Latest AI and machine learning research in allergy for healthcare professionals.
BACKGROUND: Neutrophils play a key role in the tumor microenvironment (TME); however, their function...
Accurate medical image segmentation is crucial for enabling automated clinical decision procedures. ...
Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive malignant tumors in the dige...
Joint analysis of transcriptomic and T cell receptor (TCR) features at single-cell resolution provid...
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...
The growing application of immune checkpoint inhibitors (ICIs) in cancer immunotherapy has underscor...
BACKGROUND: Ovarian cancer (OC), owing to its substantial heterogeneity and high invasiveness, has h...
Gastric cancer (GC) is a prevalent malignancy with a high mortality rate and limited treatment optio...
Intratumor heterogeneity (ITH) is involved in tumor evolution and drug resistance. Drug sensitivity ...
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-...
INTRODUCTION: Tumor-infiltrating B lymphocytes (TILBs) play a pivotal role in shaping the immune mic...
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...
Model-agnostic meta-learning (MAML), coupled with digital twins, is transformative for predictive ma...