Latest AI and machine learning research in allergy & immunology for healthcare professionals.
BACKGROUND: Immune checkpoint blockade (ICB) therapy has provided a promising treatment option for patients with triple-negative breast cancer (TNBC). However, existing efficacy prediction strategies based on programmed death-ligand 1 (PD-L1) expression and Tumor Mutational Burden (TMB) have significant limitations, leading to inaccurate patient selection. METHODS: This study integrated multi-omic...
Fish allergy is a common food-related allergic reaction that can lead to serious health issues and poses a significant challenge to global food safety. To facilitate a clear understanding of risk prevention and control for fish allergy, we provide a comprehensive overview of the mechanism underlying fish allergy and the properties of fish allergens, with a dedicated focus on innovative processing ...
Cancer immunotherapy, which leverages the immune system to combat tumor cells, has made significant advancements in oncology treatment in recent years...
OBJECTIVE: Insidiousness is a hallmark of metachronous liver metastasis. Owing to the absence of a comprehensive machine-learning model integrating sy...
Advances in immunotherapy, particularly with immune checkpoint inhibitors, have improved clinical outcomes in various cancer subtypes; however, resist...
BACKGROUND: Focused ultrasound, low-intensity focused ultrasound, and microbubble-enhanced sonoporation are examples of ultrasound-based cancer therap...
The rapid evolution of computational biology has transformed vaccine design from a largely empirical process into a rational, data-driven discipline. ...
BACKGROUND: While immunotherapy has transformed treatment paradigms for cancer, durable response rates remain below 30%. Currently available biomarker...
OBJECTIVE: This study aimed to identify inflammatory subtypes of asthma using peripheral blood transcriptomics and to derive candidate biomarkers supp...
PURPOSE OF REVIEW: Artificial intelligence (AI) has emerged as an increasingly accessible and influential resource within both public and clinical dom...
Artificial intelligence (AI) is rapidly advancing respiratory disease management, from diagnosis to population lung health. This scoping review synthe...
In metastatic melanoma with a BRAFV600 mutation, inhibitors of BRAF and MEK have improved survival. Resistance may be acquired through late genetic al...
BACKGROUND: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality globally, with over 905,700 new cases and 830,200 de...
ChatGPT Health launched in January 2026 as OpenAI's consumer health tool, reaching millions of users. Here, we conducted a structured stress test of t...
The growing ageing population presents significant challenges for healthcare systems, particularly in monitoring age-related physiological decline. Ag...
A central question in glass physics is whether dynamic heterogeneity of supercooled liquids can be inferred from static structure. Successful models b...
BACKGROUND: Tumor evolution is a spatiotemporal dynamic process orchestrated by the interplay of genetic mutations, epigenetic reprogramming, and bidi...
Triple-negative breast cancer (TNBC) is the most violent type of breast cancer, in which estrogen receptors (ER), progesterone receptors (PR), and hum...
Emerging research links the gut, skin, and oral microbiomes to allergies, with serine proteases (SPs) identified as potential allergens. This study le...