#Tissue-engineering

[bpod-bpod]

Rooting for You

Deep underground, bargains are made between living things. Symbiotic relationships allow fungi to weave their whisker-like hyphae among the roots of plants. This is mutually beneficial: the fungus is rewarded with nutrients while expanding the plant’s thirsty root system. But this biological bonding might benefit us too. Here, researchers grow a plant in a pit of sandy silica nanoparticles. Its roots burrow tunnels in the particles which then harden after a blast of extreme heat, a process known as sintering which leaves a network of tiny channels behind in the transformed glass. A blue liquid is sucked through the tunnels via capillary action, similar to how chemicals move into and around our tissues. Such techniques might allow tissue engineers to explore new designs for microfluidic devices, using plants and fungi as tiny biodegradable scaffolds.

Written by John Ankers

Clip from a video from work by Tetsuro Koga, Shota Nakashima & Fujio Tsumori

Department of Aeronautics and Astronautics, Graduate School of Kyushu University, Fukuoka, Japan

Video originally published with a Creative Commons Attribution – NonCommercial – NoDerivs (CC BY-NC-ND 4.0)

Published in Scientific Reports, September 2024

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[truestfeeiing]

hiiii if I’m not too late, I’d love to hear your answers to 4 and 12 🫶

hiii thanks so much for the ask, empress!!!! no omg you're not too late, i love to yap about writing and also listening to writers yap.... thank you so much....... as you can see, i've written far too much for a light read below. and i hope you don't mind spoilers (for my own work lol).

4. a story idea you haven't written yet

MELLOBOT!!! i'll discuss it briefly. Basically, it's a sci-fantasy au where something similar to the Kira case still goes down, but a Terminator-esque war between machine and humans break out (advent of AI, etc etc). Near creates a homunculus of Mello with the help of Gevanni in exchange for his services as an AI and android scientist, and so Near inadvertently becomes drawn into the side of the machines. Mellobot, as i've affectionately dubbed him, is an amalgam of developing AI and tissue engineering, so Near raises him from birth, essentially, and this time he makes sure Mellobot receives all the love the real Mello never got. As Mellobot grows older and learns the truth of his existence, the tides of war shift to the human side as AI technology destabilizes. Near has to grapple with his growingly complicated feelings about Mello, his believed-dead love interest, and Mellobot, technically his son but maturing quickly into the face of the man he loved and a painful reminder...

and, of course, who stands on the other side of the war, taking down war machines and thwarting cyber attacks? the living, breathing Mello!!!!!!!!!! Screams!!!!!!!!

it's a story that i have shared one snippet of, and i plan to end it at its climax. It will be Quite the longfic, it will be pretty angsty but more like, depressing and bittersweet? And philosophical? But it will be exciting, and quite sexy at times... heheh... /gets shot I'm happy about the idea because it incorporates a lot of sci-fi themes I love, but i admit that i need to read and research more before i can truly get started writing it.

12. a trope you're really into right now

100000% came-back-wrong stories. as you can see, both ikiryo and mellobot (temp name) are came-back-wrong stories, in a way. i just find something so deliciously tragic about reuniting with someone you love only to find them not quite the same as before... and how to fill that space of uncertainty: will there be new love, or will it destroy what little love remained? is it more painful to start over or continue a charade? pet sematary by Stephen King is a pretty good exploration of the psyche of how someone reaches a breaking point where they're willing to win back love, in whatever form they can get, even if it comes back not quite right (disastrously wrong).

some forms of came-back-wrong i really like: androids/robots breaking down/getting corrupted, ghosts returning from the afterlife, someone who gets irreversibly changed by their trauma, amnesia...

full list of asks here, i will answer any and all of them with burgeoning enthusiasm

[trendtrackershq]

𝑻𝒉𝒆 𝑻𝒊𝒔𝒔𝒖𝒆 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓𝒊𝒏𝒈 𝑴𝒂𝒓𝒌𝒆𝒕 𝒊𝒔 𝑩𝒐𝒐𝒎𝒊𝒏𝒈! 𝑨𝒓𝒆 𝒀𝒐𝒖 𝒊𝒏 𝒕𝒉𝒆 𝑲𝒏𝒐𝒘? 𝑺𝒆𝒄𝒖𝒓𝒆 𝒂 𝑭𝑹𝑬𝑬 𝑺𝒂𝒎𝒑𝒍𝒆: https://www.nextmsc.com/tissue-engineering-market/request-sample

