Allergy & Immunology

Degraders on Demand: Engineering Smart Nanocarriers for PROTAC Delivery.

Proteolysis-targeting chimeras (PROTACs) are transforming targeted therapeutics by enabling the sele...

Smart three-in-one detection platform: Chemical sensing, image recognition, and machine learning for rapid identification of tetracycline antibiotics.

The hidden allergic reactions and cumulative toxic effects caused by antibiotic residues in aquatic ...

TNFAIP3, PADI4, and CXCR4 as biomarkers of neutrophil extracellular traps in severe asthma.

Asthma is a heterogeneous condition impacting an estimated 300 million individuals globally. Althoug...

Machine learning-assisted prognosis of multiple myeloma side population cells via SRGs and OCLR stemness index.

BACKGROUND AND OBJECTIVE: Relapse in Multiple Myeloma, driven by therapy-resistant cancer stem cells...

Spatiotemporal prediction of aeropollen concentration using tree-based machine learning.

Pollen is a major aeroallergen and an important environmental health concern, with its concentration...

Decoding Senescence-Driven Heterogeneity in Early-Onset Colorectal Cancer for Prognostic and Therapeutic Stratification.

Early-onset colorectal cancer (EOCRC), diagnosed in patients under 50, is particularly aggressive, y...

Sequential active learning for medium optimization in mAb production.

Monoclonal antibodies (mAbs) are key therapeutics for diseases like cancer and autoimmunity. The pro...

Construction and application of a high-resolution pollen numerical model system based on phenology and XGBoost.

The allergenic characteristics of anemophilous pollen differ among taxa, and its atmospheric concent...

A novel polypeptide molecule attenuates atopic dermatitis by targeting CCR8-CCL1 axis.

Atopic dermatitis (AD) is a common chronic inflammatory skin disease with diverse clinical phenotype...

Early prediction of immunological non-responders in people living with HIV using machine learning: Model development and validation in multicenter cohorts in China.

BACKGROUND: Despite antiretroviral therapy (ART), 10-40 % of people living with HIV (PLWH) fail to n...

A multicenter multimodel habitat radiomics model for predicting immunotherapy response in advanced NSCLC.

A robust predictive biomarker is critical for identifying patients with NSCLC who may benefit from i...

Characterizing endotypes in chronic rhinosinusitis: emerging research and clinical applications.

PURPOSE OF REVIEW: The purpose of this study is to describe why this review is timely and relevant. ...

Pediatric asthma management via integration of a remote spirometry device into an EHR-based artificial intelligence-powered clinical decision support system: A feasibility pragmatic clinical trial.

BACKGROUND: Asthma is the most common chronic disease in children. Suboptimal asthma control is prev...

Utilizing data mining to improve asthma control in children: a study on influential factors.

OBJECTIVE: To identify the most influential features of asthma control in children and to assess whe...

Causal models and network instability in neurological and psychiatric disorders: Computational and clinical perspectives.

Self-diagnosis-the capacity of a system to detect and correct its own failures-is a defining propert...

Smooth Muscle Disruptive Feature Defines Molecular Subtyping, Risk Stratification, and Metastatic Potential in Prostate Cancer.

BACKGROUND: Smooth muscle (SM) invasion represents a critical feature of prostate cancer (PCa) progr...

Automated lung sound detection via Bi-GRU-modified SqueezeNet architecture with new stock well feature set.

Lung sound analysis is critical for diagnosing respiratory diseases such as asthma, bronchiectasis, ...

Evaluation of a Semi-Supervised AI Model (ASUS Blade) for Peripheral Blood Film Leukocyte Classification.

BACKGROUND: The peripheral blood film (PBF) analysis traditionally relies on manual microscopy (MM),...

Modulating tumor mechanics and vascular barriers to enhance chemotherapy efficacy in pancreatic tumors and melanoma.

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense stroma and dysfunctional vascula...

Quantification differences between supine and prone CT in interstitial lung disease.

PURPOSE: To evaluate the measurement variability and reproducibility of prone imaging with quantitat...

Algorithm guided personalized T cell therapy: machine learning unlocks next generation TCR engineered immunotherapy.