Allergy & Immunology

Using informatics to understand pediatric allergic diseases.

PURPOSE OF REVIEW: Recent advances in the power, utility, and accessibility of artificial intelligen...

Zoonotic Viral Spillover: From Reservoir Ecology and Viral Evolution to Pandemic Prevention.

Zoonotic viral spillover represents a major global health challenge arising from complex interaction...

Performance Evaluation of an Artificial Intelligence-Assisted Digital Morphology System for Bone Marrow Aspirate Examination.

INTRODUCTION: Morphological examination of bone marrow aspirates (BMA) remains essential for the dia...

Artificial intelligence in central nervous system autoimmune diseases: from clinical decision support to mechanistic discovery and translation.

Central nervous system (CNS) autoimmune diseases, including multiple sclerosis (MS), neuromyelitis o...

Comprehensive Multicenter Evaluation of an AI-Based Deep Learning System for Automated Blood Cell Classification and Morphologic Analysis.

BACKGROUND AND OBJECTIVES: Deep learning-based systems have shown promise in automating white blood ...

Metabolic immune checkpoints (MICs) in cancer: from molecular mechanisms to challenges and opportunities in clinical translation.

Metabolic reprogramming is a core feature of tumor cells in adapting to microenvironmental stress an...

Real-World Effectiveness of AI-Enabled Clinical Decision Support in Primary Care: Systematic Review.

BACKGROUND: AI-enabled clinical decision support systems (CDSS) are being used in primary care, but ...

Regarding "Machine Learning Model Development and Validation in Individuals With Suggestive Hypersensitivity to Nonsteroidal Anti-inflammatory Drugs".

Current laboratory diagnostics for tuberculosis: from conventional approaches to next-generation molecular and immunological technologies.

Tuberculosis (TB) remains a major global public health concern despite advances in diagnosis and tre...

SmartVax-Bp: An Immunoinformatic guided Multi-Epitope Vaccine Blueprint Against Burkholderia pseudomallei.

Burkholderia pseudomallei (B. pseudomallei) is the causative agent of melioidosis, a potentially ser...

Comprehensive analysis and external validation of a glycolysis-related gene signature as a prognostic index for skin cutaneous melanoma.

Skin cutaneous melanoma (SKCM) is the third most common cause of cancer-related deaths globally. Tod...

Multiplex single-tier LymeSeek test improves sensitivity during the diagnostic gray zone of early Lyme disease.

Lyme disease, caused by the spirochete Borrelia burgdorferi, is the most common vector-borne disease...

Successful predictive modeling of pollen fitness phenotypes is enabled by measures of expression specificity.

The ability to predict phenotypes from genotypes in multicellular organisms remains limited despite ...

Explainable Machine Learning to Identify Clinical, Environmental, and Social Factors Associated with Diagnosed Pediatric Asthma.

BACKGROUND: Pediatric asthma reflects clinical, physiologic, environmental, and social determinants,...

Proteomics for cultivated meat: Current insights and research frontiers.

Cultivated meat, produced through cellular agriculture, is emerging as an alternative to conventiona...

A Commentary on AI-based Prediction Models in Periodontitis Progression.

A COMMENTARY ON: Furquim CP, Caruth L, Chandrasekaran G, et al. "Developing Predictive Models for Pe...

Palmar hyperlinearity is associated with persistent atopic dermatitis trajectory with high allergic risk: The yamanashi adjunct study of the Japan environment and Children's study.

BACKGROUND: Palmar hyperlinearity (PH) is a minor diagnostic criterion for atopic dermatitis (AD) pr...

DeepRAGIL-2: a retrieval-augmented protein language model framework for sensitive and accurate prediction of IL-2-inducing peptides.

Interleukin-2 (IL-2) is a pleiotropic cytokine central to T-cell activation, proliferation, and immu...

Evaluating Vaginal Microbiome Effects on Antiretroviral Exposure in the Female Genital Tract Using Pharmacometric and Machine Learning Approaches.

Antiretroviral pre-exposure prophylaxis (PrEP) is less effective in women than expected, partly beca...

Deep learning of fossil pollen morphology reveals 25,000 y of ecological change in eastern African grasslands.

Grass (Poaceae) pollen is largely overlooked in investigations of grassland evolution because the po...

Cervical cancer survival analysis by integrating multi-omics data through an adaptive weighted deep neural network.

Accurately analyzing cervical cancer prognosis holds significant importance for enhancing clinical o...