Puborectalis-like artificial anal sphincter (PAAS) is an innovative new type of artificial anal sphincter (AAS). It overcomes many drawbacks and inadequacies of various previous AASs, and it has successfully been implanted in vivo for almost 3 weeks. During in vivo testing, PAAS shows its ability to retain continence with low risk of ischemia necrosis, and somehow truly helps to remodel rectal perception. However, there are still many defects that influence the long-term implantation of PAAS, especially in the power supply system (PSS). This article presents a new designed PSS which includes a new transcutaneous energy transfer (TET) system, a heat reduction system, and a safety usage system. The new PSS reduces the total size of PAAS by at least 30%. Newly designed TET system can satisfy the Qi standard, and render a power of 3W to fulfill the requirement of fast charging and normal use of PAAS at the distance of 15.5 mm when frequency of TET system is 110 kHz, which previous TET systems can hardly achieve. Heat reduction system helps to reduce the heat generated during TET charging. It can reduce heat by 40% during the same period of time of TET charging. Safety usage system helps the user control PAAS more properly which can reduce the rate of failure of PAAS system.
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http://dx.doi.org/10.1111/aor.13398 | DOI Listing |
Anal Chem
January 2025
China-Croatia Belt and Road Joint Laboratory on Biodiversity and Ecosystem Services, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China.
The accurate quantification of multicomponents using LC-MS is pivotal for ensuring the quality control of herbal medicine, as well as the investigation of their analysis of biological tissue distribution. However, two significant challenges persist: the scarcity of authentic standards and the selection of appropriate internal standards. In this study, we present a highly sensitive isotope-coded equivalent reporter ion assay (iERIA) that combines equivalently quantitative ion and isotope-coded derivatization strategies.
View Article and Find Full Text PDFMed Image Anal
January 2025
Department of Electrical and Computer Engineering, College of Information and Communication Engineering, Sungkyunkwan University, Suwon, 440-746, South Korea. Electronic address:
This study introduces HCC-Net, a novel wavelet-based approach for the accurate diagnosis of hepatocellular carcinoma (HCC) from abdominal ultrasound (US) images using artificial neural networks. The HCC-Net integrates the discrete wavelet transform (DWT) to decompose US images into four sub-band images, a lesion detector for hierarchical lesion localization, and a pattern-augmented classifier for generating pattern-enhanced lesion images and subsequent classification. The lesion detection uses a hierarchical coarse-to-fine approach to minimize missed lesions.
View Article and Find Full Text PDFHigh-resolution anorectal manometry (HR-ARM) is the gold standard for anorectal functional disorders' evaluation, despite being limited by its accessibility and complex data analysis. The London Protocol and Classification were developed to standardize anorectal motility patterns classification. This proof-of-concept study aims to develop and validate an artificial intelligence model for identification and differentiation of disorders of anal tone and contractility in HR-ARM.
View Article and Find Full Text PDFJ Pharm Biomed Anal
January 2025
State Key Laboratory of Neurology and Oncology Drug Development, Nanjing, China; Simcere Zaiming Pharmaceutical Co, Ltd., Nanjing, China. Electronic address:
Capillary electrophoresis-sodium dodecyl sulfate (CE-SDS) is widely used in the biopharmaceutical industry for monitoring purity and analyzing impurities. The accuracy of the method may be compromised by artificial species resulting from sample preparation or electrophoresis separation due to suboptimal conditions. During non-reduced CE-SDS analysis of a multispecific antibody (msAb), named as multispecific antibody C (msAb-C), a cluster of unexpected peaks was observed after the main peak.
View Article and Find Full Text PDFAnal Methods
January 2025
Engineering Research Center of Intelligent Theranostics Technology and Instruments, Ministry of Education, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, 211166, China.
The presented research introduces a new method to identify drug-resistant bacteria rapidly with high accuracy using artificial intelligence combined with Multi-angle Dynamic Light Scattering (MDLS) signals and Raman scattering signals. The main research focus is to distinguish methicillin-resistant (MRSA) and methicillin-sensitive (MSSA). First, a microfluidic platform was developed embedded with optical fibers to acquire the MDLS signals of bacteria and Raman scattering signals obtained by using a Raman spectrometer.
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