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Introduction: The usefulness of smartphone-based application software as a way to manage adverse events (AEs) after vaccination is well known. The purpose of this study is to clarify the usefulness and precautions of employing a smartphone application for collecting AEs after the administration of Comirnaty®️.
Methods: Healthcare workers (HCWs) who were vaccinated with Comirnaty®️ were asked to register for the application software and to report AEs for 14 days after vaccination. AEs were self-reported according to severity. The software was set to output an alert in case of fever.
Results: The number of HCWs who received the first dose was 2,551, and 2,406 (94.3%) reported their vaccinations. 2,547 received the second dose, and 2,347 (92.1%) reported their vaccinations. With the first dose, the reporting rate stayed above 83.3% until the final day. On the other hand, that of the second dose decreased rapidly after 6 days. The most frequent symptom was "pain at injection site" (more than 70%). Severe AEs were 6.6% after the second dose, with 0.6% visiting a clinic. Many AEs peaked on the day after administration and disappeared within 1 week. There were few reports of fever.
Conclusion: Smartphone applications can be used to collect information on AEs after vaccination. Application settings and dissemination are necessary to maintain the reporting rate of HCWs.
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http://dx.doi.org/10.1016/j.jiac.2022.02.020 | DOI Listing |
Sud Med Ekspert
January 2025
Bureau of Forensic Medical Examination of the Department of Health Care of the City of Moscow, Moscow, Russia.
The article considers the main phases of traffic injury (TI) described by A.A. Solokhin in 1968 and their modern application in forensic medical and automotive examination.
View Article and Find Full Text PDFJ Chem Inf Model
September 2025
Songshan Lake Materials Laboratory, Dongguan 523808, PR China.
Large language models (LLMs) have demonstrated transformative potential for materials discovery in condensed matter systems, but their full utility requires both broader application scenarios and integration with ab initio crystal structure prediction (CSP), density functional theory (DFT) methods and domain knowledge to benefit future inverse material design. Here, we develop an integrated computational framework combining language model-guided materials screening with genetic algorithm (GA) and graph neural network (GNN)-based CSP methods to predict new photovoltaic material. This LLM + CSP + DFT approach successfully identifies a previously overlooked oxide material with unexpected photovoltaic potential.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
September 2025
Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, United States.
Purpose: To assess macular choriocapillaris (CC) metrics in healthy volunteers (HVs) without ocular disease and demonstrate CC variations in patients with inherited retinal dystrophies (IRDs) using adaptive optics optical coherence tomography angiography (AO-OCTA).
Methods: Twenty-one HVs and three IRD patients were imaged. Macular variation in 20 HVs in CC metrics (CC density, CC diameter, CC tortuosity, void diameter, void area, lobule count, lobule area, and RPE-CC distance) were assessed by imaging a 28° strip of overlapping AO-OCTA volumes (3° × 3°) from the optic nerve head to the temporal macula.
Analyst
September 2025
Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou 350108, P. R. China.
: The objective of this study is to develop a straightforward and expeditious clinical detection method for meropenem. This study aims to introduce an innovative nanoenzyme design, thereby broadening the application of platinum nanomaterials in biological detection. It seeks to facilitate the portable detection of meropenem using commercial software.
View Article and Find Full Text PDFmSystems
September 2025
Center for Infection Biology, School of Basic Medical Sciences, Tsinghua University, Beijing, China.
Human-associated metagenomic data often contain human nucleic acid information, which can affect the accuracy of microbial classification or raise ethical concerns. These reads are typically removed through alignment to the human genome using various metagenomic mapping tools or human reference genomes, followed by filtration before metagenomic analysis. In this study, we conducted a comprehensive analysis to identify the optimal combination of alignment software and human reference genomes using benchmarking data.
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