Results 141 to 150 of about 84,483 (336)

Electrochemical Biosensors for Cancer Biomarker Detection: Basic Concept, Design Strategy and Cutting‐Edge Development

Electrochemical Science Advances, EarlyView.
ABSTRACT Cancer is a result of uncontrolled cell growth with the potential to damage or spread to another part of the body. It is the deadliest disease in the world; therefore, rapid and sensitive detection is essential to fight it. In the past few decades, many diagnosis tools have been developed to detect cancer and monitor therapy progress.
Md Mobarok Karim, Tahera Lasker
wiley   +1 more source

Carcinoembryonic antigen in differential diagnosis of carcinoma of pancreas from chronic pancreatitis. [PDF]

, 1975
J B Dilawari, D Philippakos, Laurence M. Blendis, S. L. Waller   +3 more
openalex   +1 more source

Multifactorial construction of low‐grade and high‐grade endometrial cancer recurrence prediction models

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To analyze independent risk factors for endometrial cancer (EC), a common female cancer globally, and construct individualized prediction models for EC recurrence. Methods The EC patients from the medical record system were divided into low‐grade (n = 392) and high‐grade (n = 183) groups.
Yachai Li, Jia Yan, Yuanmei Deng, Peixuan Wang, Xue Bai, Wei Qin   +5 more
wiley   +1 more source

dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen [PDF]

arXiv
The development of therapeutic antibodies heavily relies on accurate predictions of how antigens will interact with antibodies. Existing computational methods in antibody design often overlook crucial conformational changes that antigens undergo during the binding process, significantly impacting the reliability of the resulting antibodies.
arxiv  

CA199 and CEA expression levels, and minimally invasive postoperative prognosis analysis in esophageal squamous carcinoma patients

Open Medicine
This study explores the factors related to the expression levels of carbohydrate antigen 199 (CA199) and carcinoembryonic antigen (CEA) and their association with poor postoperative prognosis in patients with esophageal squamous cell carcinoma (ESCC) who
Ji Cheng, Ji Lingjia, Wang Fei, Zhang Anping, Shen Liang   +4 more
doaj   +1 more source

CGM2, a Member of the Carcinoembryonic Antigen Gene Family is Down- Regulated in Colorectal Carcinomas [PDF]

, 1994
We have determined the precise chromosomal location, the exon structure, and the expression pattern of CGM2, a member of the carcinoembryonic antigen (CEA) gene family.
Craig, Ian, Neumaier, Michael, Nollau, Peter, Schrewe, Heinrich, Thompson, John A., Weber-Arden, Julia, Willcocks, Teresa, Zimmermann, Wolfgang   +7 more
core  

Comparative study of carcinoembryonic antigen in rheumatoid synovium, tumour, and normal adult lung. [PDF]

, 1977
A Unger, G S Panayi, N Tidman
openalex   +1 more source

Serological Indicators and Survival Analysis of Synaptophysin‐Positive Gastric Cancer Patients: A Retrospective Study

iLABMED, EarlyView.
SYN expression in patients with gastric cancer is correlated with the degree of differentiation and Lauren's typing. The prognosis of SYN‐positive gastric cancer patients is worse than that of SYN‐negative patients. ABSTRACT Background This study aims to determine prognostic indicators of synaptophysin (SYN) positive gastric cancer with neuroendocrine ...
Xuemei Wei, Xu Zhang, Jiaqi Zhang, Lin Zhu, Guanghong Guo   +4 more
wiley   +1 more source

Carcinoembryonic Antigen-Antibody Complexes in a Patient with Colonic Carcinoma and Nephrotic Syndrome [PDF]

, 1973
Mary E. Costanza, Vivian W. Pinn, Robert S. Schwartz, Larry Nathanson   +3 more
openalex   +1 more source

Integrating surface‐enhanced Raman scattering with machine learning: Pioneering a comprehensive diagnostic and therapeutic platform for cancer management

Interdisciplinary Medicine, EarlyView.
Integrating Surface‐Enhanced Raman Scattering (SERS) with machine learning creates a powerful platform for cancer management. This approach enhances diagnostic precision through non‐invasive molecular fingerprinting and enables real‐time therapeutic monitoring. By combining SERS with machine learning, it offers a comprehensive solution for early cancer
Heng‐Zhou He, La Zhang, Yi‐Lin Wen, Yan‐Yang Wang, Jun‐Yan Zhang, Fei‐Hao Yao, Ji‐Yao Yu, Jing‐Xian Wu, Qi‐Ling Peng, Ning Jiang   +9 more
wiley   +1 more source