-varying...
In recent years, spatial computing Virtual Reality (VR) has emerged as a transformative technology...
Cancer is a complex disease characterized by uncontrolled cell growth. T cell receptors (TCRs), cr...
OBJECTIVE: This study explores the application of Line-field Confocal Optical Coherence Tomography (...
Researching the specificity of TCR contributes to the development of immunotherapy and provides ne...
The progression of lung adenocarcinoma (LUAD) from atypical adenomatous hyperplasia (AAH) to invasiv...
Lung adenocarcinoma (LUAD) is a leading cause of cancer-related deaths, and improving prognostic acc...
Melanoma, a highly malignant tumour, presents significant challenges due to its cellular heterogenei...
Nasal obstruction (NO), referring to blockage in the nasal cavity, is prevalent, affecting approxima...
With the advent of novel cancer treatment options such as immunotherapy, studying the tumour immun...
In patients with nasopharyngeal carcinoma (NPC), the alteration of immune responses in peripheral bl...
PURPOSE: To use modern machine learning approaches to enhance and automate the feature extraction fr...
To identify disease signature genes associated with immune infiltration in nonalcoholic steatohepati...
Tumor molecular data sets are becoming increasingly complex, making it nearly impossible for humans ...
Precise and personalized drug application is crucial in the clinical treatment of complex diseases. ...