{"id":653504,"date":"2025-02-14T09:15:17","date_gmt":"2025-02-14T06:15:17","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/machine-learning-transforms-mini-biohybrid-ray-design-doubling-swimming-efficiency\/"},"modified":"2025-02-14T09:15:17","modified_gmt":"2025-02-14T06:15:17","slug":"machine-learning-transforms-mini-biohybrid-ray-design-doubling-swimming-efficiency","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/machine-learning-transforms-mini-biohybrid-ray-design-doubling-swimming-efficiency\/","title":{"rendered":"#Machine learning transforms mini biohybrid ray design, doubling swimming efficiency"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a2eaf0245af5\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #dd3333;color:#dd3333\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #dd3333;color:#dd3333\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a2eaf0245af5\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/buradabiliyorum.com\/en\/machine-learning-transforms-mini-biohybrid-ray-design-doubling-swimming-efficiency\/#Limitations_of_the_biomimetic_approach\" >Limitations of the biomimetic approach<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/buradabiliyorum.com\/en\/machine-learning-transforms-mini-biohybrid-ray-design-doubling-swimming-efficiency\/#The_design_breakthroughs_of_machine_learning\" >The design breakthroughs of machine learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/buradabiliyorum.com\/en\/machine-learning-transforms-mini-biohybrid-ray-design-doubling-swimming-efficiency\/#Looking_ahead\" >Looking ahead<\/a><\/li><\/ul><\/nav><\/div>\n<div>\n<div class=\"article-gallery lightGallery\">\n<div data-thumb=\"https:\/\/scx1.b-cdn.net\/csz\/news\/tmb\/2025\/machine-learning-trans.jpg\" data-src=\"https:\/\/scx2.b-cdn.net\/gfx\/news\/hires\/2025\/machine-learning-trans.jpg\" data-sub-html=\"Biohybrid ray fabrication. Credit: &lt;i&gt;Science Robotics&lt;\/i&gt; (2025). DOI: 10.1126\/scirobotics.adr6472\">\n<figure class=\"article-img\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/scx1.b-cdn.net\/csz\/news\/800a\/2025\/machine-learning-trans.jpg\" alt=\"Machine learning transforms biohybrid ray design, doubling swimming efficiency\" title=\"Biohybrid ray fabrication. Credit: Science Robotics (2025). DOI: 10.1126\/scirobotics.adr6472\" width=\"800\" height=\"334\"\/><figcaption class=\"text-darken text-low-up text-truncate-js text-truncate mt-3\">\n                Biohybrid ray fabrication. Credit: <i><a href=\"https:\/\/buradabiliyorum.com\/en\/category\/sciencee\/\" data-internallinksmanager029f6b8e52c=\"5\" title=\"Science\" target=\"_blank\" rel=\"noopener\">Science<\/a> Robotics<\/i> (2025). DOI: 10.1126\/scirobotics.adr6472<br \/>\n            <\/figcaption><\/figure>\n<\/p><\/div>\n<\/div>\n<p>A new study shows an <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/download-scripts-themes-apps\/\" data-internallinksmanager029f6b8e52c=\"9\" title=\"Download Scripts &amp; Themes &amp; Apps\" target=\"_blank\" rel=\"noopener\">app<\/a>lication of machine-learning directed optimization (ML-DO) that efficiently searches for high-performance design configurations in the context of biohybrid robots. Applying a machine learning approach, the researchers created mini biohybrid rays made of cardiomyocytes (heart muscle cells) and rubber with a wingspan of about 10 mm that are approximately two times more efficient at swimming than those recently developed under a conventional biomimetic approach.<\/p>\n<p>A team led by Harvard SEAS Postdoctoral Fellow John Zimmerman and including NTT Research Medical and Health Informatics Scientist Ryoma Ishii, Harvard SEAS Tarr Family Professor of Bioengineering and Applied Physics Kevin Kit Parker, and members of the Harvard SEAS Disease Biophysics Group led by Parker demonstrated this research in a new paper <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.science.org\/doi\/10.1126\/scirobotics.adr6472\" target=\"_blank\">published<\/a> in <i>Science Robotics<\/i> titled, &#8220;Bioinspired Design of a Tissue Engineered Ray with Machine Learning.&#8221;<\/p>\n<p>&#8220;This research seeks to answer a fundamental question in the development of biohybrid robots, in this case the marine ray: How do we select fin geometries to operate under novel working environments while preserving natural scaling laws in terms of swimming speed and efficiency,&#8221; said Ishii, who also works as a visiting scientist for Harvard University.<\/p>\n<p>&#8220;Our research indicates the application of ML-DO, inspired by protein engineering, offers a more efficient and less computationally intensive path forward in automating the creation of muscular structure-function relationships.