Background: Positron emission tomography is widely used to study biological processes without disrupting normal physiological functions. Traditional radiotracer synthesis and industrial market is focused on producing large batches of F-labelled tracers, especially [F]FDG. Accessibility to smaller quantity of diverse radiopharmaceuticals is a key to enable a more personalised approach in nuclear medicine. A novel microfluidic module, iMiDEV™, has earlier been shown to be a versatile labelling platform as it has been used in the production of Na[F]F and various C- and Ga-labelled tracers. In the current study our aim was to utilise iMiDEV™ in the synthesis of fluorine-18-labelled radiotracers, specifically [F]DPA-714, [F]LBT-999 and [F]fallypride.
Results: [F]DPA-714, [F]LBT-999 and [F]fallypride have been produced in up to 24%, 12% and 11% radiochemical yield, respectively, using the microfluidics based iMiDEV™ labelling platform. Activity yields at the end of synthesis were 3.6 GBq, 2.1 GBq and 2.3 GBq, respectively. All individual synthesis steps were studied for efficient activity transfer and labelling and the optimised synthesis sequence was fully automated.
Conclusion: In this paper, we have demonstrated fully automated production of different F-tracers of clinical relevance with moderate to good yields using microfluidic iMiDEV™ platform. Our work is a step towards more personalised, dose-on-demand manufacturing of PET radiopharmaceuticals.
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http://dx.doi.org/10.1186/s41181-024-00315-6 | DOI Listing |
J Robot Surg
January 2025
Multimedia University, Cyberjaya, Malaysia.
Artificial intelligence and robotics are revolutionizing surgical practices by enhancing precision, efficiency, and patient outcomes. With global healthcare systems increasingly adopting AI-driven technologies, the integration of robotics in surgery addresses critical challenges such as surgical accuracy, minimally invasive techniques, and healthcare accessibility. However, disparities in access and ethical concerns regarding automation persist globally, necessitating a balanced discourse on these advancements.
View Article and Find Full Text PDFLab Chip
January 2025
Department of Food Science and Agricultural Chemistry, McGill University Macdonald Campus, Sainte-Anne-de-Bellevue, Quebec, H9X 3V9, Canada.
Mycotoxins are detectable in 60-80% of food crops, posing significant threats to human health and food security, and causing substantial economic losses. Most mitigation approaches focus on detecting mycotoxins with standard methods based on liquid chromatography coupled with mass spectrometry (LC-MS). Typical MS methods require extensive sample preparation and clean-up due to the matrix effect, followed by time-consuming LC separation, complicating the analysis process and limiting analytical throughput.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
January 2025
National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, Xueyuan Blvd, Nanshan, Shenzhen, Guangdong, China.
Background: Early diagnosis of cleft lip and palate (CLP) requires a multiplane examination, demanding high technical proficiency from radiologists. Therefore, this study aims to develop and validate the first artificial intelligence (AI)-based model (CLP-Net) for fully automated multi-plane localization in three-dimensional(3D) ultrasound during the first trimester.
Methods: This retrospective study included 418 (394 normal, 24 CLP) 3D ultrasound from 288 pregnant woman between July 2022 to October 2024 from Shenzhen Guangming District People's Hospital during the 11-13 weeks of pregnancy.
AJR Am J Roentgenol
January 2025
Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
CT-based abdominal body composition measures have shown associations with important health outcomes. Artificial intelligence (AI) advances now allow deployment of tools that measure body composition in large patient populations. To assess associations of age, sex, and common systemic diseases on CT-based body composition measurements derived using a panel of fully automated AI tools in a population-level adult patient sample.
View Article and Find Full Text PDFViruses
December 2024
State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Center for Swine Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China.
Porcine circovirus 3 (PCV3) is a small non-enveloped circovirus associated with porcine dermatitis and nephropathy syndrome (PDNS). It has occurred worldwide and poses a serious threat to the pig industry. However, there is no commercially available vaccine.
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