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Surgeon oriented reporting template for magnetic resonance imaging and endoanal ultrasound of anal fistulas enhances surgical decision-making.
World J Radiol
December 2024
Department of Ultrasound, First Affiliated Hospital, Hainan Medical University, Haikou 570102, Hainan Province, China.
In this editorial, a commentary on the article by Sudoł-Szopińska has been provided. Successful treatment of anal fistula (AF) relies on accurate diagnosis. Magnetic resonance imaging (MRI) and endoanal ultrasound (EUS) are important for the AF diagnosis.
View Article and Find Full Text PDFChallenges and considerations in liposomal hydrogels for the treatment of infection.
Expert Opin Drug Deliv
January 2025
Drug Transport and Delivery Research Group, Department of Pharmacy, Faculty of Health Sciences, University of Tromsø The Arctic University of Norway, Tromsø, Norway.
Introduction: Liposomal hydrogels are novel drug delivery systems that comprise preformed liposomes incorporated in hydrogels destined for mostly localized drug therapy, herewith antimicrobial therapy. The formulation benefits from versatility of liposomes as lipid-based nanocarriers that enable delivery of various antimicrobials of different lipophilicities, and secondary vehicle, hydrogel, that assures better retention time of formulation at the infection site. Especially in an era of alarming antimicrobial resistance, efficient localized antimicrobial therapy that avoids systemic exposure of antimicrobial and related side effects is crucial.
View Article and Find Full Text PDFRandomized trial comparing a stent-avoiding with a stent-preferred strategy in complex femoropopliteal lesions.
Cardiovasc Diagn Ther
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Department of Vascular Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Atopic dermatitis (AD), a common chronic inflammatory skin disorder is characterized by a complex pathology with skin-barrier abnormalities, immune dysregulation, and microbial dysbiosis. Patients' quality of life is often negatively impacted by persistent pruritus, sleep disturbance, and recurrent skin infections. In addition, patients may have comorbid atopic as well as nonatopic diseases.
View Article and Find Full Text PDFImmune-based Machine learning Prediction of Diagnosis and Illness State in schizophrenia and bipolar Disorder: How data bias and overfitting were avoided.
Brain Behav Immun
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Scientific Initiative for Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Hospital Campus Duffel (UPCD), Rooienberg 19, 2570 Duffel, Belgium; Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Campus Drie Eiken, S.003, Universiteitsplein 1, 2610 Wilrijk, Belgium.
In a letter critiquing our manuscript, Takefuji highlights general pitfalls in machine learning, without directly engaging with our study. The comments provide generic advice rather than a specific critique of our methods or findings. Despite raising important topics, the concerns reflect standard risks in machine learning, which we were aware of and explicitly addressed in our analyses.
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