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We have developed DELIVR, a user-friendly deep-learning pipeline for automatically detecting and analyzing cells from whole-brain images to map neuronal activity via cFOS. DELIVR uses virtual reality to substantially accelerate the generation of training data and is accessible to biologists without advanced coding skills through a simple Fiji plugin....

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Ali Max Erturk

90,835 subscribers

15,748 görüntüleme • 11 ay önce •via X (Twitter)

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Very excited to share that our DELiVR method is now open access published @NatureMethods. We created a simple, brain-wide cell analysis deep learning tool, no coding needed! Fiji Plugin makes it accessible to all. by Doris Kaltenecker Rami @moritz_negwer
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Very excited to share that our DELiVR method is now open access published @NatureMethods. We created a simple, brain-wide cell analysis deep learning tool, no coding needed! Fiji Plugin makes it accessible to all. by Doris Kaltenecker Rami @moritz_negwer

Ali Max Erturk

56,843 görüntüleme • 2 yıl önce

Want to use deep learning for image analysis but lack the coding skills? We introduce DELiVR, a game-changer in brain-wide cell analysis. No coding required, our Fiji Plug-in does the magic. Hats off to Doris Kaltenecker, Rami, @moritz_negwer! 🧵👇🏼 1/n
2:06

Want to use deep learning for image analysis but lack the coding skills? We introduce DELiVR, a game-changer in brain-wide cell analysis. No coding required, our Fiji Plug-in does the magic. Hats off to Doris Kaltenecker, Rami, @moritz_negwer! 🧵👇🏼 1/n

Ali Max Erturk

244,423 görüntüleme • 3 yıl önce

🧵Deep learning simulation of brain activity
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🧵Deep learning simulation of brain activity

Neuralink

467,579 görüntüleme • 1 yıl önce

A detailed map of mouse brain cell structure and connections, offering insights into how they relate to activity in the mouse brain, is revealed in a package of papers from MICrONS consortium in nature & Nature Methods: Allen Institute naturePortfolio
1:09

A detailed map of mouse brain cell structure and connections, offering insights into how they relate to activity in the mouse brain, is revealed in a package of papers from MICrONS consortium in nature & Nature Methods: Allen Institute naturePortfolio

Springer Nature

16,923 görüntüleme • 1 yıl önce

Congrats to Aoibheann Daly, 4th year, on winning the 2026 @stripeyste Young Scientist of the Year! Her project, GlioScope, uses AI deep learning to predict genetic mutations in brain tumours from MRI scans reducing the need for invasive biopsies and revolutionising brain cancer.
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Congrats to Aoibheann Daly, 4th year, on winning the 2026 @stripeyste Young Scientist of the Year! Her project, GlioScope, uses AI deep learning to predict genetic mutations in brain tumours from MRI scans reducing the need for invasive biopsies and revolutionising brain cancer.

Mercy Mounthawk

219,870 görüntüleme • 5 ay önce

Neuroscience experts at FinalSpark developed a 3D simulation of a butterfly, controlled by human brain cells cultured in a lab. 👇Code related to FinalSpak's NeuroPlatform.
0:59

Neuroscience experts at FinalSpark developed a 3D simulation of a butterfly, controlled by human brain cells cultured in a lab. 👇Code related to FinalSpak's NeuroPlatform.

tetsuo

169,459 görüntüleme • 11 ay önce

Our 3D Brain Atlas is not only a valuable tool for neuroscientists and clinicians but also for educators, students and others interested in learning more about the brain. 🧠 Try it out for yourself! #neuroscience #3dbrain #brainatlas #braintool #brainmapping
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Our 3D Brain Atlas is not only a valuable tool for neuroscientists and clinicians but also for educators, students and others interested in learning more about the brain. 🧠 Try it out for yourself! #neuroscience #3dbrain #brainatlas #braintool #brainmapping