&#8221;<\/p>\n<figure class=\"mb-4\" itemscope=\"\" itemtype=\"http:\/\/schema.org\/VideoObject\">\n    <meta itemprop=\"name\" content=\"Scientists optimize biohybrid ray development with machine learning\"\/><br \/>\n    <meta itemprop=\"url\" content=\"https:\/\/www.youtube.com\/watch\/?v=C8HZWfQgrhY\"\/><br \/>\n    <meta itemprop=\"description\" content=\"Scientists optimize biohybrid ray development with machine learning\"\/><br \/>\n    <meta itemprop=\"uploadDate\" content=\"2025-02-13T16:59:23-05:00\"\/><br \/>\n        <meta itemprop=\"embedUrl\" content=\"https:\/\/www.youtube.com\/embed\/C8HZWfQgrhY\"\/><br \/>\n    <meta itemprop=\"thumbnailUrl\" content=\"https:\/\/img.youtube.com\/vi\/C8HZWfQgrhY\/maxresdefault.jpg\"\/><\/p>\n<p>\n             <iframe loading=\"lazy\" title=\"Neural Network Directed Optimization of Biohybrid Miniray Fin Shape\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/C8HZWfQgrhY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n         <\/p>\n<\/figure>\n<h2><span class=\"ez-toc-section\" id=\"Limitations_of_the_biomimetic_approach\"><\/span>Limitations of the biomimetic approach<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>In biomimetic design, the conventional approach to biohybrids, engineers form functional devices by recreating existing biological structures. That approach, however, has limits. For biohybrid lifeforms that resemble batoid fishes (skates and rays), for example, there is a wide range of natural aspect ratios and fin morphologies. Which ones do you mimic?<\/p>\n<p>Also, biomimetics may neglect the natural biomechanical and hydrodynamic forces that govern how fast an organism can swim based on its size and body kinematics, leading to inefficient muscle mass and limited swimming speeds.<\/p>\n<p>In that light, the motivating question in this study became: How to select fin geometries that operate under novel working environments while preserving natural scaling laws in terms of swimming speed and efficiency?<\/p>\n<p>                                                                                                        <!-- TechX - News - In-article --><\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_design_breakthroughs_of_machine_learning\"><\/span>The design breakthroughs of machine learning<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The multi-disciplinary and iterative nature of the problem required computationally intensive modeling, but the team believed that directed optimization by machine learning (ML-DO) would enable an efficient search for fin designs that maximized their relative swimming speeds.<\/p>\n<p>They based their hypothesis in part on a trial function that demonstrated an approximately 40 percent improvement of ML-DO over other leading methods in recognizing known high-rank sequences. Testing the assumption involved three steps: 1) developing an algorithm for expressing a multitude of different fin geometries; 2) describing a <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/general\/\" data-internallinksmanager029f6b8e52c=\"3\" title=\"General\" target=\"_blank\" rel=\"noopener\">general<\/a>ized ML-DO approach for searching within a large discontinuous configuration space; and 3) using this methodology to identify biohybrid fin geometries for high-performance swimming with smooth and orderly flow.<\/p>\n<p>The ML-DO-driven results included a quantitative exploration of fin structure-function relationships and reconstruction of general trends in open-sea batoid morphology, as well as a winning design: Fins with large aspect ratios and fine tapered tips, which preserved their utility across multiple length-scales of swimming.<\/p>\n<p>On that basis, the team built biohybrid mini-rays out of engineered cardiac muscle tissue, which were capable of self-propelled swimming at the millimeter length scale and demonstrated improved swimming efficiencies approximately two times greater than observed in previous biomimetic designs.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Looking_ahead\"><\/span>Looking ahead<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>While promising, researchers note that additional work is needed to completely match natural scaling laws. While the devices presented in this study demonstrated greater efficiency than other recent biomimetic designs, they were still slightly less efficient on average than naturally occurring marine lifeforms.<\/p>\n<p>In the future, researchers expect to continue the development of biohybrid robotics for use cases, including remote sensors, probes for dangerous working environments and as therapeutic delivery vehicles. Researchers believe that the ML-DO-informed approach better mimics the selective pressures of evolution, enabling them to better understand how biological tissues are shaped\u2014both in a healthy physiology as well as the maladaptive pathophysiology of disease. Additionally, this research advances scientific understanding of 3D organ biofabrication, such as a biohybrid heart.