The 𝑻𝒊𝒔𝒔𝒖𝒆 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓𝒊𝒏𝒈 𝑴𝒂𝒓𝒌𝒆𝒕 is expected to reach a staggering $17.97 billion by 2030, driven by advancements in biomaterials, stem cell research, and 3D printing technologies. This rapidly growing field holds immense potential to revolutionize healthcare by providing new solutions for: 𝑶𝒓𝒈𝒂𝒏 𝒕𝒓𝒂𝒏𝒔𝒑𝒍𝒂𝒏𝒕𝒂𝒕𝒊𝒐𝒏: Lab-grown organs could eliminate waitlists and revolutionize transplant procedures. 𝑹𝒆𝒈𝒆��𝒆𝒓𝒂𝒕𝒊𝒗𝒆 𝒎𝒆𝒅𝒊𝒄𝒊𝒏𝒆: Engineered tissues could help patients heal from injuries and diseases more effectively. 𝑫𝒓𝒖𝒈 𝒅𝒊𝒔𝒄𝒐𝒗𝒆𝒓𝒚: Tissue models can be used to test new drugs and therapies more efficiently and ethically. 𝑲𝒆𝒚 𝑷𝒍𝒂𝒚𝒆𝒓𝒔: Organogenesis AbbVie Baxter International Inc. Terumo Medical Corporation Teijin Limited Straumann Group Integra LifeSciences Medtronic MiMedx 𝑨𝒄𝒄𝒆𝒔𝒔 𝑭𝒖𝒍𝒍 𝑹𝒆𝒑𝒐𝒓𝒕: https://www.nextmsc.com/report/tissue-engineering-market Are you a professional in the tissue engineering space? Join the conversation and share your expertise in the comments below!

[ichorblossoms]

what's a story with guns without a fun little game of russian roulette

[adamworu]

Why does lilith/unit 01 grow eyes in their empty sockets upon seeing shinji in episode 2 or 3 snd EoE?

Someone points out that via this storyboard that Evas can sort of heal lost parts. I think if the wounds are not so dire that this can happen. Unit-01 just 'waves' the damaged arm from Sachiel. It's restoration to a degree. Since the eye wound wasn't too damaged, that could probably explain the eye.

[blogomonaco]

Tissue Engineering market

Biofabrication is an emerging field that combines the principles of tissue engineering with advanced manufacturing techniques to create complex three-dimensional tissues and organs.

Read More: https://blogconnoisseur.blogspot.com/2023/06/regenerative-medicine-unleashing.html

[materialsscienceandengineering]

New hydrogel semiconductor could lead to better tissue-interfaced bioelectronics

The ideal material for interfacing electronics with living tissue is soft, stretchable, and just as water-loving as the tissue itself—in short, a hydrogel. Semiconductors, the key materials for bioelectronics such as pacemakers, biosensors, and drug delivery devices, on the other hand, are rigid, brittle, and water-hating, impossible to dissolve in the way hydrogels have traditionally been built. A paper published today in Science from the UChicago Pritzker School of Molecular Engineering (PME) has solved this challenge that has long stymied researchers, reimagining the process of creating hydrogels to build a powerful semiconductor in hydrogel form. Led by Asst. Prof. Sihong Wang's research group, the result is a bluish gel that flutters like a sea jelly in water but retains the immense semiconductive ability needed to transmit information between living tissue and machine. The material demonstrated tissue-level moduli as soft as 81 kPa, stretchability of 150% strain, and charge-carrier mobility up to 1.4 cm2 V-1 s-1. This means their material—both semiconductor and hydrogel at the same time—ticks all the boxes for an ideal bioelectronic interface.

Read more.

[lawful-swampy]

Quick confession: every time I'm unemployed I do apply for a position at colossal bs... not for de-extinction(that's literally just to get investors money with headlines) but bc am technically a dev biologist and it would make me happy to actually work in devbio instead of immunoncology/generic med.

[nirdosh-jagota]

How AI is Pioneering Breakthroughs in Tissue Engineering and Regenerative Medicine

Tissue engineering has always been full of promise, but turning that promise into reality has been a slow process. AI is changing that. I’ve seen firsthand how machine learning is accelerating biomaterial design, optimizing cell culture conditions, and making regenerative medicine more personalized. AI’s ability to analyze complex biological data at a speed no human could match is pushing the field forward, allowing us to create better scaffolds, improve clinical translation, and refine imaging techniques. What once took years of trial and error is now being streamlined, opening the door to engineered tissues that integrate seamlessly into the human body. This isn’t just a theoretical shift—it’s happening in labs and clinics right now, shaping the future of medicine.

AI is Redesigning Biomaterials for Better Tissue Growth

One of the biggest challenges in tissue engineering has always been selecting the right biomaterials. The materials used in scaffolds need to mimic the body’s extracellular matrix while supporting cell attachment and growth. Before AI, this was a painstaking process of trial and error. Now, AI-driven models analyze thousands of biomaterial compositions in a fraction of the time, predicting how they’ll perform in real biological environments.

I’ve worked with teams using AI to design polymer-based scaffolds that enhance tissue regeneration while maintaining structural integrity. These models take into account factors like porosity, mechanical strength, and degradation rates, ensuring that the materials we select provide the best outcomes. With AI guiding the way, we’re developing biomaterials that are more biocompatible, durable, and effective at supporting cell growth.

AI is Optimizing Cell Culture Conditions for Faster Growth

Growing lab-based tissues that function like real human tissues is no small feat. Cells are incredibly sensitive to their environment—slight changes in temperature, pH, or nutrient levels can make or break an experiment. AI is now helping to fine-tune these conditions with an unmatched level of precision.

