Dermatology

Psoriasis

Latest AI and machine learning research in psoriasis for healthcare professionals.

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Dermatology Subcategories: Atopy Psoriasis
Showing 64-84 of 2,098 articles
HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-Body Mesh Recovery.

Recovering whole-body mesh by inferring the abstract pose and shape parameters from visual content c...

An antibody developability triaging pipeline exploiting protein language models.

Therapeutic monoclonal antibodies (mAbs) are a successful class of biologic drugs that are frequentl...

Modifying the severity and appearance of psoriasis using deep learning to simulate anticipated improvements during treatment.

A neural network was trained to generate synthetic images of severe and moderate psoriatic plaques, ...

Graph-based prototype inverse-projection for identifying cortical sulcal pattern abnormalities in congenital heart disease.

Examining the altered arrangement and patterning of sulcal folds offers insights into the mechanisms...

Plant-inspired decentralized controller for robust orientation control of soft robotic manipulators.

Due to the complexity of deformations in soft manipulators, achieving precise control of their orien...

IConDiffNet: an unsupervised inverse-consistent diffeomorphic network for medical image registration.

Deformable image registration (DIR) is critical in many medical imaging applications. Diffeomorphic ...

Towards autonomous robotic THz-based in vivo skin sensing: the PicoBot.

Terahertz (THz) light has the unique properties of being very sensitive to water, non-ionizing, and ...

Application-driven validation of posteriors in inverse problems.

Current deep learning-based solutions for image analysis tasks are commonly incapable of handling pr...

The research progress of biologics in elderly-onset rheumatoid arthritis (EORA).

is a distinct subtype of characterized by heightened treatment challenges due to immune aging and ...

A practical guide to FAIR data management in the age of multi-OMICS and AI.

Multi-cellular biological systems, including the immune system, are highly complex, dynamic, and ada...

Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks.

SIGNIFICANCE: Machine learning models for the direct extraction of tissue parameters from hyperspect...

Artificial Intelligence-Guided Inverse Design of Deployable Thermo-Metamaterial Implants.

Current limitations in implant design often lead to trade-offs between minimally invasive surgery an...

Single-Cell Sequencing and Machine Learning Integration to Identify Candidate Biomarkers in Psoriasis: .

BACKGROUND: Psoriasis represents a persistent, immune-driven inflammatory condition affecting the sk...

Mapping two decades of research in rheumatology-specific journals: a topic modeling analysis with BERTopic.

BACKGROUND: Rheumatology has experienced notable changes in the last decades. New drugs, including b...

Psoriasis severity assessment: Optimizing diagnostic models with deep learning.

Psoriasis is a chronic skin condition with challenges in the accurate assessment of its severity due...

Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation.

Polymeric membranes have been widely used for liquid and gas separation in various industrial applic...

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