The importance of software to modern research is well understood, as is the way in which software developed for research can support or undermine important research principles of findability, accessibility, interoperability, and reusability (FAIR). We propose a minimal subset of common software engineering principles that enable FAIRness of computational research and can be used as a baseline for software engineering in any research discipline.
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http://dx.doi.org/10.1016/j.patter.2021.100206 | DOI Listing |
Int J Pharm Pract
January 2025
School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, United Kingdom.
Objectives: To explore the perspectives of stakeholders on the General Pharmaceutical Council's revised Standards for the Initial Education and Training of Pharmacists that enable pharmacists to prescribe at the point of registration, from 2026.
Methods: This qualitative study used the Theoretical Domains Framework (TDF) to develop schedules for structured interviews that were conducted with various stakeholders and recorded via Microsoft Teams. Recordings were transcribed verbatim, checked for accuracy, and then analysed using the Framework approach, facilitated by NVIVO® software.
J Cancer Res Ther
December 2024
Department of Colorectal Surgery, Shanghai Cancer Center, Fudan University, Xuhui District, Shanghai, China.
Objective: Carbohydrate antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) serve as pivotal tumor markers in colorectal cancer (CRC). However, uncertainty persists regarding the prognostic significance of the two tumor markers when falling within the normal range. We attempt to compare the prognostic differences of tumor markers at different levels within the reference range.
View Article and Find Full Text PDFMol 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 PDFWorld 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.
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.
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