Latest AI and machine learning research in allergy for healthcare professionals.
BACKGROUND: Canine atopic dermatitis (cAD) is a chronic condition requiring life-long management. Accurate diagnosis can be challenging, with no reliable diagnostic test. OBJECTIVES: This study aimed to generate a simple diagnostic model for cAD. MATERIALS AND METHODS: Machine learning by Random Forest was applied to metadata from a prospective dataset of clinical cases definitively diagnosed with...
Food allergies are increasing in prevalence, yet current diagnostic tests remain either inaccurate or potentially unsafe. The basophil activation test (BAT) has emerged as a promising functional assay, involving the ex vivo stimulation of whole blood with allergens and subsequent measurement of basophil activation. The BAT has been shown to have high diagnostic accuracy. However, clinical adoption...
BACKGROUND & AIMS: Immune checkpoint inhibitor-based combination therapy has demonstrated high objective response rates in patients with hepatocellula...
Melanoma is a highly aggressive cutaneous malignancy characterized by a strong propensity for metastasis and therapy resistance, with its progression ...
The emergence of big data and analytic approaches initiated research efforts to characterise different subtypes of allergic diseases, including tracki...
Esophageal cancer (EC) is one of the most serious health issues around the world, ranking seventh among the most lethal types of cancer and eleventh a...
BACKGROUND: Immunotherapy represents a paradigm shift in oncology, offering advantages in efficacy and specificity over traditional therapies. Key to ...
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...
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...
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...
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...
BACKGROUND: The prognosis of ovarian cancer is closely related to the degree of immune cell infiltration within the tumor microenvironment. However, c...
BACKGROUND: Numerous studies have suggested a close association between cancer stem cells (CSCs) and the tumor microenvironment (TME), suggesting that...
Non-small cell lung cancer (NSCLC) is a leading cause of cancer-related deaths worldwide. Despite advancements in treatment, prognosis for patients wi...