Latest AI and machine learning research in dermatology for healthcare professionals.
Small-molecule drugs play a critical role in cancer therapy by selectively targeting key signaling p...
BACKGROUND AND PURPOSE: The imaging of inflammatory myelopathies has advanced significantly across t...
BACKGROUND: The integration of artificial intelligence (AI) into patch testing for allergic contact ...
BACKGROUND: Generalisation of artificial intelligence (AI) models to a new setting is challenging. I...
Skin cancer is a severe and rapidly advancing condition that can be impacted by multiple factors, in...
MRGPRX1 plays dual roles in mediating nociception and pruritus, making it a promising target for all...
The histopathologic evaluation of regulatory toxicity studies using artificial intelligence (AI) has...
Regulated cell death (RCD) is crucial for the advancement of cancers, and providing opportunities as...
Accurate brain lesion delineation is important for planning neurosurgical treatment. Automatic brain...
Several decades of research have investigated the neural connections between stroke-induced brain da...
Due to their high mechanical compliance and excellent biocompatibility, conductive hydrogels exhibit...
BACKGROUND: The TCbHP regimen, consisting of combining docetaxel (T), carboplatin (Cb), trastuzumab ...
This study compared machine-learning models for predicting recurrence-free survival (RFS), disease-s...
Artificial intelligence (AI)-based systems are increasingly being used to assist radiologists in de...
: Serum diagnostic tests for alopecia areata may be used to monitor response to treatment, aiding in...
BACKGROUND: Atopic dermatitis (AD) is a prevalent chronic and recurrent skin condition in children. ...
Multiple sclerosis (MS) is a chronic inflammatory disease characterized by demyelinating lesions in ...
Stomatal anatomy and physiology define CO availability for photosynthesis and regulate plant water u...
Advancements in human-machine interfaces (HMIs) are pivotal for enhancing rehabilitation technologie...
Nomograms are commonly used in oncology to assist clinicians in individualized decision-making proce...
Tumor cell survival depends on the presence of oxygen and nutrients provided by existing blood vesse...