Latest AI and machine learning research in psoriasis for healthcare professionals.
Psoriasis and eczema are chronic inflammatory skin diseases with overlapping histopathological features, which often lead to diagnostic uncertainty even among experienced dermatopathologists. To address this challenge, we developed a computer-assisted diagnostic framework that combines the Virchow foundation model, pretrained on 1.5 million whole-slide images, with multi-instance learning (MIL) to...
Metasurfaces, as two-dimensional metamaterials, offer an unprecedented avenue for multidimensional optical detection. However, existing full-Stokes hyperspectro-polarimetric encoding metasurface (FHPEM) designs rely on iterative trial-and-error processes and single-structure optimization, limiting design efficiency and broadband precision. Here, an end-to-end conditional multitask learning framewo...
BACKGROUND: Current atopic dermatitis (AD) therapy selection does not account for molecular drivers of disease, contributing to inadequate disease con...
OBJECTIVES: To evaluate intratumoral subregional and peritumoral radiomics for predicting pathological T stage of clear cell renal cell carcinoma (ccR...
Recent advances in artificial intelligence (AI) and multimodal data collection are revolutionizing dermatology. Generative AI and machine-learning app...
In the past few years, group-based sparse representation (GSR) has emerged as a powerful paradigm for image inverse problems by synergizing model-driv...
The role of artificial intelligence (AI) in biologic discovery, and in the practice of medicine is rapidly increasing. AI-assisted analyses of large d...
This research introduces an innovative agricultural carbon accounting approach for straw burning that combines stochastic process modeling with LSTM n...
In the last decades, critical advancements in research technology and knowledge on disease mechanisms steered therapeutic approaches for chronic infla...
The discovery of new organic photocatalysts (PCs) for energy transfer (EnT) catalysis remains a significant challenge, largely due to the vast and und...
BACKGROUND: The Dutch flagship project Next Generation ImmunoDermatology (NGID) aims to profile five chronic immune-mediated inflammatory skin disease...
BACKGROUND: Vedolizumab, a monoclonal antibody targeting the α4β7 integrin, offers gut-selective immunosuppression and represents a cornerstone biolog...
Psoriasis is a skin disorder which mainly occurs as a rash, scaly areas and an itchy skin. The symptoms usually occur on the chest, elbows, and the sc...
OBJECTIVE: To develop machine learning (ML) models to predict the probability at baseline of achieving low disease activity (LDA) and high health-rela...
Due to the complicated physical mechanisms of topological systems and the pronounced sensitivity and intrinsic asymmetry of Fano resonance, achieving ...
The container-closure system (CCS), specifically the glass vial, plays a pivotal role in heat transfer during lyophilization, thereby influencing proc...
Recent innovations in skin microphysiological systems (MPSs) have gained momentum following regulatory advances such as the FDA Modernization Act 2.0 ...
Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navi...
Tumors display genomic and phenotypic heterogeneity, which holds prognostic significance and may influence therapy response. Radiographic imaging moda...