Results 101 to 110 of about 1,171,440 (255)

Understanding and Overcoming Immunotherapy Resistance in Skin Cancer: Mechanisms and Strategies

Aging and Cancer, EarlyView.
This narrative review explores the mechanisms driving immunotherapy resistance in skin cancer, including tumor microenvironment factors, genetic mutations, and immune evasion strategies. It highlights potential strategies to overcome resistance, offering insights for improving therapeutic outcomes and guiding future research in personalized ...
Shreya Singh Beniwal, Abhimanyu Chiraparambil Radhakrishnan, Ayanchetty Haripraba, Saif Syed, Gajawada Pragna, Ayush Dwivedi, Akash Rawat, Daniela Castro Calderón, Martin Cevallos‐Cueva   +8 more
wiley   +1 more source

Energy exchange in fast optical soliton collisions as a random cascade model [PDF]

arXiv, 2007
We study the dynamics of a probe soliton propagating in an optical fiber and exchanging energy in fast collisions with a random sequence of pump solitons. The energy exchange is induced by Raman scattering or by cubic nonlinear loss/gain. We show that the equation describing the dynamics of the probe soliton's amplitude has the same form as the ...
arxiv  

The edge visualization metric: Quantifying the improvement of lung SBRT target definition with 4D CBCT

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Four‐dimensional cone‐beam CT (4D CBCT) incorporates oversampling of 3D data to reconstruct multi‐phase CBCT data sets representing distinct phases of the breathing cycle based on a diaphragmatic correlate of respiratory motion. Motion artifacts and blurring can be reduced relative to three‐dimensional cone‐beam (3D CBCT), allowing ...
Colton Baley, Sam Andersen, Clark Anderson, Shraddha Dalwadi, Daniel L. Saenz   +4 more
wiley   +1 more source

Biologically Inspired Dynamic Textures for Probing Motion Perception [PDF]

arXiv, 2015
Perception is often described as a predictive process based on an optimal inference with respect to a generative model. We study here the principled construction of a generative model specifically crafted to probe motion perception. In that context, we first provide an axiomatic, biologically-driven derivation of the model.
arxiv  

Producing high quality cranial SRS plans with 4Pi planning technique in a commercial clinical solution

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To generate high‐quality stereotactic radiosurgery (SRS) plans for single cranial lesions using 4Pi planning technique and compare these to our clinical “status quo” plans. Methods Eighteen vestibular schwannoma (VS) patients previously planned with Varian Eclipse RapidArc and treated on a Varian TrueBeam using 6FFF MV photon beams ...
Ganesh Narayanasamy, Nishan Shrestha, Milan Bimali, Fen Xia, Zhong Su   +4 more
wiley   +1 more source

Periodontal conditions in patients with Sjögren's syndrome: A meta-analysis

Journal of Dental Sciences, 2021
Sjögren's syndrome (SS) is a chronic autoimmune rheumatic disease characterized by a progressive lymphocytic infiltration of salivary glands, resulting in xerostomia and other oral diseases.
Shih-Yun Wu, Ching-Yi Wu, Ming-Han Chen, Hsin-Yi Huang, Yu-hsuan Chen, Yen-Po Tsao, Yu-Lin Lai, Shih-Yuan Lee   +7 more
doaj  

Glycosylation Gene Signatures as Prognostic Biomarkers in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioblastoma (GBM) is an aggressive brain tumor characterized by significant heterogeneity. This study investigates the role of glycosylation‐related genes in GBM subtyping, prognosis, and response to therapy. Methods We analyzed mRNA expression data and clinical information from The Cancer Genome Atlas (TCGA) and Gene Expression ...
Tong Zhao, Hongliang Ge, Chenchao Lin, Xiyue Wu, Jianwu Chen   +4 more
wiley   +1 more source

Interactive Agent Modeling by Learning to Probe [PDF]

arXiv, 2018
The ability of modeling the other agents, such as understanding their intentions and skills, is essential to an agent's interactions with other agents. Conventional agent modeling relies on passive observation from demonstrations. In this work, we propose an interactive agent modeling scheme enabled by encouraging an agent to learn to probe.
arxiv  

Precision‐Optimised Post‐Stroke Prognoses

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope, Howard Bowman, Rachel M. Bruce, Alex P. Leff, Cathy J. Price   +4 more
wiley   +1 more source

The Bathroom Model: A Realistic Approach to Hash Table Algorithm Optimization [PDF]

arXiv
Hash table search strategies have remained a pivotal area of inquiry in computer science over the past several decades. A prevailing viewpoint asserts that random probing stands as the optimal method for open-addressing hash tables. Challenging this long-standing belief, a recent contribution introduces an elastic probing technique based on fixed ...
arxiv