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[The medical biologist "under the microscope" : analysis of digital images depicting laboratory medicine].
Ann Pharm Fr
March 2025
Service de Biochimie, Hôpital Necker-Enfants Malades, Assistance Publique des Hôpitaux de Paris, France; Université Paris-Cité, Faculté de Pharmacie de Paris, France.
In France, the practice of laboratory medicine has, over the past ten years or so, met with a certain amount of disenchantment from medical students. Despite its intricacy and importance to healthcare, the world of the clinical laboratory lacks visibility in medical studies. While other phenomena can explain this disenchantment, our belief in the importance of promoting greater visibility of laboratory medicine in medical studies led us to examine for this article the images and symbols associated with the profession, based on a semiotic analysis.
View Article and Find Full Text PDFStacked machine learning models for accurate estimation of shear and Stoneley wave transit times in DSI log.
Sci Rep
March 2025
School of Engineering, Shiraz University, Shiraz, Iran.
Accurate estimates of the shear and Stoneley wave transit times are important for seismic analysis, rock mechanics, and reservoir characterization. These parameters are typically obtained from dipole shear sonic imager (DSI) logs and are instrumental in determining the mechanical properties of formations. However, DSI log may contain inconsistent and missing data caused by various factors, such as salt layers and spike phenomenon, which can cause difficulties in analyzing and interpreting log data.
View Article and Find Full Text PDFUtilization of machine learning approach for production of optimized PLGA nanoparticles for drug delivery applications.
Sci Rep
March 2025
Department of Chemistry, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), P.O. Box 90950, 11623, Riyadh, Saudi Arabia.
This study investigates utilization of machine learning for the regression task of predicting the size of PLGA (Poly lactic-co-glycolic acid) nanoparticles. Various inputs including category and numeric were considered for building the model to predict the optimum conditions for preparation of nanosized PLGA particles for drug delivery applications. The proposed methodology employs Leave-One-Out (LOO) for categorical feature transformation, Local Outlier Factor (LOF) for outlier detection, and Bat Optimization Algorithm (BA) for hyperparameter optimization.
View Article and Find Full Text PDFDynamic contrast-enhanced ultrasound (DCEUS) is an imaging modality for assessing microvascular perfusion and dispersion kinetics. However, the presence of speckle noise may hamper the quantitative analysis of the contrast kinetics. Common speckle denoising techniques based on low-rank approximations typically model the speckle noise as white Gaussian noise (WGN) after the log transformation and apply matrix-based algorithms.
View Article and Find Full Text PDFAccuracy and clinical outcomes in total knee arthroplasty using an image-free navigation system.
Arch Orthop Trauma Surg
March 2025
Department of Orthopaedic Surgery, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu, Mie, 514-8507, Japan.
Introduction: The purpose of this study was to investigate the accuracy of an image-free navigation system and to investigate the effect of the postoperative coronal lower limb alignment and implant alignment on clinical outcomes following mechanically aligned (MA)-total knee arthroplasty (TKA).
Materials And Methods: In this retrospective study, 180 primary cemented posterior-stabilized TKAs were performed using an image-free navigation system. Patients were divided into groups based on their postoperative hip-knee-ankle angle (HKA; a neutral HKA group [0 ± 3°] and an outlier group [<-3° or > 3°]), lateral distal femoral angle (LDFA; a neutral LDFA group [90 ± 3°] and an outlier group [< 87° or > 93°]), and medial proximal tibial angle (MPTA; a neutral MPTA group [90 ± 3°] and an outlier group [< 87° or > 93°]).
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