METASTRA的动态

Ce Liang from Prof Moazen’s lab recently developed a geometrically complete newborn skull model, including various constituents of the craniofacial system i.e., bones, joints, key organs and cavities. This video shows the processes of developing this baseline model from the head CT scan of a normal individual at around 3-month-age. It also highlights the normal craniofacial growth up to 48 months. Check the paper to see how they integrated this biomechanical model with computational algorithms to predict the postnatal craniofacial growth in normal human. Also, this model shows great potential to serve as a powerful tool to study fundamental questions or theories of craniofacial growth and to advance clinical treatment of conditions affecting the craniofacial system such as craniosynostosis.

I’m thrilled to share my first publication in Biomimetics: "The Contribution of the Limbus and Collagen Fibrils to Corneal Biomechanical Properties: Estimation of the Low-Strain In Vivo Elastic Modulus and Tissue Strain"! This collaborative work explores the critical role of the cornea's biomechanical properties, particularly focusing on the limbus and collagen fibrils. Using innovative techniques like Vibrational Optical Coherence Tomography (VOCT), finite element modeling, and machine learning, we shed light on how these structures contribute to corneal stability and prevent conditions like keratoconus, myopia, and glaucoma. This research highlights the potential of integrating biomechanics and machine learning for breakthroughs in ocular health diagnostics and treatment. I would like to express my sincere gratitude to my co-authors for their invaluable contributions and to OptoVibronex LLC for the opportunity to work on this project. Without their expertise and dedication, this research wouldn't have been possible. Read the full study for free here: https://lnkd.in/er8c4Y4g Let’s keep advancing the science of biomechanics and AI to better understand and address ocular health! #Biomechanics #CornealResearch #Keratoconus #MachineLearning #AIinHealth #ScienceInnovation

Ophthopedia Update:Biomechanics-Function in Glaucoma: Improved Visual Field Predictions from IOP-Induced Neural Strains: (1) To assess whether neural tissue structure and biomechanics could predict functional loss in glaucoma; (2) To evaluate the importance of biomechanics in making such predictions. #Ophthalmology #Ophthotwitter #Scicomm

#cbt #academicpublishing Benchmark and validation of state-of-the-art muscle recruitment strategies in shoulder modelling. Authors: Maxence Lavaill, Bart Bolsterlee, Saulo Martelli and Peter Pivonka in collaboration with Claudio Pizzolato (not pictured) Published in Springer Nature Group Link. Read more: https://lnkd.in/gfjCdujY Shoulder muscle forces estimated via modelling are typically indirectly validated against measurements of glenohumeral joint reaction forces (GHJ-RF). This validation study benchmarks the outcomes of several muscle recruitment strategies against public GHJ-RF measurements. A guide has been proposed to best select muscle recruitment strategies. Find more joint research here: ARC Training Centre for Joint Biomechanics More publications from our Centre: https://lnkd.in/gwVZR7eR #medicalmanufacturing #biomedical #medicalengineering #medicalinnovation #medicalresearch #medical #roboticsurgery #3dbioprinting #tissueengineering #biomechanics #collaboration #qut #QUTResearch Read about all the CBT June Academic Publication Highlights: https://lnkd.in/gvnD7NY4

??ACL Participants Needed?? Have you or anyone you work with recently undergone ACL reconstruction? Join our study for a biomechanical assessment. Help advance research and gain insights into your recovery ???? DM us for details ?? #ACLReconstruction #Research #Biomechanics

Computational modeling for mechanobiology Computational models enable quantitative predictions of the cell monolayer’s behavior that can be experimentally tested. Models can help infer biomechanical parameters of monolayers that can hardly be measured in vitro. The accuracy of computational models depends on the quality of data, highlighting the need to improve in vitro and in vivo techniques for measuring monolayer biomechanics. Models can help explain the biophysical processes governing endothelial cell (ENC) and epithelial cell (EPC) monolayer behavior in health and disease. Models can expose differences in EPC and ENC mechanobiological responses likely stemming from the unique functions of their respective tissues. #sciencenewshighlights #ScienceMission https://lnkd.in/g-Kyasqk https://lnkd.in/gATgzMRy

#Publicationupdate Recent research of ANSHUL FAYE and his research group was published in Mechanics of materials Paper title: Micromechanics-based numerical analysis of failure in calcified abdominal aortic aneurysm Research Highlights ? Failure stretches are better candidates for defining tissue failure envelope. ? Calcium-tissue interface properties are essential for the prediction of failure. ? Perfectly intact interface results in stiffer tissues with increasing calcification. ? Effects of calcification morphology on tissue failure are negligible. ? Highly calcified tissues are more isotropic in nature and fail at lower stretches. Paper can be accessed without any subscription from below link: https://lnkd.in/dT7HcvM6 Indian Institute of Technology, Bhilai #Publication #research

