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This paper summarizes the 2020 Diversity in Radiology and Molecular Imaging: What We Need to Know Conference, a three-day virtual conference held September 9-11, 2020. The World Molecular Imaging Society (WMIS) and Stanford University jointly organized this event to provide a forum for WMIS members and affiliates worldwide to openly discuss issues pertaining to diversity in science, technology, engineering, and mathematics (STEM). The participants discussed three main conference themes, "racial diversity in STEM," "women in STEM," and "global health," which were discussed through seven plenary lectures, twelve scientific presentations, and nine roundtable discussions, respectively. Breakout sessions were designed to flip the classroom and seek input from attendees on important topics such as increasing the representation of underrepresented minority (URM) members and women in STEM, generating pipeline programs in the fields of molecular imaging, supporting existing URM and women members in their career pursuits, developing mechanisms to effectively address microaggressions, providing leadership opportunities for URM and women STEM members, improving global health research, and developing strategies to advance culturally competent healthcare.
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http://dx.doi.org/10.1007/s11307-021-01610-3 | DOI Listing |
Cell Mol Biol (Noisy-le-grand)
September 2025
Arencibia Clinic, San Sebastian, Spain.
Follicular unit extraction (FUE) has become a leading technique in hair transplantation, yet optimal management of the donor area remains a clinical challenge. This systematic review analyzes intraoperative and postoperative interventions applied to the donor area in FUE hair transplantation, with a focus on both clinical outcomes and the cellular and molecular mechanisms involved in tissue repair, inflammatory response, and regenerative processes. A comprehensive literature search was conducted in PubMed and EMBASE (January 2000-June 2025), identifying clinical studies that evaluated donor area treatments and reported outcomes related to healing, inflammation, infection, and patient satisfaction.
View Article and Find Full Text PDFMed Biol Eng Comput
September 2025
Department of Computer Science, Università degli Studi di Bari Aldo Moro, Bari, Italy.
Fetal standard plane detection is essential in prenatal care, enabling accurate assessment of fetal development and early identification of potential anomalies. Despite significant advancements in machine learning (ML) in this domain, its integration into clinical workflows remains limited-primarily due to the lack of standardized, end-to-end operational frameworks. To address this gap, we introduce FetalMLOps, the first comprehensive MLOps framework specifically designed for fetal ultrasound imaging.
View Article and Find Full Text PDFHead Neck Pathol
September 2025
Department of Laboratory Medicine and Pathology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA.
Myoepithelial carcinoma (MECA) is a malignant neoplasm composed exclusively of myoepithelial cells and accounts for less than 1% of all salivary gland tumors. Its diagnosis is often challenging due to histologic overlaps with benign lesions and its variable morphologic presentation. Although molecular profiling has emerged as a valuable tool in salivary gland tumor classification, the genetic landscape of MECA remains incompletely defined.
View Article and Find Full Text PDFJ Neuromuscul Dis
September 2025
Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA.
Background: Electrical impedance myography (EIM) has been proposed as an efficient, non-invasive biomarker of muscle composition in facioscapulohumeral muscular dystrophy (FSHD).
Objective: We investigate whether EIM parameters are associated with muscle structure measured by magnetic resonance imaging (MRI), muscle histology, and transcriptomic analysis as well as strength at the individual leg muscle level.
Methods: We performed a multi-center cross-sectional study enrolling 33 patients with FSHD.
J Am Chem Soc
September 2025
Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou 215123, Jiangsu P. R. China.
Advances in molecular analysis and characterization techniques should revolutionize the methods for scientific exploration across physics, chemistry, and biology, fundamentally overturning our understanding of interactions and processes that govern molecular behavior at the microscopic level. Currently, the absence of a molecular analysis method that can both quantify molecules and achieve single-molecule spatial resolution hinders our study of complex molecular systems in sorption and catalysis. Here, we propose a quantitative analysis strategy for small molecules confined in ZSM-5, a zeolite material extensively used in catalysis and gas separation, based on low-dose transmission electron microscopy.
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