Results 61 to 70 of about 9,815,891 (273)

A reinforcement learning agent for head and neck intensity-modulated radiation therapy

Frontiers in Physics
Head and neck (HN) cancers pose a difficult problem in the planning of intensity-modulated radiation therapy (IMRT) treatment. The primary tumor can be large and asymmetrical, and multiple organs at risk (OARs) with varying dose-sparing goals lie close ...
Hunter Stephens, Xinyi Li, Yang Sheng, Qiuwen Wu, Yaorong Ge, Q. Jackie Wu   +5 more
doaj   +1 more source

Automated Generation of Personalized Shock Wave Lithotripsy Protocols: Treatment Planning Using Deep Learning

JMIR Medical Informatics, 2021
BackgroundThough shock wave lithotripsy (SWL) has developed to be one of the most common treatment approaches for nephrolithiasis in recent decades, its treatment planning is often a trial-and-error process based on physicians’ subjective judgement ...
Chen, Zhipeng, Zeng, Daniel D, Seltzer, Ryan G N, Hamilton, Blake D   +3 more
doaj   +1 more source

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

Molecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche, Niels J. van Ruitenbeek, Charlotte Adang, Luke O'Gorman, Pui Yuen Lee, Willemijn M. Klein, Adriana C. H. van Engen‐van Grunsven, Jack A. Schalken, Sander Bervoets, Gerald W. Verhaegh, Carla M. L. van Herpen   +10 more
wiley   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Prospective blinded clinical evaluation of a fully automated workflow for prostate radiotherapy

Physics and Imaging in Radiation Oncology
Background and purpose: Fully automated workflows integrating deep learning–based segmentation and treatment planning have shown promising results in research settings but require prospective evaluation under routine clinical conditions.
David Neugebauer, Jan-Hendrik Bolten, Hoi H. Lau, Stephan Mende, Tilmann Rackwitz, Thomas Held, Christoph Grott, Johanna Rademacher, Fabian Weykamp, Eva Meixner, Philipp Hoegen-Sassmannshausen, Jürgen Debus, Sebastian Klüter, Jakob Liermann   +13 more
doaj   +1 more source

Personalized Treatment Planning Automation in Prostate Cancer Radiation Oncology: A Comprehensive Dosimetric Study

Frontiers in Oncology, 2021
BackgroundIn radiation oncology, automation of treatment planning has reported the potential to improve plan quality and increase planning efficiency.
Savino Cilla, Carmela Romano, Vittoria E. Morabito, Gabriella Macchia, Milly Buwenge, Milly Buwenge, Nicola Dinapoli, Luca Indovina, Lidia Strigari, Alessio G. Morganti, Alessio G. Morganti, Vincenzo Valentini, Vincenzo Valentini, Francesco Deodato, Francesco Deodato   +14 more
doaj   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Approach and assessment of automated stereotactic radiotherapy planning for early stage non-small-cell lung cancer

BioMedical Engineering OnLine, 2019
Background Intensity-modulated radiotherapy (IMRT) and volumetric-modulated arc therapy (VMAT) are standard physical technologies of stereotactic body radiotherapy (SBRT) that are used for patients with non-small-cell lung cancer (NSCLC).
Xue Bai, Guoping Shan, Ming Chen, Binbing Wang   +3 more
doaj   +1 more source