Considering the growing interest towards next generation sequencing (NGS) and data analysis, and the substantial challenges associated to fully exploiting these technologies and data without the proper experience, an expert knowledge-based user-friendly analytical tool was developed to allow non-bioinformatics experts to process NGS genomic data, automatically prioritise genomic variants and make their own annotations. This tool was developed using a user-centred methodology, where an iterative process was followed until a useful product was developed. This tool allows the users to set-up the pre-processing pipeline, filter the obtained data, annotate it using external and local databases (DBs) and help on deciding which variants are more relevant for each study, taking advantage of its customised expert-based scoring system. The end users involved in the project concluded that CRIBOMICS was easy to learn, use and interact with, reducing the analysis time and possible errors of variant prioritisation for genetic diagnosis.
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http://dx.doi.org/10.3233/SHTI210855 | DOI Listing |
JCO Clin Cancer Inform
December 2024
Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Purpose: Research on rare diseases and atypical health care demographics is often slowed by high interparticipant heterogeneity and overall scarcity of data. Synthetic data (SD) have been proposed as means for data sharing, enlargement, and diversification, by artificially generating real phenomena while obscuring the real patient data. The utility of SD is actively scrutinized in health care research, but the role of sample size for actionability of SD is insufficiently explored.
View Article and Find Full Text PDFGenes Environ
November 2024
Global Drug Safety, Eisai Co., Ltd., 5-1-3 Tokodai, Tsukuba-shi, Ibaraki, 300-2635, Japan.
Background: Although the in silico predictive ability of the Ames test results has recently made remarkable progress, there are still some chemical classes for which the predictive ability is not yet sufficient due to a lack of Ames test data. These classes include simple heterocyclic compounds. This study aimed to investigate the mutagenicity and structure-mutagenicity relationships for some heterocycles in the Ames test.
View Article and Find Full Text PDFBMC Med Educ
November 2024
Medical Education Department, Educational Development Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Background: The study aims to assess the situational judgment capability of students in various professions, including medicine, surgical nursing, anesthesia nursing, and emergency medical technology, using a validated and adapted Situational Judgment Test (SJT).
Methods: The cross-sectional study was conducted at Qom University of Medical Sciences in 2023-2024. The study consisted of two steps: (1) adaptation and validity assessment of the SJT in various health professions, and (2) evaluation of students' situational judgment capability using the adapted SJT.
Sci Rep
November 2024
Department of Aviation and Space Psychology, German Aerospace Center, Institute of Aerospace Medicine, 22335, Hamburg, Germany.
Large language models (LLM) have been a catalyst for the public interest in artificial intelligence (AI). These technologies perform some knowledge-based tasks better and faster than human beings. However, whether AIs can correctly assess social situations and devise socially appropriate behavior, is still unclear.
View Article and Find Full Text PDFBMC Med Educ
November 2024
School of Medicine, National Defense Medical Center, No. 161, Sec. 6, Minquan E. Rd., Neihu Dist, Taipei City, 11490, Taiwan.
Background: Taiwan enacted the Hospice Palliative Care Act in 2000 and the Patient Autonomy Act in 2016. However, medical education has emphasized palliative care skills over ethical and legal integration. This study developed a curriculum for pre-clinical students, focusing on applying these issues in end of life care.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!