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We proposed a method to generate synthetic time series of venous blood test values, using a three-parameter log-normal distribution and Graphical Lasso for distribution refinement. Sampling is performed via the inverse function method and Cholesky decomposition to ensure realistic high-dimensional correlations.
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http://dx.doi.org/10.3233/SHTI251248 | DOI Listing |
Curr Med Imaging
September 2025
Department of Pharmacy, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China.
Unlabelled: Leptomeningeal metastasis (LM) is a severe complication of solid malignancies, including lung adenocarcinoma, characterized by poor prognosis and diagnostic challenges. This study assesses whether curvilinear peri-brainstem hyperintense signals on MRI are a characteristic feature of LM in lung adenocarcinoma patients.
Methods: This retrospective study analyzed data from multiple centers, encompassing lung adenocarcinoma patients with peri-brainstem curvilinear hyperintense signals on MRI between January 2016 and March 2022.
Retin Cases Brief Rep
October 2024
Eye Clinic, Humanitas-Gradenigo Hospital, Torino, Italy.
Purpose: To study the efficacy and safety of pro re nata regimen of brolucizumab, without loading dose, in treatment-naive patients with neovascular age-related macular degeneration (nAMD).
Case Series: Retrospective, observational study. We included all consecutive patients diagnosed with treatment- naïve nAMD undergoing Brolucizumab in Humanitas eye clinic, Turin, Italy between April 2022 and May 2023.
Front Rehabil Sci
August 2025
Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA, United States.
Introduction: Spinal cord injury (SCI) presents a significant burden to patients, families, and the healthcare system. The ability to accurately predict functional outcomes for SCI patients is essential for optimizing rehabilitation strategies, guiding patient and family decision making, and improving patient care.
Methods: We conducted a retrospective analysis of 589 SCI patients admitted to a single acute rehabilitation facility and used the dataset to train advanced machine learning algorithms to predict patients' rehabilitation outcomes.
Front Glob Womens Health
August 2025
Department of Medical Laboratory Sciences, School of Allied Health Sciences, University of Health and Allied Sciences, Ho, Ghana.
Background: Vulvovaginal Candidiasis (VVC) is a condition commonly caused by . It is the second most common infection of the female genitalia affecting many women worldwide. Studies have identified unhealthy genital care practices to be associated with the infection among women including expectant mothers.
View Article and Find Full Text PDFRadiol Adv
September 2024
Department of Radiology, Northwestern University and Northwestern Medicine, Chicago, IL, 60611, United States.
Background: In clinical practice, digital subtraction angiography (DSA) often suffers from misregistration artifact resulting from voluntary, respiratory, and cardiac motion during acquisition. Most prior efforts to register the background DSA mask to subsequent postcontrast images rely on key point registration using iterative optimization, which has limited real-time application.
Purpose: Leveraging state-of-the-art, unsupervised deep learning, we aim to develop a fast, deformable registration model to substantially reduce DSA misregistration in craniocervical angiography without compromising spatial resolution or introducing new artifacts.