Latest AI and machine learning research in allergy & immunology for healthcare professionals.
Gastric cancer remains a major global health challenge, and its early diagnosis and prognosis prediction pose significant challenges to the current clinical treatment of gastric cancer. Finding gastric cancer biomarkers is essential to comprehending its pathophysiology and creating novel targeted treatments. Following the acquisition and processing of the gastric cancer sample, the single-cell RNA...
BACKGROUND: Intracranial aneurysms (IA) are prevalent vascular lesions whose rupture causes subarachnoid hemorrhage with high disability and mortality. Although cell adhesion molecules help maintain vascular integrity, their roles in IA pathogenesis remain incompletely defined. High-throughput bioinformatics offers a means to elucidate these mechanisms. METHODS: Transcriptomic datasets of IA tissu...
This special volume of Biochimica et Biophysica Acta - Molecular Basis of Disease showcases a transformative era in biomedical research, driven by the...
BACKGROUND: Immunotherapy represents a paradigm shift in oncology, offering advantages in efficacy and specificity over traditional therapies. Key to ...
Embryo implantation centrally involves the maternal immune system's specific acceptance of the semi-allogeneic embryo. Despite advances in assisted re...
Selenium (Se) biofortification in crops has emerged as a promising strategy to address global Se deficiencies and enhance both agricultural productivi...
OBJECTIVES/BACKGROUND: This study utilized a nitroglycerin (NTG)-induced chronic migraine rat model to explore the therapeutic effects and underlying ...
INTRODUCTION: Drug-induced Torsades de Pointes (TdP) has led to withdrawal of several drugs from the market. Individuals with inherited cardiac channe...
BACKGROUND: Equine asthma is a prevalent respiratory disease that negatively impacts horses' health and athletic performance. Traditional diagnostic m...
The systematic literature review was performed on the use of artificial intelligence (AI) algorithms in nonsmall cell lung cancer (NSCLC) prognosticat...
Nasal obstruction has multiple causes requiring specialist endoscopy for diagnosis. A rule-based expert system (RB-ES), which applies five "if-then" r...
Artificial intelligence and machine learning models have been developed to engineer antibodies for specific recognition of antigens. These approaches,...
The rising incidence of allergic disorders has emerged as a pressing public health issue worldwide, underscoring the need for intensified research and...
Colorectal cancer (CRC) exhibits substantial heterogeneity in molecular subtypes and clinical outcomes. We performed an integrative analysis of multi-...
Skin cutaneous melanoma (SKCM) is a fatal form of skin cancer. Metabolism-related genes (MRGs) comprise a group of genes that possess the ability to m...
OBJECTIVE: Asthma is the most common chronic disease of childhood, characterized by symptoms such as wheezing, shortness of breath, and coughing. With...
Glioma is a highly heterogeneous and aggressive brain tumour that demands an integrated understanding of its molecular and immunological landscape. We...
. Air trapping is a major symptom of respiratory diseases like chronic obstructive pulmonary disease and asthma, and has always been a significant pro...
Given the graft-versus-leukemia effect observed with allogeneic hematopoietic stem cell transplantation in refractory or relapsed acute myeloid leukem...
Neoantigens, which are tumor-specific peptides generated by malignant cells, can be presented to T cells to elicit immune responses. Owing to their tu...