98%
921
2 minutes
20
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jhep.2023.01.004 | DOI Listing |
Gastric Cancer
September 2025
Department of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Background: Immune checkpoint inhibitors (ICIs) play a pivotal role in the treatment of advanced gastric cancer (GC). However, the biomarkers used to predict ICI efficacy are limited due to their reliance on single or static tumor characteristics. This study aims to develop a machine learning (ML) model that incorporates dynamic changes in clinlabomics data to optimize the predictive accuracy of ICI efficacy.
View Article and Find Full Text PDFPediatr Surg Int
September 2025
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang Province, 310018, People's Republic of China.
J Robot Surg
September 2025
Orlando Health Advanced Robotic Surgery Center, Orlando, FL, USA.
Teleproctoring offers a remote alternative to traditional surgical mentoring, addressing logistical barriers in robotic surgery education. We conducted a prospective trial to assess the feasibility and trainee perception of teleproctoring using the Proximie platform. Eighteen surgeons with limited robotic experience performed a standardized enterotomy closure on synthetic bowel models using the da Vinci Si system, while receiving real-time remote guidance from an expert located 2570 km away.
View Article and Find Full Text PDFMed Teach
September 2025
NordSim, Center for Skills Training and Simulation, Aalborg University Hospital, Aalborg, Denmark.
Background: Assessing skills in simulated settings is resource-intensive and lacks validated metrics. Advances in AI offer the potential for automated competence assessment, addressing these limitations. This study aimed to develop and validate a machine learning AI model for automated evaluation during simulation-based thyroid ultrasound (US) training.
View Article and Find Full Text PDFJ Chem Inf Model
September 2025
Key Laboratory of Micro-nano Sensing and IoT of Wenzhou, Wenzhou Institute of Hangzhou Dianzi University, Wenzhou 325038, China.
Transcription factors (TFs) are essential proteins that regulate gene expression by specifically binding to transcription factor binding sites (TFBSs) within DNA sequences. Their ability to precisely control the transcription process is crucial for understanding gene regulatory networks, uncovering disease mechanisms, and designing synthetic biology tools. Accurate TFBS prediction, therefore, holds significant importance in advancing these areas of research.
View Article and Find Full Text PDF