A Simple #Farming #Trick That Could Remove #CO2 from the #Atmosphere : Medium

#AlphaFold hits ‘next level’: the #AI #Database now includes #ProteinPairing : Nature

AI might be the next stage of our #Natural #Evolution: A #Cancer #Neuroscience #Perspective : Science

Latest #KnowledgeLinks

https://knowledgezone.co.in/resources/bookmarks

Kevin Weil (@kevinweil)

ChatGPT와 AlphaFold를 활용해 반려견 암에 맞춘 개인화 mRNA 백신 프로토콜을 만들었다는 사례로, AI가 맞춤형 정밀의료를 가속하는 미래를 보여준다. 인간 대상 치료에도 이런 접근을 더 쉽게 만들 필요가 있다는 메시지가 담겼다.

https://x.com/kevinweil/status/2037420429430919674

#chatgpt #alphafold #mrna #personalizedmedicine #aipublichealth

Kevin Weil 🇺🇸 (@kevinweil) on X

Paul used ChatGPT + AlphaFold to create a personalized mRNA vaccine protocol for his dog's cancer. This is a glimpse of the future, with AI accelerating personalized medicine. We have to make it easier for people to do this for people, not just dogs!

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e548 — The Uncomfortable Valley

e548 with Michael and Michael - Stories and discussion on #UncomfortableValley & #UncannyValley, Nintendo’s #TalkingFlower, #8bit #PixelAgents for #AIorchestration and a whole lot more.

https://gamesatwork.biz/2026/03/23/e548-the-uncomfortable-valley/

17-Mar-2026
Millions of #protein complexes added to #AlphaFold Database shed light on how proteins interact

https://www.eurekalert.org/news-releases/1119736

#science #structuralBiology

Millions of protein complexes added to AlphaFold Database shed light on how proteins interact

Four-way collaboration brings together world-leading AI and biological expertise to make AI-predicted protein complex structures openly available to the global scientific community

EurekAlert!

Pushmeet Kohli (@pushmeet)

Google DeepMind는 AI를 과학의 궁극적 촉매라고 소개하며, 대표 사례로 단백질 구조 예측 데이터베이스인 AlphaFold Database(AFDB)를 제시했습니다. AFDB는 전 세계에서 무료로 제공되며 330만 명이 넘는 연구자들이 활용해 왔다고 언급되어, AI 기반 생명과학 도구의 광범위한 실사용과 영향력을 강조하고 있습니다.

https://x.com/pushmeet/status/2033856861120745486

#alphafold #deepmind #proteinfolding #ai

Pushmeet Kohli (@pushmeet) on X

At @GoogleDeepMind, we believe AI is the ultimate catalyst for science. 🧬 The best example of this has been the AlphaFold database (AFDB) of protein structure predictions which has been used free of cost by more than 3.3 millions researchers across the world! Today, in

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Millions of protein complexes added to AlphaFold Database shed light on how proteins interact

Four-way collaboration brings together world-leading AI and biological expertise to make AI-predicted protein complex structures openly available to the global scientific community.

EMBL-EBI News

dominik kundel (@dkundel)

ChatGPT와 AlphaFold를 활용해 과학자들과 협력해 반려견 암을 대상으로 한 맞춤형 mRNA 백신 개발 사례를 공유한 트윗입니다. 일반인(시민과학자)이 컴퓨터 과학 지식을 바탕으로 ChatGPT와 AlphaFold 같은 도구로 실제 바이오 연구에 기여한 점을 강조합니다. 안전성과 규제·윤리 논의 가능성도 시사되는 내용입니다.

https://x.com/dkundel/status/2032897844932481378

#chatgpt #alphafold #mrna #biotech #citizenscience

dominik kundel (@dkundel) on X

Wow someone used ChatGPT and AlphaFold to work with scientists on creating a custom mRNA vaccine for his dog's cancer 😍 “The striking thing about this is the idea of citizen science, where a punter in the street, with a computer science background, can use their skills in the

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Demis Hassabis (@demishassabis)

AlphaFold의 흥미로운 활용 사례를 언급하며, 이를 디지털 생물학의 시작으로 평가하는 트윗. 단일 문장으로 AlphaFold 기반 응용의 가능성을 환영하고 향후 디지털 생물학 발전에 대한 기대를 표명함.

https://x.com/demishassabis/status/2033010713413754987

#alphafold #proteinfolding #bioinformatics #digitalbiology

Demis Hassabis (@demishassabis) on X

Cool use case of AlphaFold, this is just the beginning of digital biology!

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cedric (@cedric_chee)

호주 한 창업자가 ChatGPT, AlphaFold, 종양 시퀀싱, 맞춤형 mRNA 백신을 결합해 반려견의 암을 치료하는 시도를 했고 UNSW 연구진이 도움을 준 사례입니다. AI 기반 단백질 예측과 유전체 데이터, mRNA 백신 설계의 통합 적용으로 생물학의 '프로그래밍' 가능성을 보여주지만, 임상적 안전성·윤리 문제는 여전히 중요합니다.

https://x.com/cedric_chee/status/2032963600592298055

#ai #bioinformatics #alphafold #mrna #chatgpt

cedric (@cedric_chee) on X

A founder in Australia used ChatGPT, AlphaFold, tumor sequencing, and a custom mRNA vaccine to treat his dog's cancer with help from UNSW researchers. AI is turning biology into something far more programmable. That does not mean cancer is solved. But it's starting to make

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