Results 201 to 210 of about 3,002 (288)

Shared and specific molecular mechanisms of proteasome inhibitors in chemotherapy‐induced peripheral neurotoxicity

British Journal of Pharmacology, EarlyView.
This study compares the molecular mechanisms of chemotherapy‐related peripheral neurotoxicity of two proteasome inhibitors, bortezomib and carfilzomib, using a multidisciplinary approach to reveal that, alongside shared effects on mitochondria structure and function, the more neurotoxic drug BTZ has specific effects on microtubules and mitochondrial ...
Federico Iseppon, Alessio Malacrida, Alessia Chiorazzi, Annalisa Canta, Paola Alberti, Valentina Alda Carozzi, Eleonora Pozzi, Virginia Rodriguez‐Menendez, Laura Cherchi, Valentina Fabbro, Lisa Pagani, Elisa Tonelli, Laura Tapella, Andrea Mattarei, Sara Palermo, Daniele Cartelli, Mario Mauri, Noemi Scimia, Serena Stanga, Dmitry Lim, Carla Distasi, Marta Delconti, Clizia Chinello, Patricia Morcillo, Maria Elena Pero, Francesca Bartolini, Guido Cavaletti, Cristina Meregalli   +27 more
wiley   +1 more source

Haemostatic changes and bleeding with anti‐IL‐6 directed therapy in autoimmune diseases

British Journal of Pharmacology, EarlyView.
Abstract Anti‐IL‐6 directed therapy, especially tocilizumab (TCZ), is widely used for the treatment of autoimmune diseases such as rheumatoid arthritis, giant cell arteritis and systemic juvenile idiopathic arthritis. Next to being a master regulator of inflammation, IL‐6 also is an important regulator of haemostasis. Although generally well tolerated,
Charlotte D. C. C. van der Heijden, Loes C. Oskam, Lenny van Bon, Chantal P. Rovers   +3 more
wiley   +1 more source

A projection-based inverse kinematic model for extensible continuum robots and hyper-redundant robots with an elbow joint. [PDF]

Front Robot AI
Fritsch S, Oberschmidt D.
europepmc   +1 more source

Hierarchical Differentiable Fluid Simulation

Computer Graphics Forum, EarlyView.
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong, Arnaud Schoentgen, Damien Rioux‐Lavoie, Paul G. Kry, Derek Nowrouzezahrai   +4 more
wiley   +1 more source

Optimized inverse kinematics solutions for a 6-DOF robot. [PDF]

Sci Rep
Bayoume MO, Abdelgeliel M, Saber E, El-Gamal H.   +3 more
europepmc   +1 more source

Multi‐Spectral Gaussian Splatting with Neural Color Representation

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer, Josef Grün, Maximilian Weiherer, Bernhard Egger, Marc Stamminger, Linus Franke   +5 more
wiley   +1 more source

Recent advances in Rapidly-exploring random tree: A review. [PDF]

Heliyon
Xu T.
europepmc   +1 more source

Self‐supervised Learning of Fine‐to‐Coarse Cuboid Shape Abstraction

Computer Graphics Forum, EarlyView.
Abstract The abstraction of 3D objects with simple geometric primitives like cuboids allows us to infer structural information from complex geometry. It is important for 3D shape understanding, structural analysis and geometric modeling. We introduce a novel fine‐to‐coarse self‐supervised learning approach to abstract collections of 3D shapes.
Gregor Kobsik, Morten Henkel, Yanjiang He, Victor Czech, Tim Elsner, Isaak Lim, Leif Kobbelt   +6 more
wiley   +1 more source

Skeletal‐Driven Animation of Anatomical Humans via Neural Deformation Gradients

Computer Graphics Forum, EarlyView.
Abstract Most real‐time animation techniques for digital humans are limited to deforming the outer skin surface. Geometric skinning methods are highly efficient but struggle with artifacts such as collapsing joints or self‐intersections when animating inner anatomy along with the outer skin.
G. Nolte, F. Kemper, U. Schwanecke, M. Botsch   +3 more
wiley   +1 more source

Visual Ensemble Analysis With Deep Learning Prediction for Studying the Effect of Tissue Properties on Radiofrequency Ablation

Computer Graphics Forum, EarlyView.
We present an interactive visual analysis tool to study how patient‐specific tissue properties influence radiofrequency ablation outcomes. Using a deep‐learning surrogate model, we predict ablation volumes for unseen parameter settings with accuracy superior to interpolation, supporting improved treatment planning. Abstract Radiofrequency (RF) ablation
R. Sabbagh Gol, M. Evers, K. Heimes, T. Gerrits, S. Gyawali, D. Sinden, T. Preusser, L. Linsen   +7 more
wiley   +1 more source