ArticleComputational and mathematical methods in medicine2019
A Pilot Study of Parameter-Optimized Low-Intensity Pulsed Ultrasound Stimulation for the Bone Marrow Mesenchymal Stem Cells Viability Improvement.
Article in Computational and mathematical methods in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Harnessing piezoelectricity for bone tissue engineering: recapitulating the electrophysiological microenvironment through smart biomaterials.Frontiers in bioengineering and biotechnology · 2026Review
- The Effects and Mechanisms of Low-Intensity Pulsed Ultrasound on Bone Remodeling: From Laboratory to Clinic.Biomolecules · 2025Review
- 3D-printed zinc oxide nanoparticles modified barium titanate/hydroxyapatite ultrasound-responsive piezoelectric ceramic composite scaffold for treating infected bone defects.Bioactive materials · 2025Article
- Application of low-intensity pulsed ultrasound on tissue resident stem cells: Potential for ophthalmic diseases.Frontiers in endocrinology · 2023Review
- Latest progress in low-intensity pulsed ultrasound for studying exosomes derived from stem/progenitor cells.Frontiers in endocrinology · 2023Review
- Advances in the application of low-intensity pulsed ultrasound to mesenchymal stem cells.Stem cell research & therapy · 2022Review
Corrections and comments
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Authors and funding
11 authors.
Funding
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Abstract
To investigate how a back propagation neural network based on genetic algorithm (GA-BPNN) optimizes the low-intensity pulsed ultrasound (LIPUS) stimulation parameters to improve the bone marrow mesenchymal stem cells (BMSCs) viability further. The LIPUS parameters were set at various frequencies (0.6, 0.8, 1.0, and 1.2 MHz), voltages (5, 6, 7, and 8 V), and stimulation durations (3, 6, and 9 minutes). As only some discrete points can be set up in the experiments, the optimal LIPUS stimulation parameter may not be in the value of these settings. The GA-BPNN algorithm is used to optimize parameters of LIPUS to increase the BMSCs viability further. The BMSCs viability of the LIPUS-treated group was improved up to 19.57% (
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