MedARC (@MedARC

MedARC

140 posts

MedARC

@MedARC_AI

Medical AI Research Center (MedARC) Unlocking new possibilities in medical AI research. Supported by @SophontAI Founded by @iScienceLuvr

Joined January 2023

Pinned
MedARC
@MedARC_AI
Jun 15
Today, we're excited to announce our first research competition! INTRODUCING NANOPATH: a framework and challenge to train the best pathology foundation model in just 1 hour! A quick thread on why we made this challenge and how to participate!
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MedARC
@MedARC_AI
Feb 9, 2023
Announcing the launch of the MedARC! MedARC is a novel, open, & collaborative approach to medical AI research. It was created to develop large-scale AI models for medicine & build interdisciplinary teams to address clinical needs. (1/10) medarc.ai/blog/announcem…
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MedARC
@MedARC_AI
Oct 10, 2023
Announcement!📢 We're excited to share that our first paper since our public launch, MindEye, has been accepted as a *spotlight* at #NeurIPS2023! The updated version of our paper with additional details/exps is now up: arxiv.org/abs/2305.18274… Website: medarc.ai/mindeye
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MedARC
@MedARC_AI
May 30, 2023
Announcing the first paper since our public launch! 🥳 🧠👁️ MindEye is our state-of-the-art fMRI-to-image approach that retrieves and reconstructs images from brain activity! Project page: medarc-ai.github.io/mindeye/ arXiv: arxiv.org/abs/2305.18274
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MedARC
@MedARC_AI
Mar 19, 2024
Announcing MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data! 🧠👁️ High-quality reconstructions of images from fMRI using 1 hour of training data vs. past work using 30-40 hrs/person! arXiv: arxiv.org/abs/2403.11207 project page: medarc.ai/mindeye2
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MedARC
@MedARC_AI
Jan 25, 2024
Sharing our first work from our LLM efforts! We've evaluated the medical knowledge of open LLMs (Mistral, Llama -2, etc.) & compared them to closed LLMs like GPT-4 which are SOTA. Open LLMs perform surprisingly well, read our blog post to learn more! ↓ medarc.ai/blog/medarc-ll…
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MedARC
@MedARC_AI
Feb 7, 2024
We're excited to share a recent paper by @StanfordAIMI that we had the opportunity to collaborate on: CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation Website: stanford-aimi.github.io/chexagent.html We present and release a 8B multimodal radiology foundation model!
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MedARC
@MedARC_AI
Apr 12, 2024
New @StabilityAI blog post on our MindEye2 work showing state-of-the-art reconstructions of perception from fMRI brain activity. Our approach shows how high-quality reconstructions can be obtained w/ just a fraction of training data for a new subject! stability.ai/news/mindeye2-…
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MedARC
@MedARC_AI
Mar 13, 2024
It's been one year since the formation of MedARC! We've worked on many interesting projects with our open & collaborative approach to medical AI research, from mind-reading to radiology AI. Learn about what we've been up to over this past year! Link ↓ bit.ly/48QOOMz
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MedARC
@MedARC_AI
Feb 9, 2023
Replying to @MedARC_AI
Additionally, we have a livestream on Feb 13th, 2pm EST! We'll talk about the vision for MedARC, the current projects, and how you can contribute! Discussion will be by @iScienceLuvr, @jeremyphoward, @EMostaque, @Dr_ASChaudhari, @humanscotti Link →youtube.com/watch?v=PK2Sl3…
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MedARC
@MedARC_AI
Jun 18, 2024
MindEye demonstrated incredible brain decoding performance w/ fMRI But an fMRI machine is huge! Can brain decoding be done with a more portable device? @humanscotti joined a team of researchers to explore if the more portable fNIRS tech can perform accurate brain decoding ↓
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MedARC
@MedARC_AI
Jul 9, 2024
Announcement! 📢 We're excited to share that MindEye2, our latest SOTA fMRI-to-image paper, was accepted to #ICML2024! We have uploaded the camera-ready version of the preprint on arXiv: arxiv.org/abs/2403.11207 Website: medarc.ai/mindeye2
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MedARC
@MedARC_AI
Aug 1, 2024
MedARC had a great time at ICML 2024! Thanks to everyone who stopped by our MindEye2 poster!
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MedARC
@MedARC_AI
Feb 9, 2023
Replying to @MedARC_AI
The progress of AI in other fields has had huge leaps enabled by the training & utilization of large-scale AI foundation models (ex: ChatGPT, @StableDiffusion). To enable advances in medical AI, we believe it's necessary to develop foundation models specific to medicine. (2/10)
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