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Synthesis of MR fingerprinting information from magnitude-only MR imaging data using a parallelized, multi network U-Net convolutional neural network.
Front Radiol
December 2024
Department of Radiology, Mayo Clinic, Rochester, MN, United States.
Article Synopsis
- MR fingerprinting (MRF) is an innovative technique for measuring MR relaxometry with high precision, but its complex data requirements hinder its widespread use.
- A deep learning (DL) network, specifically a U-Net, was created to synthesize MRF signals from regular magnitude-only MRI data collected from 37 volunteers, comparing the results with actual acquired MRF signals.
- The study found strong concordance between synthesized and actual MRF data, indicating that DL can enable quantitative relaxometry without the need for specialized MRF pulse sequences.
Patient Insights on Integrating Sleep Apnea Testing into Routine Stroke and TIA Care.
J Patient Exp
December 2024
Pain Research, Informatics, and Multi-morbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, USA.
AHA/ASA guidelines recommend patients with ischemic stroke or transient ischemic attack (TIA) be considered for obstructive sleep apnea (OSA) evaluation, given the high prevalence of OSA and improved outcomes for cerebrovascular disease when OSA is treated. However, OSA testing has not been incorporated into routine cerebrovascular management. We interviewed 30 patients hospitalized for acute stroke/TIA at six Veterans Affairs facilities participating in a stepped-wedge implementation trial to improve timely OSA testing after stroke/TIA.
View Article and Find Full Text PDFSEAD reference panel with 22,134 haplotypes boosts rare variant imputation and genome-wide association analysis in Asian populations.
Nat Commun
December 2024
Center for Health and Data Science (CHDS), the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Limited whole genome sequencing (WGS) studies in Asian populations result in a lack of representative reference panels, thus hindering the discovery of ancestry-specific variants. Here, we present the South and East Asian reference Database (SEAD) panel ( https://imputationserver.westlake.
View Article and Find Full Text PDFPrecise identification of somatic and germline variants in the absence of matched normal samples.
Brief Bioinform
November 2024
The Department of Medical Oncology, Jilin Cancer Hospital, No. 1066, Jinhu Road, Changchun, 130012, China.
Somatic variants play a crucial role in the occurrence and progression of cancer. However, in the absence of matched normal controls, distinguishing between germline and somatic variants becomes challenging in tumor samples. The existing tumor-only genomic analysis methods either suffer from limited performance or insufficient interpretability due to an excess of features.
View Article and Find Full Text PDFG-cleave LC3B biosensor: monitoring autophagy and assessing resveratrol's synergistic impact on doxorubicin-induced apoptosis in breast cancer cells.
Breast Cancer Res
December 2024
School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, New Taipei City, Taiwan.
Autophagy, a crucial process in cancer, is closely intertwined with both tumor progression and drug resistance development. However, existing methods used to assess autophagy activity often pose invasiveness and time-related constraints, limiting their applicability in preclinical drug investigations. In this study, we developed a non-invasive autophagy detection system (NIADS-autophagy, also called G-cleave LC3B biosensor) by integrating a split-luciferase-based biosensor with an LC3B cleavage sequence, which swiftly identified classic autophagic triggers, such as Earle's Balanced Salt Solution and serum deprivation, through protease-mediated degradation pathways.
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