Latest AI and machine learning research in allergy for healthcare professionals.
BACKGROUND: Despite its crucial role in immune surveillance and cell survival of tumors, the signifi...
BACKGROUND: Artificial intelligence (AI) models are emerging as promising tools to identify predicti...
Endometrial cancer is the most prevalent form of gynecologic malignancy, with a significant surge in...
In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the s...
OBJECTIVE: The evaluation of the efficacy of immunotherapy is of great value for the clinical treatm...
Artificial intelligence (AI) has significantly impacted various fields, including oncology. This com...
UNLABELLED: Atopic dermatitis, food allergy, allergic rhinitis, and asthma are among the most common...
PURPOSE: We developed an artificial intelligence (AI) model to detect immunotherapy -related adverse...
Progress in developing therapies for the maintenance of endogenous insulin secretion in, or the prev...
The interaction between peptides and major histocompatibility complex (MHC) molecules is pivotal in ...
INTRODUCTION: The lung cancer continues to be the primary cause of cancer-related deaths, despite si...
BACKGROUND: Unlike patients with lung adenocarcinoma, patients with lung squamous cell carcinoma (LU...
Although atopic dermatitis (AD) and type 2 diabetes mellitus (T2DM) may appear clinically and pathop...
Primary human mast cells (MC) obtained through culturing of blood-derived MC progenitors are the pre...
BACKGROUND: The heterogeneity of cancer makes it challenging to predict its response to immunotherap...
Head and neck squamous carcinoma (HNSC), characterized by a high degree of malignancy, develops in c...
INTRODUCTION: Necroptosis has emerged as a promising biomarker for predicting immunotherapy response...
Cancer immunotherapy hinges on accurate epitope prediction for advancing vaccine development. VaxOpt...
The milk ladder (ML) approach, which is the gradual reintroduction of the milk allergen from the lea...
The pharmaceutical industry has increasingly adopted model-informed drug discovery and development (...
To demonstrate the efficacy of machine learning models in predicting mortality in melanoma cancer, w...