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ISLRWR: A network diffusion algorithm for drug-target interactions prediction.
PLoS One
January 2025
Shanghai Xinhao Information Technology Co., Ltd., Shanghai, China.
Machine learning techniques and computer-aided methods are now widely used in the pre-discovery tasks of drug discovery, effectively improving the efficiency of drug development and reducing the workload and cost. In this study, we used multi-source heterogeneous network information to build a network model, learn the network topology through multiple network diffusion algorithms, and obtain compressed low-dimensional feature vectors for predicting drug-target interactions (DTIs). We applied the metropolis-hasting random walk (MHRW) algorithm to improve the performance of the random walk with restart (RWR) algorithm, forming the basis by which the self-loop probability of the current node is removed.
View Article and Find Full Text PDFIntroduction: Metabolic and bariatric surgery (MBS) is increasingly used for obesity and metabolic disease, with safety profiles showing it is among the safest major operations. The last 20 + years have noted significantly improved safety that has been accompanied by decreasing length of stay and select populations electing for outpatient surgery, leading to continued decreases in cost. Regardless, readmissions and complications still occur, requiring inpatient postoperative care (IP-POC).
View Article and Find Full Text PDFInterim Results of Rigicon Penile Prosthesis Implantation in a Single Center: The Largest Series in Türkiye.
Urol Res Pract
January 2025
Department of Urology, Medistate Kavacık Hospital, İstanbul, Türkiye.
Objective: To analyze data from patient information forms (PIFs) submitted to the manufacturer of a new 3-piece inflatable penile prosthesis (IPP), the Rigicon Infla10® , to summarize interim outcomes of 250 implantations in a single center, which is the largest series in Türkiye.
Methods: A retrospective review of PIFs from 250 patients implanted with the IPP between January 2021 and December 2023 was performed to assess patient characteristics, surgical data, device durability, patient satisfaction, and rates of reoperation for any reason.
Results: The mean ± SD (range) follow-up was 21.
Analysis of Metabolic Risk Factors for Microcirculation Disorders Post-Percutaneous Coronary Intervention and Predictive Model Construction: A Study on Patients with Unstable Angina.
Rev Cardiovasc Med
January 2025
Department of Cardiology, The Second Affiliated Hospital of Xuzhou Medical University, 221000 Xuzhou, Jiangsu, China.
Background: This study aimed to analyze the metabolic risk factors for microcirculation disorders in patients with unstable angina (UA) after percutaneous coronary intervention (PCI), evaluating their predictive value for developing microcirculation disorders.
Methods: A single-center retrospective study design was used, which included 553 patients with UA who underwent PCI. The angiographic microcirculatory resistance (AMR) index was calculated based on coronary angiography data.
On the pursuit of reproducibility: the importance of large sample sizes in psychoimmunology.
Transl Psychiatry
January 2025
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Peripheral inflammatory markers (PIMs), such as C-reactive protein (CRP) or white blood cell count (WBC), have been associated with depression severity in meta-analyses and large cohort studies. However, in typically-sized psychoimmunology studies (N < 200) that explore associations between PIMs and neurobiological/psychosocial constructs related to depression and studies that examine less-studied PIMs (e.g.
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