Neurotorium

25,136 görüntüleme • 3 yıl önce

2. AI Antibiotic Scientists published a paper using AI to discover a new antibiotic. It came out last week in the prestigious Nature Chemical Biology. They used deep learning AI methods to prune through many options and find an ideal candidate. Source: nature
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2. AI Antibiotic Scientists published a paper using AI to discover a new antibiotic. It came out last week in the prestigious Nature Chemical Biology. They used deep learning AI methods to prune through many options and find an ideal candidate. Source: nature

Aakash Gupta

113,749 görüntüleme • 3 yıl önce

With Harvard University, we built a ‘virtual rodent’ powered by AI to help us better understand how the brain controls movement. 🧠 With deep RL, it learned to operate a biomechanically accurate rat model - allowing us to compare real & virtual neural activity. →
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With Harvard University, we built a ‘virtual rodent’ powered by AI to help us better understand how the brain controls movement. 🧠 With deep RL, it learned to operate a biomechanically accurate rat model - allowing us to compare real & virtual neural activity. →

Google DeepMind

228,984 görüntüleme • 2 yıl önce

Building AI agents without technical skills is now a reality. Marc Revert, founder of Orga AI, shares how agentic AI is accessible to everyone. Move from chatbots to AI that autonomously executes actions. Automate workflows, manage calendars, and accelerate research. Redefine how you work.
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Building AI agents without technical skills is now a reality. Marc Revert, founder of Orga AI, shares how agentic AI is accessible to everyone. Move from chatbots to AI that autonomously executes actions. Automate workflows, manage calendars, and accelerate research. Redefine how you work.

AWS Startups

59,523,338 görüntüleme • 2 ay önce

Using monkey brain data to operate robotic arms! 🙉 Project Jenkins explores brain-computer interfaces by decoding neural activity into robotic movement and generating synthetic brain data from motion patterns. Using neural recordings from a macaque monkey named Jenkins, researchers developed models to decode brain signals into robotic arm movements and encode movement data into simulated neural activity. The project utilizes robotic arms and an interactive web console for real-time brain data generation from joystick inputs. The research paves the way for adaptive brain-computer interfaces by modeling brain activity more flexibly. Congrats to authors Dima Yanovsky, and Andrii Zahorodnii! 🦾
0:26

Using monkey brain data to operate robotic arms! 🙉 Project Jenkins explores brain-computer interfaces by decoding neural activity into robotic movement and generating synthetic brain data from motion patterns. Using neural recordings from a macaque monkey named Jenkins, researchers developed models to decode brain signals into robotic arm movements and encode movement data into simulated neural activity. The project utilizes robotic arms and an interactive web console for real-time brain data generation from joystick inputs. The research paves the way for adaptive brain-computer interfaces by modeling brain activity more flexibly. Congrats to authors Dima Yanovsky, and Andrii Zahorodnii! 🦾

Lukas Ziegler

21,504 görüntüleme • 1 yıl önce

How does an embryo reliably "compute" its form - "cell by cell" - using only local interactions and mechanics, yet produce a precise global body plan? I’m excited to share our Nature Methods paper "MultiCell: geometric learning in multicellular development", presenting #AIxBiology research led by Haiqian Yang and the result of a great collaboration with Ming Guo, George Roy, Tomer Stern, Anh Nguyen and Dapeng Bi. A long-standing challenge in developmental biology is to predict how thousands of cells collectively self-organize as tissues fold, divide, and rearrange. In MultiCell, we represent a developing embryo as a dual graph that unifies two complementary views of tissue mechanics with single-cell resolution: cells as moving points (granular) and cells as a connected foam (junction network). This lets the model learn dynamics from both geometry and cell–cell connectivity. On whole-embryo 4D light-sheet movies of Drosophila gastrulation (~5,000 cells), our model predicts key cell behaviors and the timing of events, including junction loss, rearrangements, and divisions with high accuracy, at single-cell resolution. Beyond prediction, the same representation supports robust time alignment across embryos and offers interpretable activation maps that highlight the morphogenetic "drivers" of development. The broader goal is a foundation for cell-by-cell forecasting in more complex tissues, and eventually for detecting subtle dynamical signatures of disease. Kudos to the team for this inspiring collaboration with brilliant researchers to push the boundary of AI for biology! Citation: Yang, H., Roy, G., Nguyen, A.Q., Buehler, M.J., et al. MultiCell: geometric learning in multicellular development. Nature Methods (2025), DOI: 10.1038/s41592-025-02983-x Code/data links are in the manuscript.
0:46

