Computational and mathematical methods in medicine
Feb 12, 2022
Gastric cancer is still the fifth most common malignant tumor in the world and has the fourth highest mortality rate in the world. Gastric cancer is difficult to treat because of its unobvious onset, low resection rate, and rapid deterioration. There...
INTRODUCTION: Robotic gastrectomy (RG) is a good alternative to laparoscopic gastrectomy, as it improves treatment outcomes and reduces the burden of technical difficulties; however, prolonged operative time may be a disadvantage. This study aimed to...
PURPOSE: We aimed to develop a noninvasive artificial intelligence (AI) model to diagnose signet-ring cell carcinoma (SRCC) of gastric cancer (GC) and identify patients with SRCC who could benefit from postoperative chemotherapy based on preoperative...
Computational and mathematical methods in medicine
Jan 19, 2022
This study was aimed at investigating the location of gastric cancer by using a gastroscope image based on an artificial intelligence algorithm for gastric cancer and the effect of ultrasonic-guided nerve block combined with general anesthesia on pat...
Robot-assisted total gastrectomy for gastric cancer is a demanding operation that is increasingly being performed, not only in Asia but also in specialised centres in Europe. The minimally invasive resection - and above all the lymphadenectomy and th...
Signet ring cell carcinoma (SRCC) is a malignant tumor of the digestive system. This tumor has long been considered to be poorly differentiated and highly invasive because it has a higher rate of metastasis than well-differentiated adenocarcinoma. Bu...
SLAS discovery : advancing life sciences R & D
Dec 17, 2021
BACKGROUND: Increasing evidence suggests the immunomodulatory potential of genes in oncology. But the identification of immune attributes of genes is costly and time-consuming, which leads to an urgent demand to develop a prediction model.
This study presents a survival stratification model based on multi-omics integration using bidirectional deep neural networks (BiDNNs) in gastric cancer. Based on the survival-related representation features yielded by BiDNNs through integrating tr...
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