Allergy & Immunology

Multimodal integration of longitudinal noninvasive diagnostics for survival prediction in immunotherapy using deep learning.

OBJECTIVES: Immunotherapies have revolutionized the landscape of cancer treatments. However, our und...

A multi-faceted discovery strategy identifies functional antibodies binding to cysteine-rich domain 1 of hDKK1 for cancer immunotherapy via Wnt non-canonical pathway.

Wnt signaling is important in embryonic development and tumorigenesis. These biological effects can ...

Decoding virulence and resistance in Klebsiella pneumoniae: Pharmacological insights, immunological dynamics, and in silico therapeutic strategies.

Klebsiella pneumoniae (K. pneumoniae) has become a serious global health concern due to its rising v...

Application of Fourier transform infrared (FTIR) spectroscopy in liquid biopsy to predict the response to the first-line immunotherapy in non-small-cell lung cancer (NSCLC) patients.

The direction of anticancer therapies has changed in recent years, including the increasing use of i...

Bacterial Therapeutics: Addressing the Affordability Gap in Cancer Therapy.

The global cancer care burden is projected to reach $25 trillion by 2050, with the United States exp...

Machine learning enabled protein secondary structure characterization using drop-coating deposition Raman spectroscopy.

Protein structure characterization is critical for therapeutic protein drug development and producti...

A multi-omics machine learning classifier for outgrowth of cow's milk allergy in children.

Cow's milk protein allergy (CMA) is one of the most common food allergies in children worldwide. How...

Artificial Intelligence Can Predict Personalized Immunotherapy Outcomes in Cancer.

The rapid advancement of artificial intelligence (AI) technologies has opened new avenues for advanc...

Leveraging Artificial Intelligence for Neoantigen Prediction.

Neoantigens represent a class of antigens within tumor microenvironments that arise from diverse som...

Integrating multi-omics data with artificial intelligence to decipher the role of tumor-infiltrating lymphocytes in tumor immunotherapy.

Tumor-infiltrating lymphocytes (TILs) are capable of recognizing tumor antigens, impacting tumor pro...

Spatiotemporal calcium signaling patterns underlying opposing effects of histamine and TAS2R agonists in airway smooth muscle.

Intracellular calcium (Ca) release via phospholipase C (PLC) following G-protein-coupled receptor (G...

Advancing T-cell immunotherapy for cellular senescence and disease: Mechanisms, challenges, and clinical prospects.

Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging...

Development and validation of a machine learning-based diagnostic model for identifying nonneutropenic invasive pulmonary aspergillosis in suspected patients: a multicenter cohort study.

UNLABELLED: This study aims to develop and validate an optimized diagnostic model for nonneutropenic...

Data-Driven Detection of Nocturnal Pollen Fragmentation Triggered by High Humidity in an Urban Environment.

Biological particulate matter (BioPM) in the urban environment can affect human health and climate. ...

Development of prediction equations for immunoglobulin A, immunoglobulin G, and immunoglobulin M concentrations in mature milk from Holstein cows using milk infrared spectral data.

Immunoglobulins in ruminant mammary secretions play a central role in active immune protection of th...

[Progress in neoadjuvant immunotherapy for locally advanced rectal cancer].

Neoadjuvant chemoradiotherapy (NACRT) is the standard treatment for locally advanced rectal cancer (...

Nanotechnology-Enhanced siRNA Delivery: Revolutionizing Cancer Therapy.

RNA interference (RNAi) has emerged as a transformative approach for cancer therapy, enabling precis...

Characterization of m6A-Related Genes in Tumor-Associated Macrophages for Prognosis, Immunotherapy, and Drug Prediction in Lung Adenocarcinomas Based on Machine Learning Algorithms.

Tumor-associated macrophages (TAMs) are a vital immune component within the tumor microenvironment (...

Editorial: New Target for Skin Cancer.

Skin cancer encompasses a diverse spectrum of malignancies with increasing global incidence and pers...

Deep learning model for predicting immunotherapy response in patients with advanced NSCLC: Study findings demonstrate a strong and independent deep learning-based feature associated with an immune checkpoint inhibitor response in patients with NSCLC across cohorts.

Multi-layered data framework for enhancing postoperative outcomes and anaesthesia management through natural language processing.

Anaesthesia management is a critical aspect of perioperative care, directly influencing postoperativ...