Results 151 to 160 of about 177,813 (314)

Survival Outcomes of Esophageal Squamous Cell Carcinoma Patients Who Underwent Salvage Esophagectomy: A Literature Review and Results From Two High‐Volume Centers

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study aimed to investigate survival outcomes, the efficacy of lymph node (LN) dissection, and recurrence patterns in 69 patients who underwent R0 salvage surgery for esophageal squamous cell carcinoma. Of note, abdominal LN metastases had a negative impact on survival in our series.
Kotaro Sugawara   +9 more
wiley   +1 more source

Fluorescence Guided Surgery in Gastric Cancer: What Do We Have and What Can We Do?

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background and Objective Fluorescence imaging has emerged as a valuable adjunct in gastric surgery, enhancing resection precision and oncologic outcomes. However, the use of indocyanine green (ICG) remains controversial due to uncertainties in efficacy and administration. A lack of standardized protocols persists.
Chun Zhuang, Han‐Kwang Yang
wiley   +1 more source

Cell Membrane‐Coated Lipid Nanoparticles for Drug Delivery

open access: yesAggregate, EarlyView.
This review highlights recent progress in cell membrane‐coated lipid nanoparticles (CMC‐LNPs), focusing on their design, preparation methods, functional integration, and biomedical applications. It discusses various types of LNPs and coating strategies, characterization techniques, therapeutic functions, and applications.
Moataz B. Zewail   +5 more
wiley   +1 more source

Multifunctional Framework Nucleic Acid Vehicle for Antibiotic Sensitization and Treatment of Methicillin‐Resistant Staphylococcus aureus

open access: yesAggregate, EarlyView.
A self‐assembling, aggregation‐enhanced tetrahedral DNA nanostructure (tFNA), termed TACs, enables localized accumulation and sustained release of ceftriaxone while co‐delivering antisense oligonucleotides that silence mecA, reduce PBP2a expression, and restore β‐lactam susceptibility in MRSA.
Yicheng Zhao   +10 more
wiley   +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

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