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http://dx.doi.org/10.1007/s13555-023-01091-y | DOI Listing |
Front Oncol
August 2025
Mesía R, Medical Oncology Department, Catalan Institute of Oncology, B-ARGO-group, Institut de Recerca Germans Trías i Pujol (IGTP), Badalona, Spain.
[This corrects the article DOI: 10.3389/fonc.2025.
View Article and Find Full Text PDFClin Ophthalmol
August 2025
Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Purpose: To evaluate the efficacy and safety of conbercept for neovascular age-related macular degeneration (nAMD) when administered at the labeled dose (0.5 mg) and double dose (1.0 mg).
View Article and Find Full Text PDFHepatol Commun
September 2025
Department of Radiation Oncology, Gunma University Graduate School of Medicine, Maebashi, Japan.
Aim: This study aimed to compare the clinical outcomes of carbon-ion radiotherapy (CIRT) to those of surgical resection (SR) in patients with HCC.
Methods: This retrospective study included 116 and 947 patients initially receiving CIRT and SR in Japanese institutions from September 2010 and June 2022. We used inverse probability of treatment weighting (IPTW) analysis to correct for imbalances in baseline patient characteristics between the 2 groups.
J Pers Med
August 2025
Multidimensional Medicine Department, USL-Toscana Centro, 50143 Florence, Italy.
. The Italian Committee for Tailored BIOlogic Therapy (ITABIO), in a first report, has reviewed the literature to identify the best strategy for the choice of second-line biologic therapy in patients with rheumatoid arthritis (RA), spondyloarthritis (SpA), and psoriatic arthritis (PsA). To verify the application of ITABIO recommendations in real life and how the recommendations perform in maintaining the health status of patients affected by inflammatory arthritis (RA, SpA, PsA), a database has been developed by Pharmaceutical Governance to evaluate the appropriateness of prescriptions.
View Article and Find Full Text PDFComput Biol Med
August 2025
Inria, Lyon Research Center, F-69603, Villeurbanne, France; AIstroSight, Inria, Université Claude Bernard Lyon 1, Hospices Civils de Lyon, Villeurbanne, F-69603, France. Electronic address:
Objective: Correct automatic analysis of a medical report requires the identification of negations and their scopes. Since most of available training data comes from medical texts in English, it usually takes additional work to apply to non-English languages. Here, we introduce a supervised learning method for automatically identifying and determining the scopes and negation cues in French medical reports using language models based on BERT.
View Article and Find Full Text PDF