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Treatment options for recurrent high-risk non-muscle-invasive bladder cancer (HR NMIBC) and muscle-invasive bladder cancer (MIBC) are limited, highlighting a need for clinically effective, accessible, and better-tolerated alternatives. In this review we examine the clinical development program of TAR-200, a novel targeted releasing system designed to provide sustained intravesical delivery of gemcitabine to address the needs of patients with NMIBC and of those with MIBC. We describe the concept and design of TAR-200 and the clinical development of this gemcitabine intravesical system in the SunRISe portfolio of studies.

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Background: Neoadjuvant chemoradiotherapy (nCRT) is the standard for locally advanced rectal cancer (LARC). However, distant metastasis remains the primary cause of treatment failure. Early identification of high-risk individuals for personalized treatment may offer a solution.

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Digitally transforming community mental healthcare: Real-world lessons from algorithmic workforce integration.

Psychiatry Res

January 2025

SA Health, Northern Adelaide Local Health Network, Northern Community Mental Health, Salisbury, Australia; Sonder, Headspace Adelaide Early Psychosis, Adelaide, Australia; The University of Adelaide, Adelaide Medical School, Discipline of Psychiatry, Adelaide, Australia.

Community-based high intensity services for people living with severe and enduring mental illnesses face critical workforce shortages and workflow efficiency challenges. The expectation to monitor complex, dynamic patient data from ever-expanding electronic health records leads to information overload, a significant factor contributing to worker burnout and attrition. An algorithmic workforce, defined as a suite of algorithm-driven processes, can work alongside health professionals assisting with oversight tasks and augmenting human expertise.

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This study explores the integration of telerehabilitation, virtual reality, and serious games technologies in addressing physical disabilities. Specifically, it focuses on game-based telerehabilitation for patients with stroke, Parkinson's disease, and multiple sclerosis undergoing home-based rehabilitation. Utilising the PICO approach, a search in Scopus and PubMed until February 21st, 2024, identified 31 relevant English articles out of 258 initially considered.

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Background And Aim: Discriminating between idiosyncratic drug-induced liver injury (DILI) and autoimmune hepatitis (AIH) is critical yet challenging. We aim to develop and validate a machine learning (ML)-based model to aid in this differentiation.

Methods: This multicenter cohort study utilised a development set from Beijing Friendship Hospital, with retrospective and prospective validation sets from 10 tertiary hospitals across various regions of China spanning January 2009 to May 2023.

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