Latest AI and machine learning research in allergy & immunology for healthcare professionals.
AI-powered LizAI XT ensures real-time and accurate mega-structure of different clinical datasets a...
It is evident that a robust immune system keeps Candida albicans infection in check, but weakened im...
In the dentistry field, dental caries is a common issue affecting all age groups. The presence of de...
The increasing global burden of allergic diseases and multimorbidity underscores the urgent need for...
BACKGROUND: Hepatocellular carcinoma (HCC) is a major global contributor to cancer-related mortality...
AI-driven "audiomics" leverages voice and respiratory sounds as non-invasive biomarkers to diagnose ...
Recent advances in artificial intelligence (AI) and multimodal data collection are revolutionizing...
There are currently no licensed vaccines for norovirus, a leading cause of epidemic and endemic gast...
Allergic asthma in children is typically associated with house dust mites (HDM) as the key allergen....
Neuropathic corneal pain (NCP) is an underdiagnosed ocular disorder caused by aberrant nociception a...
Pregnancy-associated dermatologic conditions emerge from intricate hormonal, immunologic, genetic, a...
Recent advances in artificial intelligence (AI) and multimodal data collection are revolutionizing d...
Generative diffusion models have advanced image editing with high-quality results and intuitive in...
Prostate cancer (PCa) remains a leading cause of cancer-related mortality, necessitating robust prog...
Atopic dermatitis is a chronic skin disease, causing itching and recurrent eczematous lesions. In Da...
Human Immunodeficiency Virus (HIV) belongs to the Lentivirus genus, Retroviridae family, enveloped b...
BACKGROUND: CD8T cells, also known as cytotoxic T lymphocytes, play a key role in the tumor immune m...
Although immunotherapy demonstrates considerable prospect in overcoming solid tumors, its clinical e...
Pyrrolizidine alkaloids (PAs) are plant toxins occurring in different foodstuffs, including teas, he...
PURPOSE: This study aims to develop and validate a machine learning (ML) model to predict prolonged ...
Current immunotherapeutic approaches for autoimmune disorders primarily rely on the use of generaliz...