Results 301 to 310 of about 478,988 (359)
Minimally Invasive Esophagectomy for Esophageal Cancer: Current Evidence and Future Perspectives
ABSTRACT Aim Esophageal cancer is a highly aggressive malignancy with regional variations in histological subtypes. Adenocarcinoma predominates in Western countries, whereas squamous cell carcinoma is more common in Asia. Despite advances in multimodal therapy, esophagectomy remains the cornerstone of curative treatment, and the development of various ...
Hirotaka Konishi +3 more
wiley +1 more source
HIV-1 and SIV Infection are associated with early loss of lung interstitial CD4+ T cells and dissemination of pulmonary tuberculosis [PDF]
et al,, Khader, Shabaana A
core +1 more source
Perforated colorectal cancer (PCC) is considered to have a poor prognosis; however, it remains unclear whether this is attributable to perforation itself or to perforation‐related clinicopathological factors. In this study, we analyzed prognosis using propensity score matching with perforation‐related factors and demonstrated that perforation is an ...
Yoshiaki Fujii +8 more
wiley +1 more source
This nationwide claims‐based study analyzed recent trends in pancreatic cancer incidence (2016–2021) and surgery (2016–2023) in Japan. The study revealed a rising incidence of pancreatic cancer, notably among young women, and an increasing use of distal pancreatectomy among older adults.
Masamitsu Kido +10 more
wiley +1 more source
ABSTRACT Aim To examine the significance of portal vein tumor thrombus (PVTT) as a prognostic factor for patients with pancreatic ductal adenocarcinoma (PDAC) treated with chemoradiotherapy (CRT) followed by surgery. Methods The study retrospectively examined 313 patients with borderline resectable (BR) or locally advanced (LA) PDAC who underwent CRT ...
Aoi Hayasaki +9 more
wiley +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
A 3D holotomography system coupled with a deep learning model distinguishes how cells die—apoptosis, necroptosis or necrosis—without any fluorescent labels. Training on refractive index maps of HeLa cells yields 97% accuracy and flags necroptosis hours before chemical dyes.
Minwook Kim +8 more
wiley +1 more source
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Molecular and immune biomarker testing in squamous-cell lung cancer: Effect of current and future therapies and technologies [PDF]
Bradley, Jeffrey D, et al,
core +1 more source

