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Background: Next-generation sequencing (NGS) has greatly improved the diagnostic process for hereditary diseases, and incorporation of NGS into newborn screening (NBS) programs for more actionable diseases has been widely discussed. The aim of this study was to evaluate an integrated solution for application of NGS in newborn screening.
Methods: An NGS panel targeting 155 genes related to inborn errors of metabolism, hearing loss, severe combined immunodeficiency, congenital hypothyroidism, and other actionable genetic diseases, was designed. An all-in-one library preparation strategy was developed to combine multiplex PCR target enrichment and sample barcoding. A clinical genetic analysis system was assembled to facilitate bioinformatics analysis and reporting. The integrated solution was validated using 160 samples with known variants.
Results: The end-to-end time from DNA isolation to sequencing was approximately 34 hours, and bioinformatics analysis pipeline took 4 hours for 160 samples in parallel. This allowed reporting of results on day 3. All known variants were confirmed by the NGS workflow, and two large insertion/deletions were additionally detected in two cases with previously clinically but not genetically confirmed diseases.
Conclusions: The integrated solution for application of NGS in NBS provided reasonable turnaround time to meet the NBS timeframe and could be implemented at scale.
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http://dx.doi.org/10.7754/Clin.Lab.2024.241006 | DOI Listing |
Infect Dis Poverty
September 2025
Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon.
Background: Little is documented on key community-based One Health (OH) approach implementation, pro-activeness and effectiveness of interactions and strategies against Mpox outbreak public health emergency in international concern (PHEIC) in various African countries in order to stamp out the persisting Mpox outbreak threat and burden. Prioritizing critical community-based interventions and lessons learned from previous COVID-19, Mpox, Ebola, COVID-19, Rift Valley Fever and Marburg virus outbreaks revealed critical shortcomings in funding, surveillance, and community engagement that plague public health initiatives across the continent. The article provides critical insights and benefits of community-based One Health approaches implementation against Mpox outbreak management in Africa.
View Article and Find Full Text PDFLight Sci Appl
September 2025
State Key Laboratory of Flexible Electronics, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications (NUPT), Nanjing, 210023, China.
As the demand for edge platforms in artificial intelligence increases, including mobile devices and security applications, the surge in data influx into edge devices often triggers interference and suboptimal decision-making. There is a pressing need for solutions emphasizing low power consumption and cost-effectiveness. In-sensor computing systems employing memristors face challenges in optimizing energy efficiency and streamlining manufacturing due to the necessity for multiple physical processing components.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
Affiliated Hospital of Shandong Second Medical University, Shandong Second Medical University, Weifang, Shandong 261053, P.R. China.
Decades of antibiotic misuse have spurred an antimicrobial resistance crisis, creating an urgent demand for alternative treatment options. Although phototherapy has therapeutic potential, the efficacy of the most advanced photosensitizers (PS) is essentially limited by aggregation-induced quenching, which significantly reduces their therapeutic effect. To address these challenges, we developed a cationic metallocovalent organic framework (CRuP-COF) via a solvent-mediated dual-reaction synthesis strategy.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Global Health Economics Centre, Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Background: Artificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagnostic performance and its application when deployed in real-world conditions.
Objective: This study aimed to assess the technical feasibility of integration and diagnostic performance of validated DR screening (DRS) AI algorithms in real-world outpatient public health settings.
Int J Toxicol
September 2025
RTI International, Washington, DC, USA.
Technological advances and the desire to reduce dependence on animal models have brought human-relevant models to the forefront of drug development. This paradigm shift is leveraging the advances in systems and new approach methodologies (NAMs), which was the focus of a workshop convened by the Health and Environmental Sciences Institute (HESI) in May 2024. Highlights included discussions on predicting cardiac failure modes and the utility of human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs), microfluidic systems like BioFlux™, and engineered heart tissues in enhancing early-stage drug safety assessments.
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