Results 191 to 200 of about 189,108 (318)

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

Utilization Patterns and Implementation Barriers in Adoption of Teledentistry Within Romanian Dental Practice. [PDF]

Healthcare (Basel)
Andronic A, Maniu G, Birlutiu V, Popa M.
europepmc   +1 more source

Case in Dental Practice [PDF]

BMJ, 1874
openaire   +2 more sources

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

Up to 30 years of clinical performance of double-crown-retained removable dental prostheses with spark-eroded friction pins placed in a general dental practice. [PDF]

Clin Oral Investig
Zierden K, Werdecker S, Wöstmann B, Rehmann P.   +3 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

Root Resective Procedures: A Case Series of Tooth Hemisection and Bicuspidization with Prosthetic Rehabilitation in Contemporary Dental Practice. [PDF]

Dent J (Basel)
Sokratous S, Krokidis A, Kerezoudis NP.
europepmc   +1 more source

A group practice dental clinic for Dallas, Texas

, 1973
Marc P Hogan
openalex   +1 more source

Knowledge, Attitudes, and Practice of Dental Students Towards Infection Control Measures at Sirt University, Libya

Zahera Moftah Elmabrouk, Omakhair Hasan Abdelaziz   +1 more
openalex   +1 more source

Knowledge and attitude of healthcare students towards over-the-counter oral healthcare products and dental practices [PDF]

Nilormi Karmakar, Sangeeta Umesh Nayak, Keshava Pai, Ramya Shenoy, Srikala Bhandary, Pritam K. Sengupta   +5 more
openalex   +1 more source