Results 191 to 200 of about 1,013,680 (237)

Short peptide perturbs spermatogenesis via immune microenvironment dysregulation and mitochondrial imbalance

FEBS Open Bio, EarlyView.
In the blood–testis barrier, occludin is crucial for tight junctions. This study demonstrates that occludin‐targeting short peptides disrupt junction integrity, inducing immune cell infiltration, tumor necrosis factor‐α/interleukin‐6 secretion and mitochondrial dysfunction, ultimately triggering apoptosis.
Heng Wang, Xiaofang Tan, Deyu Chen
wiley   +1 more source

Precipitation Estimation Using L-Band and C-Band Soil Moisture Retrievals. [PDF]

Water Resour Res, 2016
Koster RD, Brocca L, Crow WT, Burgin MS, De Lannoy GJM.   +4 more
europepmc   +1 more source

Aging‐Driven Blood–Brain Barrier Dysfunction and Its Impact on CNS Cancer Susceptibility: A Comprehensive Narrative Review

Aging and Cancer, EarlyView.
Aging weakens the blood–brain barrier (BBB), increasing susceptibility to CNS cancers and complicating treatment. This review examines BBB deterioration, its impact on drug delivery, and potential interventions like targeting neuroinflammation and advanced therapies.
Quang La, Aiman Baloch, David F. Lo
wiley   +1 more source

Polarisation-preserving photon frequency conversion from a trapped-ion-compatible wavelength to the telecom C-band. [PDF]

Appl Phys B, 2017
Krutyanskiy V, Meraner M, Schupp J, Lanyon BP.   +3 more
europepmc   +1 more source

Multi‐institutional study on image quality for a novel CBCT solution on O‐ring linac

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction This work presents a multi‐institutional study on image quality provided by a novel cone beam computed tomography (CBCT). The main goal is to investigate the consistency of imaging performance across multiple institutions.
Luis Agulles‐Pedrós, R. Lee MacDonald, Amanda Jean Cherpak, Nayha Dixit, Lei Dong, Tianyu Zhao, Kundan Thind, Anthony Doemer, Boon‐Keng Teo, Shiqin Su, Alexander Moncion, James L. Robar   +11 more
wiley   +1 more source

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Monte Carlo modeling of radiation dose from radiation therapy with superficial x‐rays

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Superficial x‐rays (50–100 kVp) are used for treating non‐melanoma skin cancer and intraoperative radiation therapy (IORT). At these energies, the photoelectric effect significantly increases absorbed dose to bone compared to soft tissue.
Reham Barghash, Tiffany W. Martin, Amber R. Prebble, Del Leary   +3 more
wiley   +1 more source

Geometric and dosimetric evaluation of a commercial AI auto‐contouring tool on multiple anatomical sites in CT scans

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan, Alexandra Quinn, Patrick Horsley, Joseph Chan, Maegan Stewart, Regina Bromley, Jeremy Booth   +6 more
wiley   +1 more source

Position‐dependent offset corrections for ring applicator reconstruction in cervical cancer brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Due to the tight curvature in their design, ring applicators are usually associated with large positioning errors. The standard practice to correct for these deviations based on global offsets may not be sufficient to comply with the recommended tolerance.
Leon G. Aldrovandi, Matthias E. T. Dessein, Shelley M. Pearson, Shelley M. Bulling   +3 more
wiley   +1 more source

Fast, automated optimization of virtual monoenergetic images with the dual‐energy image synthesizer for cone‐beam CT

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Dual‐energy cone‐beam CT (DE‐CBCT) has become subject of recent interest due to the ability to produce virtual monoenergetic images (VMIs) with improved soft‐tissue contrast and reduced nonuniformity artifacts. However, efficient production and optimization of VMIs remains an under‐explored part of DE‐CBCT's application.
Andrew Keeler, Jason Luce, Mathias Lehmann, John C. Roeske, Hyejoo Kang   +4 more
wiley   +1 more source