Results 141 to 150 of about 217,226 (371)
New Biologic and Small Molecule Therapies for Hidradenitis Suppurativa
JEADV Clinical Practice, EarlyView.ABSTRACT Hidradenitis suppurativa (HS) is an inflammatory skin disease that has historically been underdiagnosed and, until recently, under‐researched. Furthermore, the pathophysiology of HS is complex, and not fully understood. Just three biologic medications—adalimumab (anti‐TNF‐α), secukinumab (anti‐IL17A) and bimekizumab (anti‐IL17A/F) are licensed
Emily Pender +2 more
wiley +1 more source
Observer Design for n + m Linear Hyperbolic ODE-PDE-ODE Systems [PDF]
, 2022 Jean Auriol, Federico Bribiesca Argomedo
openalex +1 more source
PDE-DKL: PDE-constrained deep kernel learning in high dimensionality
Many physics-informed machine learning methods for PDE-based problems rely on Gaussian processes (GPs) or neural networks (NNs). However, both face limitations when data are scarce and the dimensionality is high. Although GPs are known for their robust uncertainty quantification in low-dimensional settings, their computational complexity becomes ...
Yan, Weihao +2 more
openaire +3 more sources
Do Medication Beliefs Influence Adherence to Topical Therapies in Patients With Atopic Dermatitis?
JEADV Clinical Practice, EarlyView.ABSTRACT Background Atopic dermatitis (AD) is a chronic inflammatory skin condition affecting 10–20% of the global population and is characterized by red, itchy, and dry skin. While consistent medication adherence is necessary for adequate management of AD, patients' adherence to topical therapies can decline by 70% within initial days of treatment ...
Vivien Wen Ting Tai +3 more
wiley +1 more source
Error estimates for splitting methods based on AMF-Runge-Kutta formulas for the time integration of advection diffusion reaction PDEs [PDF]
, 2015 Severiano González Pinto +2 more
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LE-PDE++: Mamba for accelerating PDEs Simulations
Partial Differential Equations are foundational in modeling science and natural systems such as fluid dynamics and weather forecasting. The Latent Evolution of PDEs method is designed to address the computational intensity of classical and deep learning-based PDE solvers by proposing a scalable and efficient alternative.
Liang, Aoming +5 more
openaire +2 more sources
Bit Complexity of Computing Solutions for Symmetric Hyperbolic Systems\n of PDEs with Guaranteed Precision [PDF]
, 2018 Svetlana Selivanova, Victor Selivanov
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Medicinal Research Reviews, EarlyView.ABSTRACT Alzheimer's disease (AD) is a debilitating neurodegenerative condition characterized by progressive cognitive impairment, memory deterioration, and neuronal dysfunction. Its complex pathophysiology involves multiple interlinked processes, including amyloid‐β (Aβ) aggregation, tau hyperphosphorylation, oxidative stress, neuroinflammation ...
Amandeep Thakur +6 more
wiley +1 more source
Sub-Predictors and Classical Predictors for Finite-Dimensional Observer-Based Control of Parabolic PDEs [PDF]
, 2021 Rami Katz, Emilia Fridman
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MetalMat, EarlyView.This review provides the latest advancement on lead‐free all‐inorganic perovskites, covering fundamental aspects, emerging synthetic routes, and scintillation properties. We highlight the dopant engineering strategy to favor the formation and efficient radiative recombination of self‐trapped excitons and the future development direction for the next ...
Galfin Anderias Adu +6 more
wiley +1 more source