Latest AI and machine learning research in psoriasis for healthcare professionals.
Cardiovascular-kidney-metabolic (CKM) syndrome is characterized by complex pathophysiological intera...
Development of anti-drug antibodies (ADAs) is a barrier to long-term efficacy of biologic therapies ...
Despite biomarker-guided treatment strategies, clinical outcomes among patients with type 2 (T2)-hig...
Unintended pregnancy remains common in high income countries and has been linked to poorer maternal ...
MRI-derived organ and tissue volumes are powerful endophenotypes for studying complex disease, but t...
Current approaches to selecting molecularly targeted therapies (biologics and oral small molecules) ...
Ductal carcinoma in situ (DCIS) is a non-invasive breast cancer spanning a biologic continuum from a...
BACKGROUND: Psoriasis and Crohn's disease (CD) are chronic inflammatory diseases that involve comple...
In the field of medical imaging equipment, fault diagnosis plays a vital role in guaranteeing stable...
This paper suggests a novel optimal inverse Radial Basis Function (RBF) neural network model for the...
Fundamental to the diverse biological functions of RNA are its 3D structure and conformational flexi...
Existing approaches to diffusion-based inverse problem solvers frame the signal recovery task as a...
Image registration is a core task in computational anatomy that establishes correspondences betwee...
Procedural Content Generation (PCG) is powerful in creating high-quality 3D contents, yet controll...
Rendering and inverse rendering are pivotal tasks in both computer vision and graphics. The render...
Many inverse problems are ill-posed and need to be complemented by prior information that restrict...
In real-world scenarios, complex data such as multispectral images and multi-frame videos inherent...
A challenge in high-dimensional inverse problems is developing iterative solvers to find the accur...
Protein inverse folding is a fundamental problem in bioinformatics, aiming to recover the amino ac...
Image inverse problems have numerous applications, including image processing, super-resolution, a...
Many optimization problems require hyperparameters, i.e., parameters that must be pre-specified in...