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| http://dx.doi.org/10.1007/s13346-022-01180-z | DOI Listing |
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SDF4CHD: Generative modeling of cardiac anatomies with congenital heart defects.
Med Image Anal
October 2024
Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA; Department of Pediatrics, Stanford University, Stanford, CA, USA; Cardiovascular Institute, Stanford University, Stanford, CA, USA; Department of Cardiothoracic Surgery, Stanford University, Stanford, CA, USA. Electronic address:
Congenital heart disease (CHD) encompasses a spectrum of cardiovascular structural abnormalities, often requiring customized treatment plans for individual patients. Computational modeling and analysis of these unique cardiac anatomies can improve diagnosis and treatment planning and may ultimately lead to improved outcomes. Deep learning (DL) methods have demonstrated the potential to enable efficient treatment planning by automating cardiac segmentation and mesh construction for patients with normal cardiac anatomies.
View Article and Find Full Text PDFExploring Ring Conformation in Uronate Monosaccharides: Insights from Calculations and Classical Molecular Dynamics Simulations.
J Phys Chem B
January 2024
Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences, Niezapominajek 8, 30-239 Krakow, Poland.
The study focuses on the conformational properties of biologically relevant monosaccharides belonging to the group of uronates: α-l-iduronate, O-sulfated-α-l-iduronate, and O-sulfated-α-l-guluronate, either unfunctionalized or O-methylated. We applied the previously proposed two-step methodology, combining classical MD simulations and subsequent (QM) calculations, performed on a rationally subsampled set of molecular configurations. We found that, regardless of the number of molecular configurations considered, the level of theory, and the weighting scheme applied, none of the QM approaches is capable of predicting the correct conformational equilibrium of sulfated iduronates as long as the tight counterion binding is not considered.
View Article and Find Full Text PDF3-D reconstruction of rice leaf tissue for proper estimation of surface area of mesophyll cells and chloroplasts facing intercellular airspaces from 2-D section images.
Ann Bot
December 2022
Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464-8601, Japan.
Background And Aims: The surface area of mesophyll cells (Smes) and chloroplasts (Sc) facing the intercellular airspace (IAS) are important parameters for estimating photosynthetic activity from leaf anatomy. Although Smes and Sc are estimated based on the shape assumption of mesophyll cells (MCs), it is questionable if the assumption is correct for rice MCs with concave-convex surfaces. Therefore, in this study, we establish a reconstruction method for the 3-D representation of the IAS in rice leaf tissue to calculate the actual Smes and Sc with 3-D images and to determine the correct shape assumption for the estimation of Smes and Sc based on 2-D section images.
View Article and Find Full Text PDFCorrection: Shape-specific microfabricated particles for biomedical applications: a review.
Drug Deliv Transl Res
August 2022
Laboratory of Nanotechnology for Precision Medicine, Istituto Italiano Di Tecnologia, Via Morego, 30, 16163, Genoa, Italy.
Leaf size estimation based on leaf length, width and shape.
Ann Bot
September 2021
Department of Biological Sciences, Macquarie University, NSW 2109, Australia.
Background And Aims: Leaf size has considerable ecological relevance, making it desirable to obtain leaf size estimations for as many species worldwide as possible. Current global databases, such as TRY, contain leaf size data for ~30 000 species, which is only ~8% of known species worldwide. Yet, taxonomic descriptions exist for the large majority of the remainder.
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