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Computed tomography dataset virtual dissection for sternal re-entry in congenital cardiac surgery.
Indian J Thorac Cardiovasc Surg
February 2025
Department of Paediatric and Congenital Heart Surgery, Kokilaben Dhirubhai Ambani Hospital and Medical Research Institute, Rao Saheb, Achutrao Patwardhan Marg, Four Bungalows, Andheri West, Mumbai, Maharashtra 400053 India.
Unlabelled: In congenital heart surgery, redo-sternotomies are very common. In most cases, sternal re-entry is achieved without serious complications. However, sometimes elective institution of peripheral cardiopulmonary bypass is needed for safe sternotomy, albeit with a long cardio-pulmonary bypass time.
View Article and Find Full Text PDFA Novel Computational Machine Learning Pipeline to Quantify Similarities in Three-Dimensional Protein Structures.
Toxicol Sci
January 2025
Janssen Research & Development, LLC, La Jolla, California.
Animal models are widely used during drug development. The selection of suitable animal model relies on various factors such as target biology, animal resource availability and legacy species. It is imperative that the selected animal species exhibit the highest resemblance to human, in terms of target biology as well as the similarity in the target protein.
View Article and Find Full Text PDFTranscription factor prediction using protein 3D secondary structures.
Bioinformatics
January 2025
Institute for Computational Systems Biology, Universität Hamburg, Hamburg, 22761, Germany.
Motivation: Transcription factors (TFs) are DNA-binding proteins that regulate gene expression. Traditional methods predict a protein as a TF if the protein contains any DNA-binding domains (DBDs) of known TFs. However, this approach fails to identify a novel TF that does not contain any known DBDs.
View Article and Find Full Text PDFThree-dimensional morphometry of the human thoracic aorta using centerline analysis based on least-squares plane fitting.
JTCVS Open
December 2024
Department of Cardiovascular Surgery, Seirei Mikatahara General Hospital, Hamamatsu, Japan.
Objective: A novel approach to 3-dimensional morphometry of the thoracic aorta was developed by applying centerline analysis based on least-squares plane fitting, and a preliminary study was conducted using computed tomography imaging data.
Methods: We retrospectively compared 3 groups of patients (16 controls without aortic disease, and 16 cases each with acute type B aortic dissection and congenital bicuspid aortic valve). In addition to the standard assessment indices for curvature κ and torsion τ, we conducted coordinate transformation based on the least-squares plane, divided the centerline into 3 representative features (transverse, anterior-posterior, and longitudinal displacements), and analyzed the overall and local displacement in each direction.
Assessment of choroidal vessels in healthy eyes using 3-dimensional vascular maps and a semi-automated deep learning approach.
Sci Rep
January 2025
Department of Ophthalmology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
To assess the choroidal vessels in healthy eyes using a novel three-dimensional (3D) deep learning approach. In this cross-sectional retrospective study, swept-source OCT 6 × 6 mm scans on Plex Elite 9000 device were obtained. Automated segmentation of the choroidal layer was achieved using a deep-learning ResUNet model along with a volumetric smoothing approach.
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