How does an embryo reliably "compute" its form - "cell by cell" - using only local interactions and mechanics, yet produce a precise global body plan? I’m excited to share our Nature Methods paper "MultiCell: geometric learning in multicellular development", presenting #AIxBiology research led by Haiqian Yang and the result of a great collaboration with Ming Guo, George Roy, Tomer Stern, Anh Nguyen and Dapeng Bi. A long-standing challenge in developmental biology is to predict how thousands of cells collectively self-organize as tissues fold, divide, and rearrange. In MultiCell, we represent a developing embryo as a dual graph that unifies two complementary views of tissue mechanics with single-cell resolution: cells as moving points (granular) and cells as a connected foam (junction network). This lets the model learn dynamics from both geometry and cell–cell connectivity. On whole-embryo 4D light-sheet movies of Drosophila gastrulation (~5,000 cells), our model predicts key cell behaviors and the timing of events, including junction loss, rearrangements, and divisions with high accuracy, at single-cell resolution. Beyond prediction, the same representation supports robust time alignment across embryos and offers interpretable activation maps that highlight the morphogenetic "drivers" of development. The broader goal is a foundation for cell-by-cell forecasting in more complex tissues, and eventually for detecting subtle dynamical signatures of disease. Kudos to the team for this inspiring collaboration with brilliant researchers to push the boundary of AI for biology! Citation: Yang, H., Roy, G., Nguyen, A.Q., Buehler, M.J., et al. MultiCell: geometric learning in multicellular development. Nature Methods (2025), DOI: 10.1038/s41592-025-02983-x Code/data links are in the manuscript.

Markus J. Buehler

387,652 görüntüleme • 5 ay önce

[1/16] The real world is large, and we want our AI models to operate on the scale of reality. Over the past two years, my colleagues and I have developed fVDB, a deep learning framework for large-scale, high performance spatial intelligence. We finally announced this work at SIGGRAPH and have released the framework in early access. Here’s a small tour of what fVDB is, and what we’ve used it to do.
3:19

[1/16] The real world is large, and we want our AI models to operate on the scale of reality. Over the past two years, my colleagues and I have developed fVDB, a deep learning framework for large-scale, high performance spatial intelligence. We finally announced this work at SIGGRAPH and have released the framework in early access. Here’s a small tour of what fVDB is, and what we’ve used it to do.

Francis Williams

33,794 görüntüleme • 1 yıl önce

Φ-SO : Physical Symbolic Optimization - Learning Physics from Data 🧠 The Physical Symbolic Optimization package uses deep reinforcement learning to discover physical laws from data. Here is Φ-SO discovering the analytical expression of a damped harmonic oscillator.
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Φ-SO : Physical Symbolic Optimization - Learning Physics from Data 🧠 The Physical Symbolic Optimization package uses deep reinforcement learning to discover physical laws from data. Here is Φ-SO discovering the analytical expression of a damped harmonic oscillator.

Jousef Murad

433,091 görüntüleme • 2 yıl önce

Training just got a tech upgrade! The U.S. Navy is using augmented and virtual reality to teach submariners essential skills with engaging simulations, saving time and money while leveling up the future of training!
2:03

Training just got a tech upgrade! The U.S. Navy is using augmented and virtual reality to teach submariners essential skills with engaging simulations, saving time and money while leveling up the future of training!

