Results 171 to 180 of about 4,835,110 (353)

Deep Learning Model for Predicting Operative Mortality After Total Gastrectomy: Analysis of the Japanese National Clinical Database (NCD)

Annals of Gastroenterological Surgery, EarlyView.
Deep learning‐based prediction model for operative mortality using the National Clinical Database (NCD). The model achieved a C‐statistic of 0.74. ABSTRACT Background Radical gastrectomy with lymph node dissection is the primary treatment for gastric cancer.
Ryosuke Fukuyo, Hiroyuki Yamamoto, Masanori Tokunaga, Yusuke Kinugasa, Yoshihiro Kakeji, Ken Shirabe   +5 more
wiley   +1 more source

Clinical Features and Prognosis of Cervical Esophageal Cancer. [PDF]

J Clin Med
Ryu DG, Kim K, Liu H, Lee SS, Lee SL.
europepmc   +1 more source

Causes and countermeasures of respiratory failure after surgery for esophageal cancer.

, 1987
Masaharu Nishi, Hideharu Yamanaka, Yoshifumi Hiramatsu, Koshiro Hioki, Masakatsu Yamamoto, M Mima   +5 more
openalex   +2 more sources

Harnessing the Biological Responses Induced by Nanomaterials for Enhanced Cancer Therapy

Aggregate, EarlyView.
Nanomaterial (NM)‐induced toxicity can be strategically repurposed for cancer therapy. This review summarizes the mechanism by which NMs selectively activate specific cellular processes to regulate cell fate independently. We also discussed how NMs‐induced biological responses can be leveraged as therapeutic strategies for cancer treatment.
Liting Wang, Hao Fu, Jiangtao Lin, Meng Zhao, Chuanrong Chen, Hongze Liao, Yourong Duan   +6 more
wiley   +1 more source

Evaluation of Spectral Imaging for Early Esophageal Cancer Detection. [PDF]

Cancers (Basel)
Chang LJ, Chou CK, Mukundan A, Karmakar R, Chen TH, Syna S, Ko CY, Wang HC.   +7 more
europepmc   +1 more source

Spontaneous Ventilation and Epidural Anesthesia in a Patient with a Large Tracheoesophageal Fistula and Esophageal Cancer Undergoing Colon interposition [PDF]

, 1993
G Pittoni, G. Davià, F Toffoletto, G. P. Giron   +3 more
openalex   +1 more source

Multiple Sampling Capsule Robot for Studying Gut Microbiome

Advanced Intelligent Systems, EarlyView.
A multiple sampling capsule robot (MSCR) is developed for longitudinal gut microbiome analysis. Employing electromagnetic field control, the MSCR can locomote actively, precisely align the selected channel, and collect up to six microbiome samples with minimal cross‐contamination.
Sanghyeon Park, Manh Cuong Hoang, Jayoung Kim, Sukho Park   +3 more
wiley   +1 more source

Machine learning-enabled prediction of bone metastasis in esophageal cancer. [PDF]

Front Med (Lausanne)
Liu L, Duan W, She T, Ma S, Wang H, Chen J.   +5 more
europepmc   +1 more source

A CASE OF ESOPHAGEAL CARCINOSARCOMA WITH RECTAL CANCER

, 1980
Hideto SASAKI, Yoshikatsu Okada, Akifumi Yoshimura, Hisao Tamaki, Hiromichi Goshima, Yoshifumi Kawarada, Ryuji Mizumoto   +6 more
openalex   +2 more sources

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source