Results 151 to 160 of about 16,073 (260)

Commissioning and performance evaluations of the electron Monte Carlo algorithm in a new commercial treatment planning system

Journal of Applied Clinical Medical Physics, Volume 27, Issue 8, August 2026.
Abstract Purpose This study provides a comprehensive evaluation of the newly implemented electron Monte Carlo dose calculation algorithm in the commercial treatment planning system, uTPS. It investigates the performance of the algorithm by examining its dosimetric accuracy and calculation speed, which have not been previously reported in the literature.
Feng Wang, Xuming Jiang, Zhi Shi, Yanfang Liu, Yibin Zhang, Jiayi Chen   +5 more
wiley   +1 more source

Outcomes of Acute Achilles Tendon Repair with Platelet-Rich Plasma Augmentation: A Comprehensive Review of Comparative Studies. [PDF]

J Clin Med
Mercurio M, Benedetto GL, Parrotta EI, Cuda G, Paola L, Cofano E, Longo UG, Cerciello S, Gasparini G.   +8 more
europepmc   +1 more source

End‐to‐end deep learning pipeline for automated IMRT planning in lymphoma: Feasibility and limitations

Journal of Applied Clinical Medical Physics, Volume 27, Issue 8, August 2026.
Abstract Background Intensity‐modulated radiation therapy (IMRT) is widely used for lymphoma because a multileaf collimator (MLC) can sculpt dose around irregular targets. Planning, however, is time‐consuming and difficult to standardize. Fluence map prediction (FMP) using deep learning (DL) could potentially be used to automate planning, but it has ...
Denis Kutnár, Ivan Richter Vogelius, Hristo Atanasov Georgiev, Katrin Elisabet Håkansson, Lena Specht, Jens Petersen   +5 more
wiley   +1 more source

gLeiden: accelerated community detection algorithms using directed and undirected graphs on GPUs. [PDF]

Bioinform Adv
Gul B, Murach M, Bekarinov S, Skadron K.
europepmc   +1 more source

From Label‐Free Multiphoton Imaging to Pathological Reports: A Vision‐Language Breast Cancer Margin Pathological Diagnosis System

Advanced Science, Volume 13, Issue 45, 13 August 2026.
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang, Jingze Su, Xiahui Han, Deyong Kang, Xiao Zhang, Fei Xu, Changzu Liu, Junlin Pan, Xingfu Wang, Qiaohui Zhan, Aimin Wang, Feng Huang, Heping Cheng, Wenxi Liu, Ruolan Lin, Jianxin Chen   +15 more
wiley   +1 more source

High performance GPU implementation of KNN algorithm: A review. [PDF]

MethodsX
Bidye P, Borkar P, Rakesh N.
europepmc   +1 more source

Reliable Identification and Out‐of‐Library Detection in Mass Spectra

Journal of Chemometrics, Volume 40, Issue 8, August 2026.
ABSTRACT Accurate molecular identification from mass spectra is essential in analytical workflows, yet conventional library search typically returns the closest match even when the true compound is absent, leading to overconfident false positives. We propose a probabilistic framework that supports both reliable identification of compounds represented ...
Minsu Son, Hyoju Kim, Hyungjun Kim, Youngho Jin, Jaeoh Kim   +4 more
wiley   +1 more source

Accuracy and Efficiency Benchmarks of Pretrained Machine Learning Potentials for Molecular Simulations. [PDF]

J Chem Theory Comput
Eastman P, Pretti E, Markland TE.
europepmc   +1 more source

Using the C++ Sender Asynchronous Programming Model in the Implementation of Efficient Epidemiological Simulations

Concurrency and Computation: Practice and Experience, Volume 38, Issue 15, August 2026.
ABSTRACT This paper evaluates the C++ Sender Programming Model for heterogeneous parallel computing, using an Agent‐Based epidemiological simulator as a case study. Conventional simulations rely on proprietary frameworks like CUDA, creating vendor lock‐in. To assess the Sender Model as a portable alternative, we implement an SEIRS dengue simulator that
Pablo Alessandro Santos Hugen, Guilherme Galante, Rogério Luis Rizzi   +2 more
wiley   +1 more source

CCC-GPU: a graphics processing unit (GPU)-accelerated nonlinear correlation coefficient for large-scale transcriptomic analyses. [PDF]

Bioinformatics
Zhang H, Fotso KT, Subirana-Granés M, Pividori M.   +3 more
europepmc   +1 more source