Department of War 🇺🇸

39,145 görüntüleme • 1 yıl önce

How do the neurons in our brain connect to underlie thought? New free AI-powered software from @columbia and @ohiostate can map these links automatically, rapidly and accurately to help shed light on how the brain works. #neuroscience
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How do the neurons in our brain connect to underlie thought? New free AI-powered software from @columbia and @ohiostate can map these links automatically, rapidly and accurately to help shed light on how the brain works. #neuroscience

Columbia University's Zuckerman Institute

13,472 görüntüleme • 7 ay önce

How brain cells communicate: #neuroscience
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How brain cells communicate: #neuroscience

Slava Bobrov

127,354 görüntüleme • 1 yıl önce

Cancer is a shape shifting disease. We have figured a way to outsmart it through the power of IL-15 and natural killer cells. By 2026 we will grow trillions of natural killer cells from healthy donors and generate the 'world bank of natural killer cells' which can be administered to any patient without donor matching. That is how natural killer cells work. Special Report Bret Baier
4:46

Cancer is a shape shifting disease. We have figured a way to outsmart it through the power of IL-15 and natural killer cells. By 2026 we will grow trillions of natural killer cells from healthy donors and generate the 'world bank of natural killer cells' which can be administered to any patient without donor matching. That is how natural killer cells work. Special Report Bret Baier

Dr. Pat Soon-Shiong

348,788 görüntüleme • 3 ay önce

From 3D imaging to therapy Using our DISCO tissue clearing and whole organ 3D imaging platform, we revealed skull to meninges microchannels connecting calvarial bone marrow with the brain borders in mice (Cai...Ertürk, Nature Neuroscience,2018, We then extended this biology to humans, discovering distinct skull bone marrow programs and structural skull meninges connections in health and neurological disease (Kolabas...Ertürk, Cell, 2023). Now, a new study reports a first therapeutic application of this route: intracalvariosseous (calvarial) injection of drug loaded albumin nanoparticles to “hijack” calvarial immune cells, which then migrate via skull meninges microchannels to CNS lesions, bypassing the blood brain barrier and improving outcomes in stroke models, with encouraging clinical feasibility data (Gao et al., Cell, 2026) We are proud that DISCO enabled biology that is now turning into concrete therapeutic strategies for devastating neurological diseases. More to come. #DISCO #TissueClearing #Neuroimmunology #Stroke #Nanomedicine #DrugDelivery #BBB #CNS Refs (for linking in comments): Cai et al. Nat Neuroscience, Kolabas et al. Cell 2023, the video from Gao et al. Cell 2026 (online Jan 16, 2026).
0:29

From 3D imaging to therapy Using our DISCO tissue clearing and whole organ 3D imaging platform, we revealed skull to meninges microchannels connecting calvarial bone marrow with the brain borders in mice (Cai...Ertürk, Nature Neuroscience,2018, We then extended this biology to humans, discovering distinct skull bone marrow programs and structural skull meninges connections in health and neurological disease (Kolabas...Ertürk, Cell, 2023). Now, a new study reports a first therapeutic application of this route: intracalvariosseous (calvarial) injection of drug loaded albumin nanoparticles to “hijack” calvarial immune cells, which then migrate via skull meninges microchannels to CNS lesions, bypassing the blood brain barrier and improving outcomes in stroke models, with encouraging clinical feasibility data (Gao et al., Cell, 2026) We are proud that DISCO enabled biology that is now turning into concrete therapeutic strategies for devastating neurological diseases. More to come. #DISCO #TissueClearing #Neuroimmunology #Stroke #Nanomedicine #DrugDelivery #BBB #CNS Refs (for linking in comments): Cai et al. Nat Neuroscience, Kolabas et al. Cell 2023, the video from Gao et al. Cell 2026 (online Jan 16, 2026).

Ali Max Erturk

15,808 görüntüleme • 4 ay önce

How does RTX neural rendering bring virtual worlds to life? Watch Bryan Catanzaro, VP of Applied Deep Learning Research, explain how it works and the new levels of realism it brings to graphics and physical AI.
1:31

How does RTX neural rendering bring virtual worlds to life? Watch Bryan Catanzaro, VP of Applied Deep Learning Research, explain how it works and the new levels of realism it brings to graphics and physical AI.

NVIDIAGameDev

29,922 görüntüleme • 4 ay önce