By analyzing historical data from past cell culture experiments, machine learning models can determine the best growth conditions for specific cell types. AI can even predict how cells will react to changes in their environment, allowing for real-time adjustments. The result? Faster-growing, more functional tissues that behave just as they would inside the human body. This level of control is making tissue engineering more predictable, scalable, and ready for clinical applications.

AI is Making Regenerative Medicine More Personalized

One of the most exciting developments in AI-driven tissue engineering is its role in personalized medicine. Instead of using a one-size-fits-all approach, AI allows us to tailor regenerative therapies to the unique biology of each patient.

For conditions like osteoarthritis, AI can analyze a patient’s genetic data and medical history to predict how their body will respond to different biomaterials. This allows us to design customized tissue scaffolds that integrate more effectively with their existing cells, reducing rejection risks and improving outcomes. The goal is to make regenerative medicine as individualized as possible, ensuring that treatments are optimized for each person rather than relying on generalized models.

AI is Transforming Scaffold Design and Fabrication

Scaffolds are the backbone of tissue engineering—they provide the structure that cells need to grow and form functional tissues. But designing scaffolds that mimic the complexity of human tissue has always been difficult. AI-driven modeling tools are now changing that, allowing us to create intricate structures optimized for cell adhesion, nutrient flow, and mechanical strength.

AI-powered 3D printing techniques have been particularly groundbreaking. By feeding machine learning models with data on different scaffold materials and designs, we can now print structures with micron-level precision. This has allowed us to produce scaffolds that closely resemble natural tissues, improving the chances of successful implantation and regeneration. The ability to rapidly prototype and refine designs has cut development time dramatically, making lab-grown tissues more viable for clinical use.

AI is Accelerating Clinical Translation

One of the biggest hurdles in tissue engineering has always been translating lab discoveries into real-world treatments. Many promising therapies never make it past clinical trials due to unforeseen complications or regulatory barriers. AI is helping us bridge that gap.

By analyzing past clinical trial data, AI can predict which tissue engineering products are most likely to succeed. It can flag potential safety concerns, suggest modifications before human trials even begin, and streamline regulatory approval processes. AI is also being used to track long-term patient outcomes, giving us real-time feedback on how engineered tissues integrate with the body. This allows for continuous refinement of our techniques, ensuring that new therapies are both safe and effective.

AI is Improving Imaging and Diagnostics in Tissue Engineering

Once engineered tissues are implanted, monitoring their integration and function is critical. AI-driven imaging analysis is making this process far more precise. Instead of relying solely on human interpretation of MRI and CT scans, AI can detect subtle changes in tissue structure that may indicate successful integration or potential issues.

These AI models can also track the regeneration process over time, helping us understand how different scaffolds and biomaterials perform in the long run. This data is invaluable—it allows us to continuously improve our designs and ensure that engineered tissues function as intended. With AI’s ability to process and interpret vast amounts of imaging data, we’re getting a clearer picture of how regenerative treatments behave in real-world conditions.

How AI is Transforming Tissue Engineering

Biomaterial Design: AI predicts the best scaffold compositions.

Cell Culture Optimization: AI fine-tunes conditions for better cell growth.

Personalized Medicine: AI customizes regenerative treatments for patients.

Scaffold Fabrication: AI enhances 3D printing for tissue engineering.

Clinical Translation: AI improves approval processes for new therapies.

Imaging and Diagnostics: AI enhances monitoring of tissue regeneration.

In Conclusion

Tissue engineering and regenerative medicine are undergoing a massive transformation thanks to AI. From selecting biomaterials to optimizing cell culture conditions and creating personalized treatments, AI is accelerating progress in ways we never thought possible. It’s also making clinical translation more efficient, ensuring that these advancements move beyond research labs and into real-world medical applications. The integration of AI into regenerative medicine isn’t just a trend—it’s a fundamental shift that’s shaping the future of healthcare. As research continues, AI will only become more embedded in the process, refining our techniques and making once-unattainable treatments a reality.

"For more insights on how AI is revolutionizing tissue engineering and regenerative medicine, visit my profile on WordPress."

[shoggothgf]

i love searching pubmed whenever i see an unfamiliar additive in my food to figure out if its a trigger lol

[industryexperts]

(via Tissue Engineering Market Size, Outlook 2024-2030)

[phdwritingassistance]

Biomaterials are at the forefront of regenerative medicine and implant technology! 🌱🔬 From creating sustainable solutions to advancing healthcare, these innovations are shaping the future of medical science. Discover how science and nature unite for better healing! 🌟

[materialsscienceandengineering]

3D-printed blood vessels bring artificial organs closer to reality

Growing functional human organs outside the body is a long-sought "holy grail" of organ transplantation medicine that remains elusive. New research from Harvard's Wyss Institute for Biologically Inspired Engineering and John A. Paulson School of Engineering and Applied Science (SEAS) brings that quest one big step closer to completion. A team of scientists has created a new method to 3D-print vascular networks that consist of interconnected blood vessels possessing a distinct "shell" of smooth muscle cells and endothelial cells surrounding a hollow "core" through which fluid can flow, embedded inside a human cardiac tissue. This vascular architecture closely mimics that of naturally occurring blood vessels and represents significant progress toward being able to manufacture implantable human organs.

Read more.