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Fullerenes have exhibited excellent performance in solar cells, electric transducer and catalysts. The rather high absorption coefficient, combined with its low specific heat capacity, as well as hydrophobicity and antioxidant, are key features for applications in acoustic emission (AE), which has never been reported. Here, we fabricate and characterize a flexible an AE source based on the fullerenes-polydimethylsiloxane (PDMS) composite. By controlling the composite concentration or thickness, the center frequency can be changed in laser ultrasound excitation. The assembled transducer simultaneously achieves relatively wide frequency range (10-dB bandwidth>10 MHz) and efficient laser ultrasound conversion (1.13×10). The mechanical robustness of the AE source is also quantitatively characterized in water. Notably, compared to graphene nano-flakes, the fullerenes exhibit a more than threefold increase in excitation amplitude. Owing to high-intensity ultrasound excitation of the fullerenes-PDMS composite, the structure characteristics of centimeter-scaled physical models are clearly resolved by irradiating the material as a laser-ultrasound source. To construct a compact fiber-optic exciter, the fullerenes-PDMS film is additionally applied to a fiber end via dip coating. The findings suggest that fullerenes possess significant competitive advantages as a high-efficiency AE source in the field of ultrasound applications.
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http://dx.doi.org/10.1016/j.ultras.2025.107634 | DOI Listing |
J Imaging Inform Med
September 2025
Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Large language models (LLMs) have been successfully used for data extraction from free-text radiology reports. Most current studies were conducted with LLMs accessed via an application programming interface (API). We evaluated the feasibility of using open-source LLMs, deployed on limited local hardware resources for data extraction from free-text mammography reports, using a common data element (CDE)-based structure.
View Article and Find Full Text PDFNature
September 2025
Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Key Laboratory of RNA Innovation Science and Engineering, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.
Antigen-induced clustering of cell surface receptors, including T cell receptors and Fc receptors, represents a widespread mechanism in cell signalling activation. However, most naturally occurring antigens, such as tumour-associated antigens, stimulate limited receptor clustering and on-target responses owing to insufficient density. Here we repurpose proximity labelling, a method used to biotinylate and identify spatially proximal proteins, to amplify designed probes as synthetic antigen clusters on the cell surface.
View Article and Find Full Text PDFJ Immunother Cancer
September 2025
CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Neoadjuvant immunochemotherapy (nICT) has demonstrated significant potential in improving pathological response rates and survival outcomes for patients with locally advanced esophageal squamous cell carcinoma (ESCC). However, substantial interindividual variability in therapeutic outcomes highlights the urgent need for more precise predictive tools to guide clinical decision-making. Traditional biomarkers remain limited in both predictive performance and clinical feasibility.
View Article and Find Full Text PDFHeart
September 2025
Department of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
Cardiovascular disease remains a leading cause of morbidity and mortality worldwide, with conventional management often applying standardised approaches that struggle to address individual variability in increasingly complex patient populations. Computational models, both knowledge-driven and data-driven, have the potential to reshape cardiovascular medicine by offering innovative tools that integrate patient-specific information with physiological understanding or statistical inference to generate insights beyond conventional diagnostics. This review traces how computational modelling has evolved from theoretical research tools into clinical decision support systems that enable personalised cardiovascular care.
View Article and Find Full Text PDFCancer Treat Res Commun
September 2025
Maoming People's Hospital, China. Electronic address:
Prostate cancer represents the second most prevalent malignancy among males globally, exhibiting a significantly lower 5-year survival rate in China relative to Western nations. Early diagnosis constitutes a critical factor in enhancing clinical outcomes. Ultrasound molecular imaging has emerged as a non-invasive and widely accessible diagnostic modality.
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