Results 181 to 190 of about 3,089,659 (273)

Relationship Between GLIM‐Defined Malnutrition and Postoperative Outcomes After Curative Resection in Patients With Gastroenterological Cancer: Update Systematic Review and Meta‐Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
GLIM‐defined malnutrition probably worsens overall survival in patients with gastroenterological cancer after surgery. ABSTRACT Background In cancer patients, malnutrition worsens postoperative outcomes, with increased complications and poor prognosis.
Ryota Matsui   +4 more
wiley   +1 more source

Primary Tumor Resection in Patients With Unresectable Metastatic Colorectal Cancer: A Systematic Review and Meta‐Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This systematic review and meta‐analysis evaluated the role of primary tumor resection (PTR) in asymptomatic patients with unresectable metastatic colorectal cancer. Across 17 eligible studies including 9317 patients, PTR did not improve overall or progression‐free survival compared with chemotherapy alone.
Junpei Takashima   +3 more
wiley   +1 more source

Toxicity Profile of New Therapies in Metastatic Urothelial Carcinoma and Its Impact on Treatment Selection. [PDF]

open access: yesCancers (Basel)
Guerrero P   +10 more
europepmc   +1 more source

Association of a Multimodal Perioperative Care Program With Postoperative Complications in Elderly Patients Undergoing Gastrectomy for Gastric Cancer

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
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

Efficacy and safety of HL-301 compared with erdosteine in acute bronchitis: a randomized, double-blind, non-inferiority trial. [PDF]

open access: yesKorean J Intern Med
Moon JY   +12 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Geographical Accessibility Does Not Affect Prognosis After Living‐Donor Liver Transplantation

open access: yes
Annals of Gastroenterological Surgery, EarlyView.
Kyohei Yugawa   +3 more
wiley   +1 more source

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

open access: yesAdvanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen   +6 more
wiley   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

open access: yesAdvanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz   +4 more
wiley   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah   +3 more
wiley   +1 more source

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