Results 241 to 250 of about 12,340,531 (359)

Image display for clinicians on medical record workstations

, 1997
Bradley J. Erickson, William J. Ryan, Dale G. Gehring, Calvin E Beebe   +3 more
openalex   +2 more sources

Polydatin ameliorates ovalbumin‐induced asthma in a rat model through NCOA4‐mediated ferroautophagy and ferroptosis pathway

FEBS Open Bio, EarlyView.
In this research, a rat model of asthma was created using OVA, and polydatin served as an intervention. By inhibiting ferroautophagy mediated by NCOA4 and averting ferroptosis, polydatin has been demonstrated to reduce asthma. This work presents new ideas for investigating the mechanism of polydatin's ability to alleviate asthma, in addition to ...
Wei Li, Yuwei Tang, Wenkang Liu, Fang Fang, Jiepeng Wang, Chaoyi Fang   +5 more
wiley   +1 more source

Application of artificial intelligence in medical imaging for tumor diagnosis and treatment: a comprehensive approach. [PDF]

Discov Oncol
Huang J, Xiang Y, Gan S, Wu L, Yan J, Ye D, Zhang J.   +6 more
europepmc   +1 more source

A new filtering algorithm for medical magnetic resonance and computer tomography images

, 1999
Erich Stoll, Christian Stern, Peter Stucki, Simon Wildermuth   +3 more
openalex   +2 more sources

High LRIG1 expression predicts lymph node metastasis in patients with uterine cervical cancer

FEBS Open Bio, EarlyView.
Lymph node status is crucial in determining treatment for women with early‐stage cervical cancer. We demonstrate that high LRIG1 protein expression in primary tumors can predict lymph node metastases. Our findings support further investigation of LRIG1 as a biomarker to improve staging accuracy and guide treatment decisions in cervical cancer patients.
Pernilla Israelsson, Lisa Lif, Husam Oda, Alexandra Lorenzzi de Melo, David Lindquist, Håkan Hedman   +5 more
wiley   +1 more source

Correction: Checklist for Reproducibility of Deep Learning in Medical Imaging. [PDF]

J Imaging Inform Med
Moassefi M, Singh Y, Conte GM, Khosravi B, Rouzrokh P, Vahdati S, Safdar N, Moy L, Kitamura F, Gentili A, Lakhani P, Kottler N, Halabi SS, Yacoub JH, Hou Y, Younis K, Erickson BJ, Krupinski E, Faghani S.   +18 more
europepmc   +1 more source

Mammo web continuing medical education (CME): A web-based breast imaging CME program

, 1999
Thorsten Krebs, Wendie A. Berg, Stephen R. Roys, Sridevi Ratakonda, Stephen M. Pomerantz, Eliot L. Siegel   +5 more
openalex   +2 more sources

Downregulation of sST2, a decoy receptor for interleukin‐33, enhances subcutaneous tumor growth in murine pancreatic cancer cells

FEBS Open Bio, EarlyView.
Subcutaneous implantation of murine Panc02 pancreatic cancer cells depleted of sST2, a soluble decoy receptor for the proinflammatory interleukin‐33 (IL‐33), leads to a decreased number of GLUT4‐positive cancer‐associated adipocytes, reduced levels of the anti‐inflammatory molecule adiponectin, increased phosphorylation of IκBα, elevated Cxcl3 ...
Miho Akimoto, Nobuko Koshikawa, Takao Morinaga, Mimi Tamamori‐Adachi, Atsushi Takatori, Keizo Takenaga   +5 more
wiley   +1 more source

Scintillator developments for high energy physics and medical imaging [PDF]

, 2000
P. Lecoq, M. Korzhik
openalex   +1 more source

Microbial profile of the appendix niche in acute appendicitis: a novel sampling approach

FEBS Open Bio, EarlyView.
This study utilized a novel sampling method, ERAT (i.e. endoscopic retrograde appendicitis treatment)‐guided lumen aspiration, to obtain samples from the appendix, and shotgun metagenomic sequencing was performed for in situ characterization of the appendix microbiome in patients with acute appendicitis.
Huimin Ma, Mingfei Wang, Yanhu Feng, Wanqi Zhang, Wenbo Wang, Yanfeng Xie, Guixiang Kong, Jie Feng, Pengfei Wang, Qi Wang, Xiaojun Huang   +10 more
wiley   +1 more source