Results 241 to 250 of about 56,113 (311)

Decoding Undesirable Inflammatory Responses of Nucleic Acid‐Delivering Lipid Nanoparticles

open access: yesAdvanced Science, EarlyView.
Lipid nanoparticles (LNPs) enable efficient nucleic acid delivery, but their immunogenicity is a double‐edged sword. This review explores LNP‐driven innate and adaptive immunity, covering lipid components, endosomal escape, and nucleic acid sensing.
Ruimin Hu   +6 more
wiley   +1 more source

H2S‐Amplified “Three‐in‐One” Antibacterial Strategy for Periodontitis Treatment Using a Photosensitive Pillararene‐Embedded COF/MOF Hybrid

open access: yesAdvanced Science, EarlyView.
The integration of ROS‐generating systems with H2S depletion strategies effectively overcomes the limitations imposed by endogenous antioxidant defenses on ROS‐based antimicrobial therapies. In this study, the Cu‐MOF is incorporated into pillararene‐embedded COF, achieving a “three‐in‐one” antimicrobial effect that markedly alleviated periodontal ...
Shuang Liang   +9 more
wiley   +1 more source

Annual Report of the 2022 National Clinical Database: Decade‐Long Trends and Current Status of Gastroenterological Surgery in Japan

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim The National Clinical Database (NCD) of Japan is the largest nationwide registry, covering over 95% of surgeries in the country. This 2022 annual report summarizes the short‐term outcomes of gastroenterological surgeries and discusses trends and insights over the past decade.
Koshi Kumagai   +19 more
wiley   +1 more source

Evaluation of dental pulp stem cells response to flowable nano-hybrid dental composites: A comparative analysis. [PDF]

open access: yesPLoS One
Rady D   +7 more
europepmc   +1 more source

Rising Pancreatic Cancer Incidence in Young Japanese Women and Increasing Distal Pancreatectomy in Older Adults: A Nationwide Claims‐Based Analysis From 2016 to 2023

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This nationwide claims‐based study analyzed recent trends in pancreatic cancer incidence (2016–2021) and surgery (2016–2023) in Japan. The study revealed a rising incidence of pancreatic cancer, notably among young women, and an increasing use of distal pancreatectomy among older adults.
Masamitsu Kido   +10 more
wiley   +1 more source

Survival Outcomes of Gemcitabine–Cisplatin–S‐1 Versus Gemcitabine–Cisplatin in Unresectable Biliary Tract Cancer: A Multicenter Retrospective Study With a Focus on Conversion Surgery

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
In this multicenter retrospective study conducted by the Biliary Tract Club, we compared survival outcomes between gemcitabine–cisplatin–S‐1 (GCS) and gemcitabine–cisplatin (GC) in patients with unresectable biliary tract cancer, with a particular focus on conversion surgery. GCS was associated with longer overall and progression‐free survival compared
Hisashi Kosaka   +27 more
wiley   +1 more source

Anti-Caries Activity of New Generation Rechargeable Dental Composites - An <i>In Vitro</i> Study.

open access: yesJ Pharm Bioallied Sci
Savita A   +5 more
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

open access: yesAdvanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia   +3 more
wiley   +1 more source

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