Results 71 to 80 of about 3,407,224 (247)

Profiling the effect of low frequency mechanical vibration on the metabolic and oxidative stress responses of A431 carcinoma

FEBS Open Bio, EarlyView.
20 Hz mechanical vibration induced A431 cancer cells' apoptosis without such effect on other healthy cell lines of L929 and C2C12. Lowered glucose consumption is observed specifically in A431. The expressions of ROS, HMGB1, and HSP1 levels initially increase and subsequently decrease in the cancer cell line, as opposed to L929 and C2C12, which ...
Wresti L. Anggayasti, Chikahiro Imashiro, Takashi Morikura, Shogo Miyata, Akira Funahashi, Kenjiro Takemura   +5 more
wiley   +1 more source

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

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

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 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

Dosimetric effect of silicone‐based gel on skin surface during volumetric modulated arc therapy for breast cancer

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aims to quantify and compare the dosimetric effects of varying thicknesses of StrataXRT, a silicone‐based gel, and other topical agents on the skin surface during volumetric modulated arc therapy (VMAT) for breast cancer.
Tenyoh Suzuki, Shingo Ohira, Mami Ogita, Takeshi Ohta, Yuki Nozawa, Masanari Minamitani, Takuya Hayashi, Shigeki Saegusa, Toshikazu Imae, Tsuyoshi Ueyama, Atsuto Katano, Hideomi Yamashita, Weishan Chang, Keiichi Nakagawa   +13 more
wiley   +1 more source

The impact of ICT goods exports and environmental technology innovation on mineral rents: Evidence from OECD countries. [PDF]

PLoS One
Dou S, Dong M, Shi J, Sadowski BM, Gbolo SS.   +4 more
europepmc   +1 more source

2009年度　環境物質工学科研究報告 [PDF]

, 2010
Faculty of Environmental Science and Technology, Okayama University,
core  

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source