Results 141 to 150 of about 676,025 (245)
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana +9 more
wiley +1 more source
Implementation of a multimodal perioperative care program and reduction of postoperative complications. ABSTRACT Purpose This retrospective study aimed to assess the clinical effectiveness of a multimodal perioperative care program in reducing postoperative complications in elderly patients undergoing gastrectomy for gastric cancer.
Keiichi Fujiya +13 more
wiley +1 more source
Surgical resection for CRLM seems to be as effective in elderly patients aged ≥ 80 as in nonelderly patients. However, elderly patients aged ≥ 80 had significantly worse cancer‐specific survival (CSS) and overall survival (OS). The significantly worse CSS and OS may have resulted from a lower rate of treatment for recurrence in elderly patients aged ...
Kiichi Sugimoto +7 more
wiley +1 more source
Abstract Recent trends show an alarming rise in pancreatic cancer prevalence among young individuals. Previous studies have presented differences in age at diagnosis. The study aimed to examine the likelihood of a younger age at diagnosis in individuals exposed to known risk factors, compared with those without exposure.
Ro‐Ting Lin +6 more
wiley +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie +12 more
wiley +1 more source
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk +4 more
wiley +1 more source
Maternal Milk Allopregnanolone May Buffer Negative Associations Between Maternal Postpartum Psychological Distress and Infant Regulatory Capacity. [PDF]
Werchan DM +5 more
europepmc +1 more source
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
From uniform to belonging: how fashion imagery of school uniforms shapes students' psychological capital via social identification. [PDF]
Di Y, Liu L, Zhang Y.
europepmc +1 more source

