Results 171 to 180 of about 73,492 (280)

Real‐world effectiveness and safety of tirzepatide in Japanese patients with type 2 diabetes: A multi‐site retrospective study

Diabetes, Obesity and Metabolism, EarlyView.
Abstract Aims Despite the established efficacy of tirzepatide in randomised controlled trials, real‐world effectiveness data in Japanese patients remain limited. This study evaluated the real‐world effectiveness and safety of tirzepatide in Japanese patients with type 2 diabetes over 52 weeks.
Yusuke Minakata, Masaki Miura, Nobuhiro Nakatake, Masahiro Masuzawa   +3 more
wiley   +1 more source

Differential Expression Analysis in RNA-Seq by a Naive Bayes Classifier with Local Normalization. [PDF]

Biomed Res Int, 2015
Dou Y, Guo X, Yuan L, Holding DR, Zhang C.   +4 more
europepmc   +1 more source

Making sense of TILs: recommendations for morphological assessment of tumour‐infiltrating lymphocytes in gastro‐oesophageal carcinoma

Histopathology, EarlyView.
This review examines the role of tumour‐infiltrating lymphocytes (TILs) in gastro‐oesophageal carcinoma (GEC), focusing on their composition, clinical relevance and therapeutic utility. It proposes a framework for standardised evaluation and reporting of TILs, addressing GEC‐specific pathology challenges to support the widespread use and validation of ...
Ylva A Weeda, Roberto Salgado, Filip van Herpe, Daniel Sur, Michael Vieth, Sherene Loi, Ahmad P Tafti, Hardas Alexandros, Akira I Hida, Amarpreet Bhalla, Andrey I Khramtsov, Anna Ehinger, Atsushi Tanaka, Balazs Acs, Caner Ercan, Cornelia M Focke, Daniel Ehinger, Dan Huang, Galina F Khramtsova, Haruto Nishida, Nianyi Li, Nickolas Littlefield, Sanna Steen, Selim Sevim, Shin Ichihara, Shinnosuke Morikawa, Stefan Michiels, Thomas Papathomas, Toshihiro Haga, Qiangqiang Gu, Weiqi Sheng, Hoel Kervadec, Hugo M Horlings, Francisco Sanchez‐Vega, Yelena Y Janjigian, Myriam Chalabi, Hanneke W M van Laarhoven, Liudmila L Kodach, Sybren L Meijer   +38 more
wiley   +1 more source

Exact Learning Augmented Naive Bayes Classifier

Exact Learning Augmented Naive Bayes Classifier
Earlier studies have shown that classification accuracies of Bayesian networks (BNs) obtained by maximizing the conditional log likelihood (CLL) of a class variable, given the feature variables, were higher than those obtained by maximizing the marginal likelihood (ML).
openaire  

AI‐enhanced decision support for fall patients: streamlining inpatient flow in the emergency department

International Transactions in Operational Research, EarlyView.
Abstract Emergency department (ED) overcrowding and inefficient patient flow are significant operational challenges, often amplified by the volume of patients sustaining fall‐related injuries. This study predicts hospital admission for these encounters by leveraging unstructured clinical text: triage chief complaints (reasons for seeking care) and ...
Dinesh R. Pai, Usha Ananthakumar, Shruti Sureshan   +2 more
wiley   +1 more source

Impact of renal function on antidiabetic drug selection in Japan: A real‐world analysis using the J‐DREAMS database

Journal of Diabetes Investigation, EarlyView.
Using a large Japanese real‐world database, we examined antidiabetic drug selection in first and second therapy stratified by renal function and study period. The earlier initiation of SGLT2 inhibitors and GLP‐1 receptor agonists increased over time, particularly in second therapy, with prescribing patterns increasingly aligned across renal function ...
Masashi Kubota, Mitsuru Ohsugi, Kohjiro Ueki   +2 more
wiley   +1 more source

Naïve Bayes classifier with feature selection to identify phage virion proteins. [PDF]

Comput Math Methods Med, 2013
Feng PM, Ding H, Chen W, Lin H.
europepmc   +1 more source

Intraspecific Variation in the Characteristics of Cryptocaryon irritans Isolated in Japan

Journal of Fish Diseases, EarlyView.
ABSTRACT Cryptocaryon irritans is an obligate parasitic ciliate and the causative agent of cryptocaryoniasis. This parasite is widely distributed in tropical and subtropical marine waters, and numerous outbreaks in aquaculture have been reported worldwide. Previous studies have documented variations in biological traits, such as cell size, serotype and
Hiromi Matsuoka, Toshihide Iwatsuki, Maho Kotake, Tomoki Honryo, Sho Shirakashi, Naoki Itoh, Yuho Watanabe   +6 more
wiley   +1 more source

Clinical outcomes of BCG‐treated patients with high‐risk non‐muscle‐invasive bladder cancer according to pre‐ and post‐2021 European Association of Urology risk classifications

BJU International, EarlyView.
Tian Ye, Benjamin Tura, Ben Abbotts, Maurice P. Zeegers, K. K. Cheng, Nicholas D. James, Richard T. Bryan   +6 more
wiley   +1 more source

Use of Conventional Artificial Intelligence Methods in the Identification of Frailty: A Scoping Review

Journal of the American Geriatrics Society, EarlyView.
ABSTRACT Background Early identification and management of frailty are crucial, yet its detection in early stages remains difficult for clinicians. Artificial intelligence (AI) has emerged as a promising tool in healthcare. However, the absence of a standard frailty definition and diversity of AI methods create a need for a comprehensive review.
Kunal Ashok Dalsania, Alixe Ménard, Shruthi Sundararaman, Arya Rahgozar, Sarah de Lima, Xintong Lu, Aya Al‐Ali, Krishnpriya Singh, Ramtin Hakimjavadi, Hui Yan, Claire Sethuram, Howard Bergman, Jim LaPlante, Daniel McIsaac, Samira Abbasgholizadeh Rahimi, Nadia Sourial, Manpreet Thandi, Sabrina Wong, Clare Liddy, Karen Bandeen‐Roche, Sathya Karunananthan   +20 more
wiley   +1 more source