Latest AI and machine learning research in allergy & immunology for healthcare professionals.
Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive malignant tumors in the dige...
AIM: To develop a positron emission tomography/computed tomography (PET/CT)-based radiomics model fo...
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a dee...
BACKGROUND: Integrating comprehensive information on hepatocellular carcinoma (HCC) is essential to ...
The growing application of immune checkpoint inhibitors (ICIs) in cancer immunotherapy has underscor...
Gastric cancer (GC) is a prevalent malignancy with a high mortality rate and limited treatment optio...
The rapid and precise quantification and identification of proteins as key diagnostic biomarkers hol...
With the rising demand for liver transplantation (LT), research on acute rejection (AR) has become i...
Immunotherapy and chemoimmunotherapy are standard treatments for non-oncogene-addicted advanced non-...
Regional responses to inhaled toxicants are essential to understand the pathogenesis of lung disease...
Cancer remains a significant global health challenge, with the Cell Division Cycle 7 (CDC7) protein ...
This study's objective was to develop predictive models for bladder cancer (BLCA) using tumor infilt...
The increasing global incidence of atopic dermatitis (AD) in children, especially in Western industr...
Beta-lactoglobulin (β-LG), the primary allergen in cow's milk, makes developing a rapid, sensitive, ...
INTRODUCTION: The gut microbiota is associated with the response to immunotherapy in cutaneous melan...
Multimodal phototheranostics utilizing single molecules offer a "one-and-done" approach, presenting ...
BACKGROUND: Accurate prediction of pathologic complete response (pCR) following neoadjuvant immunoth...
Native ion mobility-mass spectrometry combined with collision-induced unfolding (CIU) is a powerful ...
BACKGROUND: Programmed death ligand 1 (PD-L1) expression status, closely related to immunotherapy ou...
Model-agnostic meta-learning (MAML), coupled with digital twins, is transformative for predictive ma...
Sepsis represents a significant global health challenge, necessitating early detection and effective...