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We are excited to announce PathChat - a vision-language AI assistant for #Pathology that can analyze histology images and answer diverse pathology-related queries. Co-led by our superstars Max Lu Bowen Chen @DFKW_MD Preprint: Demo below,

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Faisal Mahmood

6,986 subscribers

106,580 görüntüleme • 2 yıl önce •via X (Twitter)

EğitimSağlık & İyilikBilim & Teknoloji#Pathology
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Zhi Huang profil fotoğrafı
Zhi Huang2 yıl önce

@MYLu97 @chenbowen118 @DFKW_MD Fantastic work!🚀

Julien Calderaro profil fotoğrafı
Julien Calderaro2 yıl önce

@MYLu97 @chenbowen118 @DFKW_MD wow congrats! looks amazing will it be possible to try it online??

Abhinav Suri, MPH profil fotoğrafı
Abhinav Suri, MPH2 yıl önce

@MYLu97 @chenbowen118 @DFKW_MD great work! I was wondering whether you all had success evaluating LLaVA-Med using the delta weights on their github repo. It seems that the github audience hasn't been able to run their weights locally :/

Rahul G. Krishnan profil fotoğrafı
Rahul G. Krishnan2 yıl önce

@MYLu97 @chenbowen118 @DFKW_MD This is very cool!

Henk-Jan van Slooten profil fotoğrafı
Henk-Jan van Slooten2 yıl önce

@Aiims1742 @MYLu97 @chenbowen118 @DFKW_MD Really cool stuff! Things are moving fast with pathology and AI 🚀

Emre Kocakavuk, MD, PhD profil fotoğrafı
Emre Kocakavuk, MD, PhD2 yıl önce

@MYLu97 @chenbowen118 @DFKW_MD That is so cool!

Dr. Luca profil fotoğrafı
Dr. Luca2 yıl önce

@MYLu97 @chenbowen118 @DFKW_MD Very Interesting!!! Much Congrats!

Khalid خالد profil fotoğrafı
Khalid خالد2 yıl önce

@MYLu97 @chenbowen118 @DFKW_MD cool cool!

Fahreddin Palaz, MD profil fotoğrafı
Fahreddin Palaz, MD2 yıl önce

@MYLu97 @chenbowen118 @DFKW_MD Fantastic news! Congratulations!

Fred profil fotoğrafı
Fred2 yıl önce

@MYLu97 @chenbowen118 @DFKW_MD Awesome! 🤩

Benzer Videolar

⚡️🔬📣 Excited to share our new nature article building and evaluating PathChat, a multimodal generative AI copilot and chatbot for human pathology. Article: Open Access Link: We leverage our previous success in building foundation models for computational pathology such as UNI / CONCH and combine it with the advancements of large vision language models and generative AI to enable PathChat to answer diverse pathology-related queries. We assessed PathChat using both multiple choice diagnostic questions and open-ended questions. Congratulations to Max Lu Bowen Chen @DFKW_MD Richard J. Chen and everyone else who contributed to this work. Also see blog post from Max Lu about this work: , also teasing the development and preview of PathChat 2, a successor to PathChat 1 bringing new capabilities and substantially improved performance to the state-of-the-art.
1:30

⚡️🔬📣 Excited to share our new nature article building and evaluating PathChat, a multimodal generative AI copilot and chatbot for human pathology. Article: Open Access Link: We leverage our previous success in building foundation models for computational pathology such as UNI / CONCH and combine it with the advancements of large vision language models and generative AI to enable PathChat to answer diverse pathology-related queries. We assessed PathChat using both multiple choice diagnostic questions and open-ended questions. Congratulations to Max Lu Bowen Chen @DFKW_MD Richard J. Chen and everyone else who contributed to this work. Also see blog post from Max Lu about this work: , also teasing the development and preview of PathChat 2, a successor to PathChat 1 bringing new capabilities and substantially improved performance to the state-of-the-art.

Faisal Mahmood

291,475 görüntüleme • 2 yıl önce

⚡️📣Today we are tremendously excited to announce ModellaAI the first startup from Mahmood Lab, based on an array of foundation models and generative AI tools including our recent PathChat article in nature ( ModellaAI will actualize these exciting developments and put them in the hands of pathologists, clinicians, researchers, and trainees. See our announcement below and sign up for the PathChat 2 waitlist at Congratulations to the entire team and especially Richard J. Chen Jill Stefanelli Max Lu kuanchen Bowen Chen, Long Le, and everyone else, stay tuned for exciting additional announcements.
5:19

⚡️📣Today we are tremendously excited to announce ModellaAI the first startup from Mahmood Lab, based on an array of foundation models and generative AI tools including our recent PathChat article in nature ( ModellaAI will actualize these exciting developments and put them in the hands of pathologists, clinicians, researchers, and trainees. See our announcement below and sign up for the PathChat 2 waitlist at Congratulations to the entire team and especially Richard J. Chen Jill Stefanelli Max Lu kuanchen Bowen Chen, Long Le, and everyone else, stay tuned for exciting additional announcements.

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We are excited to announce the 1st version of our multimodal assistant, Yasa-1, a language assistant with visual and auditory sensors that can take actions via code execution 🪄. Yasa-1 can understand text, images, videos, sounds & more! 🚀 Check out more details below👇

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Medical school tales… How did your histology practical exams go? 😂😷 We would probably have more physicians interested in pathology if only they had better tutors in histology at the preclinicals #MedEd #Histology #Pathology 𝚄𝚐𝚋𝚎𝚍𝚎𝚘𝚓𝚘. Nigerian Doctor
1:45

Medical school tales… How did your histology practical exams go? 😂😷 We would probably have more physicians interested in pathology if only they had better tutors in histology at the preclinicals #MedEd #Histology #Pathology 𝚄𝚐𝚋𝚎𝚍𝚎𝚘𝚓𝚘. Nigerian Doctor

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⚡🎉 We are thrilled to introduce VORTEX, an AI-powered computational framework for predicting 3D Spatial Transcriptomics (ST) using 3D tissue images and minimal 2D ST! 🧬 By combining cutting-edge 3D non-destructive tissue imaging with AI, VORTEX imputes the 3D molecular landscape of large tissue samples in a cost-effective and scalable manner. 🧠💡Our approach: By pretraining on diverse 3D morphology–2D transcriptomic pairs from heterogeneous tissue samples, and then fine-tuning on minimal 2D ST data from a volume of interest, VORTEX leverages both generic tissue-specific and sample-specific morphomolecular correlates to predict 3D ST. Congratulations to our superstar co-leads Cristina Almagro Pérez and Andrew H. Song, this was an exciting collaboration with Jonathan Liu Sizun Jiang Ali Bashashati. Preprint: Demo: Read the excellent blog from our superstar grad student Cristina Almagro Pérez: Also see our previous work on 3D Computational Pathology from Andrew H. Song published in Cell last year: Stay tuned for more to come.

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