Results 271 to 280 of about 24,974,694 (354)

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

Annals 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, Masahiko Kinoshita, Satoshi Yasuda, Satoru Kakizaki, Rie Sugimoto, Jun Sakata, Kiyonori Yamai, Takeshi Hatanaka, Yusuke Yamamoto, Toshifumi Sato, Toru Ishikawa, Takanori Morikawa, Jun Hanaoka, Haruki Mori, Hidenori Toyoda, Tsuyoshi Sanuki, Misaki Yokoi, Hiroyuki Shibata, Koji Fukuda, Kazuhito Kawata, Koji Amaya, Takashi Ito, Masaaki Hidaka, Atsushi Naganuma, Keishi Sugimachi, Satoshi Toshiyama, Makoto Yamasaki, Masaki Kaibori   +27 more
wiley   +1 more source

Letter to the Editor on Artificial Intelligence-Driven Segmentation of 3 Oral Diseases. [PDF]

Int Dent J
Xu S, Jin H.
europepmc   +1 more source

Rethinking Perioperative Corticosteroids in Esophageal Cancer Surgery: Evidence From an Integrative Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Esophagectomy remains a highly invasive procedure associated with substantial postoperative morbidity. Pulmonary complications, anastomotic leakage, and in‐hospital mortality are of particular concern. Perioperative corticosteroids are often administered to attenuate excessive inflammatory responses; however, the clinical impact in ...
Tomohiko Yasuda, Akihisa Matsuda, Nobutoshi Hagiwara, Yoshiharu Nakamura, Hiroshi Yoshida   +4 more
wiley   +1 more source

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

Advanced 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, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Applicability of Bolton's Analysis and Regression-Based Tooth-Size Prediction Methods in a Young Adult Cohort. [PDF]

Cureus
Boben B, Vangala R, Maraka DS, Venkata Sai Krishna P, Kumar UT, Besta V, Mandava P, Singaraju GS.   +7 more
europepmc   +1 more source

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

Advanced 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, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Are arch width measurements from Invisalign arch width tables reliable? [PDF]

Clin Oral Investig
de-la-Rosa-Gay C, Valmaseda-de-la-Rosa S, Hernández-Mangas A, Camps-Font O, Valmaseda-Castellón E, Figueiredo R.   +5 more
europepmc   +1 more source

Smart Denture with Embedded Thin‐Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam, Yong Kwon Chae, Seoung‐Jin Hong, Younggen Lee, Dongwook Yang, Byunggi Kim, Sang Wook Kang, Young‐Jin Kim   +7 more
wiley   +1 more source

Role of Artificial Intelligence in Cleft Lip and/or Cleft Palate in Diagnosis and Detection-An Umbrella Review. [PDF]

Clin Exp Dent Res
Mehta V, Bhadania M, Singh A, Galletti C, Mathur A.   +4 more
europepmc   +1 more source

How does the Kids SIPsmartER program impact the sugar‐sweetened beverage intake of students: An investigation beyond total treatment effect in randomized controlled trial

American Journal of Agricultural Economics, EarlyView.
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin, Wen You, Annie Reid, Kathleen Porter, Brittany Kirkpatrick, Jamie Zoellner   +5 more
wiley   +1 more source