Latest AI and machine learning research in dermatology for healthcare professionals.
Developing reliable healthcare AI models requires training with representative and diverse data. I...
The skin, as the largest organ of the human body, is vulnerable to a diverse array of conditions c...
Chronic itch affects 13% of the US population, is highly debilitating, and underlies many medical ...
Multiplex immunofluorescence (mIF) imaging plays a crucial role in studying multiple biomarkers and ...
Tissue microenvironments reprogram local cellular states in disease, yet current computational spati...
Atopic dermatitis (AD) is a chronic inflammatory skin disease driven by complex interactions among g...
Despite increased understanding of psoriasis pathogenesis, molecular classification of clinical phen...
Large language models are increasingly being used by dermatology professionals to support diagnostic...
Itch or pruritus invokes a specific reflexive and repetitive directed nocifensive behavioural respon...
Elucidating drug response mechanisms in human melanoma is crucial for improving treatment outcomes. ...
Neurological disorders often originate from progressive brain network dysfunctions that start years ...
Analyzing whole tissue architecture remains challenging due to the inherent complexity of multicellu...
Linking spatial transcriptomic data to clinically relevant phenotypes is essential for advancing spa...
Malassezia pachydermatis is a zoophilic yeast found on the skin and in the outer ear canal of many m...
In cell biology, optical techniques are increasingly used to measure cells’ internal states (biosens...
Brain metastasis (BrM) is a serious complication of advanced cancers and remains difficult to predic...
Timeseries clinical transcriptomic datasets offer the opportunity to gain insights into the dynamics...
Gene regulatory networks (GRNs), involving interactions between large numbers of genes, govern expre...
Pemphigoid diseases (PD) are autoimmune blistering diseases with reported alterations in skin and gu...
Decoding cellular systems requires integrating diverse omics data, yet most models are trained from ...
Malformations of cortical development such as tuberous sclerosis complex arise within a heterogeneou...