Latest AI and machine learning research in allergy & immunology for healthcare professionals.
We propose Open Immune Oncology (OpenIO), a framework integrating generative AI and omics to advance precision oncology. By leveraging biological scaling laws and foundation models, we aim to transition immunotherapy from empirical screening to rational, AI-native engineering of therapeutic interventions.
This study explores the potential of explainable artificial intelligence to advance our understanding of allergen peptides in the context of dermatology and cosmetics. We present a hybrid deep learning framework that integrates Temporal Convolutional Networks (TCN) and stacked Long Short-Term Memory (LSTM) architectures, enhanced with Evolutionary Scale Modeling (ESM) embeddings, to decode allerge...
OBJECTIVE: Exposure to benzo(a)pyrene (BaP) negatively affects lung inflammation in patients with asthma. However, there is a lack of systematic resea...
Generative artificial intelligence (AI) is rapidly emerging as a valuable tool in medicine, with increasing use in asthma and allergy practice. Large ...
The analysis and testing allergenic ingredients in cosmetics are crucial for quality and safety control. This study presents an improved method based ...
This study aimed to develop a robust prediction model- using machine-learning algorithms based on the core indicators of the tumor immune microenviron...
BACKGROUND: Chronic liver disease (CLD) and its progression to compensated cirrhosis (CC), decompensated cirrhosis (DC), and acute-on-chronic liver fa...
BACKGROUND: Aortic dissection (AD) is a life-threatening cardiovascular emergency characterized by high acute mortality. While immune dysregulation is...
BACKGROUND: Equitable access to prescribed therapies remains challenging for older adults with chronic respiratory diseases (CRDs) in rural China. Liq...
Glioblastoma is a highly aggressive brain tumor characterized by complex genetic, molecular, and epigenetic features that present significant challeng...
Cancer cachexia, responsible for up to 30% of cancer deaths, has transitioned conceptually from a mere nutritional deficit into a highly coordinated, ...
Cough is a common and physiologically informative component of respiratory morbidity, but its potential for diagnosing and monitoring disease is not t...
BACKGROUND: Atherosclerosis (AS) was a major cause of cardiovascular disease, and traditional diagnostic methods often fail to detect AS promptly and ...
BACKGROUND: Lysosomes are essential for intracellular degradation and recycling, and changes in their function significantly contribute to tumor growt...
Airborne pollen, an aeroallergen, impacts human health, particularly as climate change shifts pollen dynamics, requiring accurate monitoring to suppor...
BACKGROUND AND AIM: Hypersensitivity pneumonitis (HP) is a complex, immüne mediated interstitial lung disease in which accurate diagnosis and long ter...
Food allergy represents a significant global health concern with considerable socioeconomic impacts. While natural bioactive components offer promisin...
OBJECTIVE: Procalcitonin (PCT) has moderate accuracy for bacteremia detection but is infrequently used in pediatric emergency departments, partly due ...
Complex algorithms and prediction models are increasingly being developed, investigated and applied for clinical use in medical laboratories and beyon...
OBJECTIVE: We investigated neurotensin receptor 1 (NTSR1) as a potential mediator of the mechanical immune barrier that contributes to T-cell exclusio...