<\/p>\n<div class=\"article-main__more p-4\">\n<p><strong>More information:<\/strong><br \/>\n\t\t\t\t\t\t\t\t\t\t\t\tJohn F. Zimmerman et al, Bioinspired design of a tissue-engineered ray with machine learning, <i>Science Robotics<\/i> (2025). <a rel=\"nofollow\" target=\"_blank\" data-doi=\"1\" href=\"https:\/\/dx.doi.org\/10.1126\/scirobotics.adr6472\" target=\"_blank\">DOI: 10.1126\/scirobotics.adr6472<\/a><\/p>\n<\/p><\/div>\n<div class=\"d-inline-block text-medium my-4\">\n                                                Provided by<br \/>\n                                                                                                    Harvard John A. Paulson School of Engineering and Applied Sciences<br \/>\n                                                    \t\t\t\t\t\t\t\t\t\t\t\t\t<a rel=\"nofollow\" target=\"_blank\" class=\"icon_open\" href=\"https:\/\/www.seas.harvard.edu\" target=\"_blank\" rel=\"nofollow\"><br \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<svg>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<use href=\"https:\/\/techx.b-cdn.net\/tmpl\/v2\/img\/svg\/sprite.svg#icon_open\" x=\"0\" y=\"0\"\/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/svg><br \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a><\/p><\/div>\n<p>                                        <!-- print only --><\/p>\n<div class=\"d-none d-print-block\">\n<p>\n                                                <strong>Citation<\/strong>:<br \/>\n                                                Machine learning transforms mini biohybrid ray design, doubling swimming efficiency (2025, February 13)<br \/>\n                                                retrieved 14 February 2025<br \/>\n                                                from https:\/\/techxplore.com\/<a href=\"https:\/\/buradabiliyorum.com\/en\/category\/news\/\" data-internallinksmanager029f6b8e52c=\"2\" title=\"News\" target=\"_blank\" rel=\"noopener\">news<\/a>\/2025-02-machine-mini-biohybrid-ray-efficiency.html\n                                            <\/p>\n<p>\n                                            This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no<br \/>\n                                            part may be reproduced without the written permission. The content is provided for information purposes only.\n                                            <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p><script id=\"facebook-jssdk\" async=\"\" src=\"https:\/\/connect.facebook.net\/en_US\/sdk.js\"><\/script><\/p>\n<blockquote><p><strong><span style=\"color: #ff6600;\">If you liked the article, do not forget to share it with your friends. Follow us on\u00a0<span style=\"color: #ff0000;\"><a style=\"color: #ff0000;\" href=\"https:\/\/news.google.com\/publications\/CAAqBwgKMN63nwsw68G3Aw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Google News<\/a><\/span>\u00a0too, click on the star and choose us from your favorites.<\/span><\/strong><\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\"><strong>If you want to read more Like this articles, you can visit our <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/en.buradabiliyorum.com\/category\/sciencee\/\" target=\"_blank\" >Science category.<\/a><\/span><\/strong><\/p>\n<\/blockquote>\n<p><span style=\"color: black;\"><a style=\"color: #ff9900;\" href=\"https:\/\/techxplore.com\/news\/2025-02-machine-mini-biohybrid-ray-efficiency.html\" target=\"_blank\" >Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Biohybrid ray fabrication. Credit: Science Robotics (2025). DOI: 10.1126\/scirobotics.adr6472 A new study shows an application of machine-learning directed optimization (ML-DO) that efficiently searches for high-performance design configurations in the context of biohybrid robots. Applying a machine learning approach, the researchers created mini biohybrid rays made of cardiomyocytes (heart muscle cells) and rubber with a wingspan&#8230;<\/p>\n","protected":false},"author":1,"featured_media":653505,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/scx2.b-cdn.net\/gfx\/news\/hires\/2025\/machine-learning-trans.jpg","fifu_image_alt":"","footnotes":""},"categories":[16],"tags":[],"class_list":["post-653504","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sciencee"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/653504","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=653504"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/653504\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media\/653505"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=653504"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=653504"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=653504"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}