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RNA-ModX: a multilabel prediction and interpretation framework for RNA modifications.
Brief Bioinform
November 2024
In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, 250 Wuxing Street, 110, Taipei, Taiwan.
Accurate prediction of RNA modifications holds profound implications for elucidating RNA function and mechanism, with potential applications in drug development. Here, the RNA-ModX presents a highly precise predictive model designed to forecast post-transcriptional RNA modifications, complemented by a user-friendly web application tailored for seamless utilization by future researchers. To achieve exceptional accuracy, the RNA-ModX systematically explored a range of machine learning models, including Long Short-Term Memory (LSTM), Gated Recurrent Unit, and Transformer-based architectures.
View Article and Find Full Text PDFExploring the potential of introducing an electronic death registration system in South Africa.
Health Res Policy Syst
December 2024
South African Medical Research Council, Cape Town, South Africa.
Background: Despite South Africa's well-established Civil Registration and Vital Statistics system (CRVS) and good completeness of death registration, challenges persist in terms of the quality of cause of death information and the delayed availability of mortality statistics. The introduction of an electronic medical certification of cause of death (eMCCD) system may offer opportunities to improve both the quality and timeliness of this information.
Methods: This study used an exploratory mixed methods design to investigate perceptions surrounding an electronic solution for registering deaths in South Africa.
Information needs for cancer screening and associated factors of information-seeking behaviour: a qualitative systematic review.
BMC Public Health
December 2024
School of Nursing, Nanjing Medical University, Nanjing, China.
Background: At present, the participation rate in cancer screening is still not ideal, and the lack of screening information or misunderstanding of information is an important factor hindering cancer screening behaviour. Therefore, a systematic synthesis of information needs related to cancer screening is critical.
Methods: On July 23, 2024, we searched the Cochrane Library, MEDLINE (Ovid), Embase, EBSCO, PsycINFO, Scopus, ProQuest, PubMed, Web of Science, and CINAHL to collect qualitative or mixed-methods studies on information needs of cancer screening.
Machine learning-based prediction of non-aeration linear alkylbenzene sulfonate mineralization in an oxygenic microalgal-bacteria biofilm.
Bioresour Technol
December 2024
College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China. Electronic address:
Microalgal-bacteria biofilm shows great potential in low-cost greywater treatment. Accurately predicting treated greywater quality is of great significance for water reuse. In this work, machine learning models were developed for simulating and predicting linear alkylbenzene sulfonate (LAS) removal using 152-days collected data from a battled oxygenic microalgal-bacteria biofilm reactor (MBBfR).
View Article and Find Full Text PDFIncreasing hub disruption parallels dementia severity in autosomal dominant Alzheimer's disease.
Netw Neurosci
December 2024
Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA.
Hub regions in the brain, recognized for their roles in ensuring efficient information transfer, are vulnerable to pathological alterations in neurodegenerative conditions, including Alzheimer's disease (AD). Computational simulations and animal experiments have hinted at the theory of activity-dependent degeneration as the cause of this hub vulnerability. However, two critical issues remain unresolved.
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