?? Over the past decade, multiphoton imaging has increasingly become an indispensable, cutting-edge technology in the field of neuroscience. By combining advanced laser systems with sophisticated optical designs for deep tissue penetration, this innovative method offers unparalleled resolution and precision for InVivo and other studies, especially useful while paired with electrophysiological recordings. Constructed together with leading experts in the field of 2P microspcopy: ?? Unique optics: Ready for 2-/3-photon excitation with customizable laser and scanner configurations such as XY Galvos or high-speed resonance scanners, supporting a unique wide light pass (up to 50 mm) and extra-large field of view for mesoscopic objectives. All components selected for IR optimized wavelength. ?? Easy Imaging acquisition: Our system is equipped with powerful MBF Bioscience tools like the vDAQ? card and a breakout box controlled via ScanImage ? software a cutting-edge microscope solution for synchronous, multiple device managment. ?? Fast, Easy Adaptation: Adjust height manually to fit both behavioral setups like jetballs or LN treadmills as well as in-vitro bath chambers. ?? Multi-Functional, Modular Design: Compatible with all common objective providers, epifluorescence heads, filters, as well as preferred PMTs and light sources. Due to its flexibility, this system will grow with your needs. ?? Precision Control: Equipped with high-quality, multiple decades approved LN micromanipulator technology for precise z-focus and XY table movement incorporates in our smart 3D steering system —ideal for delicate physiological experiments and precise imaging. ?? Engineered design meets function: A flexible dovetail system allows for easy adjustment of all key components while sleek and rigid design support flawless experiments with no distraction factors For further technical information please check our online PDF summary: https://lnkd.in/eS97SguV or have a look at our website: https://lnkd.in/ecekthXq #Neuroscience #Microscopy #MultiphotonImaging #LuigsNeumann

Humans coactivate agonist-antagonist muscles to modulate the limb impedance (stiffness, damping, inertia) in a time- and task-dependent manner, independently from the kinematics of the limb. Estimation of the motor intent in terms of joint kinematics and impedance would therefore be relevant when substituting missing limbs with artificial ones. Laura Ferrante et al. present AIC-UP, a novel framework for Adaptive Impedance Control of Upper-Limb Prosthesis that uses muscle-tendon models, driven by surface electromyographic signals from agonist-antagonist muscle groups, to enable voluntary control of the kinematics, stiffness and damping of a Degree of Freedom of a simulated robot. AIC-UP does not require measurement of joint torque or stiffness to train the models and it is therefore suitable for application in upper-limb prosthesis. For more information, read the article in #IEEE Transactions on Biomedical Engineering(#TBME): https://lnkd.in/daXnWNiB #ProstheticsInnovation #HumanMachineInterface #AdaptiveControl #BiomedicalEngineering #Biomechanics #ProsthesisResearch #IEEEEMBS IEEE Engineering Medicine and Biology Society

Last week, I had the chance to present part of our research at the Dental Biomechanics session at the Virtual Physiological Human Conference, VPH 2024. ?? Our study focused on investigating the “influence of bone quality and dental implant material on stress distribution within the surrounding bone”. Despite numerous animal and clinical studies and meta-analyses, there’s still no consensus on dental implant survival or failure rates in osteoporotic patients. We hypothesized that biomechanical responses in the bone could be quantified using in silico tools, helping to predict the reduction in bone-implant interaction quality in osteoporotic patients. ?? Objective: To analyze how bone quality impacts bone-implant interaction and how different implant materials affect these outcomes. ?? Method: We created an in silico simulation framework by sequentially coupling a musculoskeletal multibody simulation in the AnyBody modeling system with a finite element model in Abaqus. We're grateful for the opportunity to contribute to this important field and would like to thank the VPH committee and the organizers at the University of Stuttgart for hosting such an inspiring event. We’d also like to express our gratitude to the International Team for Implantology (ITI foundation) for their funding and support. Special thanks to my collaborators at FORBIOMIT, including Ann-Kristin B., Jan-Oliver Sass, Christopher Jabs, Dr. Maeruan Kebbach, Dr. Michael Dau, and Prof. Rainer Bader. Learn more about VPH and its impact on in silico medicine here: ?? VPH Conference 2024: https://lnkd.in/epqrtSGh ?? VPH Institute: https://lnkd.in/e3mw-KEK Grateful to ITI and FORBIOMIT: ?? ITI: https://www.iti.org/ ?? FORBIOMIT Lab: https://lnkd.in/em4k82vA Looking forward to further discussions and insights from my colleagues in the field! Feel free to share your thoughts. #BiomechanicalModeling #PatientSpecificModeling #MusculoskeletalSimulation #FiniteElementAnalysis #DentalImplants #Osteoporosis #VPH2024 #InSilicoModeling #Biomechanics #ITI