First Organoid Intelligence (OI) workshop to form an OI community DOI Creative Commons
Itzy E. Morales Pantoja, Lena Smirnova,

Alysson R. Muotri

et al.

Frontiers in Artificial Intelligence, Journal Year: 2023, Volume and Issue: 6

Published: Feb. 28, 2023

The brain is arguably the most powerful computation system known. It extremely efficient in processing large amounts of information and can discern signals from noise, adapt, filter faulty all while running on only 20 watts power. human brain's efficiency, progressive learning, plasticity are unmatched by any computer system. Recent advances stem cell technology have elevated field culture to higher levels complexity, such as development three-dimensional (3D) organoids that recapitulate functionality better than traditional monolayer systems. Organoid Intelligence (OI) aims harness innate biological capabilities for biocomputing synthetic intelligence interfacing them with technology. With latest strides technology, bioengineering, machine we explore ability compute, store given (input), execute a task (output), study how this affects structural functional connections themselves. Furthermore, understanding learning generates changes patterns connectivity shed light early stages cognition brain. Investigating these concepts an enormous, multidisciplinary endeavor necessitates engagement both scientific community public. Thus, Feb 22–24 2022, Johns Hopkins University held first Workshop form OI Community lay out groundwork establishment new discipline. potential revolutionize computing, neurological research, drug was discussed, along vision roadmap its over coming decade.

Language: Английский

Three-dimensional liquid metal-based neuro-interfaces for human hippocampal organoids DOI Creative Commons
Yan Wu,

Jinhao Cheng,

Jie Qi

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: May 14, 2024

Abstract Human hippocampal organoids (hHOs) derived from human induced pluripotent stem cells (hiPSCs) have emerged as promising models for investigating neurodegenerative disorders, such schizophrenia and Alzheimer’s disease. However, obtaining the electrical information of these free-floating in a noninvasive manner remains challenge using commercial multi-electrode arrays (MEAs). The three-dimensional (3D) MEAs developed recently acquired only few neural signals due to limited channel numbers. Here, we report cyborg organoid (cyb-organoid) platform coupling liquid metal-polymer conductor (MPC)-based mesh neuro-interface with hHOs. MPC (mMPC) integrates 128-channel multielectrode distributed on small surface area (~2*2 mm). Stretchability (up 500%) flexibility mMPC enable its attachment Furthermore, show that under Wnt3a SHH activator induction, hHOs produce HOPX + PAX6 progenitors ZBTB20 PROX1 dentate gyrus (DG) granule neurons. transcriptomic signatures reveal high similarity developing hippocampus. We successfully detect activities via this cyb-organoid. Compared traditional planar devices, our non-invasive offers an adaptor recording 3D models.

Language: Английский

Citations

16

Dissecting Biological and Synthetic Soft–Hard Interfaces for Tissue-Like Systems DOI
Yin Fang, Xiao Yang, Yiliang Lin

et al.

Chemical Reviews, Journal Year: 2021, Volume and Issue: 122(5), P. 5233 - 5276

Published: Oct. 22, 2021

Soft and hard materials at interfaces exhibit mismatched behaviors, such as chemical or biochemical reactivity, mechanical response, environmental adaptability. Leveraging mitigating these differences can yield interfacial processes difficult to achieve, inapplicable, in pure soft phases. Exploration of mismatches their associated (bio)chemical, mechanical, other physical may numerous opportunities both fundamental studies applications, a manner similar that semiconductor heterojunctions contribution solid-state physics the industry over past few decades. In this review, we explore roles principles involved designing interfaces, (bio)chemical evolution adaptive buffer zones. We discuss spectroscopic, microscopic, computational tools required uncover confined hidden soft–hard interfaces. propose interaction framework use it multiple systems across several spatiotemporal scales, focusing on tissue-like devices. end review by proposing new scientific engineering approaches leveraging biointerfacing composites exploring applications for composites.

Language: Английский

Citations

57

Flexible, wearable biosensors for digital health DOI Creative Commons
Pancheng Zhu, Hanmin Peng, Alina Y. Rwei

et al.

Medicine in Novel Technology and Devices, Journal Year: 2022, Volume and Issue: 14, P. 100118 - 100118

Published: Feb. 11, 2022

Flexible and stretchable biosensors have the advantage of enhanced signal validity patient comfort during physiological sensing biomolecular analysis, crucial for disease diagnosis, treatment health management. Their lightness, softness excellent mechanical properties enable effective skin-device interface coupling skin safety profiles, realizing multi-functional, intelligent real-time sensing. In this review, basic principles biosensor systems their applications are discussed. Moreover, potential prospective progress these further prospected. Flexible, wearable to realize continuous long-term monitoring in clinical daily care.

Language: Английский

Citations

46

Biomimetic and Biologically Compliant Soft Architectures via 3D and 4D Assembly Methods: A Perspective DOI
Jay M. Taylor, Haiwen Luan, Jennifer A. Lewis

et al.

Advanced Materials, Journal Year: 2022, Volume and Issue: 34(16)

Published: March 1, 2022

Recent progress in soft material chemistry and enabling methods of 3D 4D fabrication-emerging programmable designs associated assembly for the construction complex functional structures-is highlighted. The underlying advances this science allow creation architectures with properties shapes that programmably vary time. ability to control composition from molecular macroscale is highlighted-most notably through examples focus on biomimetic biologically compliant materials. Such advances, when coupled program structure across multiple scales via microfabrication, printing, or other techniques, give rise responsive (4D) architectures. challenges prospects emerging field terms its capacities integrating chemistry, form, function are described context exemplary systems demonstrating important but heretofore difficult-to-realize behaviors.

Language: Английский

Citations

45

First Organoid Intelligence (OI) workshop to form an OI community DOI Creative Commons
Itzy E. Morales Pantoja, Lena Smirnova,

Alysson R. Muotri

et al.

Frontiers in Artificial Intelligence, Journal Year: 2023, Volume and Issue: 6

Published: Feb. 28, 2023

The brain is arguably the most powerful computation system known. It extremely efficient in processing large amounts of information and can discern signals from noise, adapt, filter faulty all while running on only 20 watts power. human brain's efficiency, progressive learning, plasticity are unmatched by any computer system. Recent advances stem cell technology have elevated field culture to higher levels complexity, such as development three-dimensional (3D) organoids that recapitulate functionality better than traditional monolayer systems. Organoid Intelligence (OI) aims harness innate biological capabilities for biocomputing synthetic intelligence interfacing them with technology. With latest strides technology, bioengineering, machine we explore ability compute, store given (input), execute a task (output), study how this affects structural functional connections themselves. Furthermore, understanding learning generates changes patterns connectivity shed light early stages cognition brain. Investigating these concepts an enormous, multidisciplinary endeavor necessitates engagement both scientific community public. Thus, Feb 22–24 2022, Johns Hopkins University held first Workshop form OI Community lay out groundwork establishment new discipline. potential revolutionize computing, neurological research, drug was discussed, along vision roadmap its over coming decade.

Language: Английский

Citations

34