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GraphkmerDTA: integrating local sequence patterns and topological information for drug-target binding affinity prediction and applications in multi-target anti-Alzheimer's drug discovery.
Mol Divers
January 2025
Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases Ministry of Education, Jiangxi Province Key Laboratory of Biomaterials and Biofabrication for Tissue Engineering, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Identifying drug-target binding affinity (DTA) plays a critical role in early-stage drug discovery. Despite the availability of various existing methods, there are still two limitations. Firstly, sequence-based methods often extract features from fixed length protein sequences, requiring truncation or padding, which can result in information loss or the introduction of unwanted noise.
View Article and Find Full Text PDFDeep learning-based lymph node metastasis status predicts prognosis from muscle-invasive bladder cancer histopathology.
World J Urol
January 2025
Department of Urology, Renmin Hospital of Wuhan University, 99 Zhang Zhi-dong Road, Wuhan, Hubei, 430060, P.R. China.
Purpose: To develop a deep learning (DL) model based on primary tumor tissue to predict the lymph node metastasis (LNM) status of muscle invasive bladder cancer (MIBC), while validating the prognostic value of the predicted aiN score in MIBC patients.
Methods: A total of 323 patients from The Cancer Genome Atlas (TCGA) were used as the training and internal validation set, with image features extracted using a visual encoder called UNI. We investigated the ability to predict LNM status while assessing the prognostic value of aiN score.
The safety and efficacy of robotic radiosurgery and radiotherapy in the management of skull base tumors: a systematic review and meta-analysis.
Neurosurg Rev
January 2025
Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
Stereotactic radiosurgery (SRS) and radiotherapy (SRT) have gained prominence as both adjuvant and primary treatment options for patients with skull base tumors that are either inoperable or present as residual or recurrent lesions post-surgery. The object of the current study is to evaluate the safety and efficacy of robotic-assisted SRS and SRT across various skull base pathologies. The study was conducted under PRISMA guidelines and involved a comprehensive evaluation of databases, including PubMed, Scopus, Embase, Web-of-Science, and the Cochrane Library.
View Article and Find Full Text PDFInfluence of radiotherapy on cardiac implantable devices and leads-a single-institution analysis and critical evaluation of current guidelines.
Strahlenther Onkol
January 2025
TUM School of Medicine and Health, Department of Radiation Oncology, Technische Universität München (TUM), Klinikum rechts der Isar, Munich, Germany.
Purpose: Increasing life expectancy and advances in cancer treatment will lead to more patients needing both radiation therapy (RT) and cardiac implantable electronic devices (CIEDs). CIEDs, including pacemakers and defibrillators, are essential for managing cardiac arrhythmias and heart failure. Telemetric monitoring of CIEDs checks battery status, lead function, settings, and diagnostic data, thereby identifying software deviations or damage.
View Article and Find Full Text PDFReliability and Validity of the Japanese Version of the Internet Gaming Disorder Scale for Children (IGDS-C).
Neuropsychopharmacol Rep
March 2025
National Center of Neurology and Psychiatry, National Institute of Mental Health, Kodaira, Tokyo, Japan.
Aim: The Internet Gaming Disorder Scale is a 9-item screening instrument developed based on the diagnostic criteria for Internet Gaming Disorder (IGD) in the DSM-5. This study aimed to examine the reliability and validity of the Internet Gaming Disorder Scale for children (IGDS-C) in Japanese clinical and nonclinical populations.
Methods: The study included clinical outpatients aged 9-29 with problematic game use and nonclinical adolescents aged 12-18 who played online games at least once a week.
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