Tiago Costa

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Tiago Costa

Tiago Costa

@CostaT_Lab

Associate Professor and Group Leader @imperialcollege. We study the architecture and function of molecular machines that drive AMR dissemination and virulence.

London, England Katılım Kasım 2017
240 Takip Edilen708 Takipçiler
Tiago Costa retweetledi
Vivek Natarajan
Vivek Natarajan@vivnat·
Great to see this feature in Nature Medicine! When our team at @GoogleDeepMind @GoogleResearch introduced the AI Co-Scientist in our February 2025 preprint, we knew we were on the cusp of a fundamental shift in how research is done. To see the work inspire the community and catalyze a global movement to accelerate scientific discovery in such a short time is incredibly thrilling. Huge shoutout to our amazing collaborators Prof @jrpenades @CostaT_Lab of @ImperialCollege and Prof Gary Peltz at @StanfordMed Medicine who took the leap with us and pushed the boundaries to validate this new paradigm of human-AI collaboration in science. So much momentum and so much more to come, rather soon 😊 Link: rdcu.be/e8xmk With @Mysiak @alan_karthi and so many incredible Google teammates behind AI Co-Scientist.
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Tiago Costa
Tiago Costa@CostaT_Lab·
Please RT:📢We are hiring a Post-Doc in Structural Biology to join our multidisciplinary team. Project: study molecular mechanisms of horizontal gene transfer using cryo-EM and integrative structural biology. Apply: shorturl.at/ecrVL #StructuralBiology #CryoEM #Postdoc
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Tiago Costa
Tiago Costa@CostaT_Lab·
🚨 PhD Opportunity in my lab🚨 Harnessing Phage Satellites for Next-Generation Biological Crop Protection 🗓 Deadline: 12 Jan 🔗 Apply: tinyurl.com/425x8ahj 🔗 Project : tinyurl.com/22uanm86 Interested in Structural Microbiology, Phage Biology & SynBio - Apply Now!
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Yossi Matias
Yossi Matias@ymatias·
The multi-agent AI co-scientist system (employing Generation, Reflection, Ranking and Evolution agents) has three key attributes: simulation of scientific debate between pairwise combinations of generated hypotheses, test-time compute scaling to improve outputs, and an internal auto-evaluation metric. Research collaboration with academic partners confirms its potential for drug repurposing for Acute Myeloid Leukemia, and for insights related to Liver Fibrosis.
Google Research@GoogleResearch

As 2025 wraps up, we're sharing some highlights✨ Last month we unveiled generative UI, a capability allowing AI models to create immersive, interactive experiences for any prompt (trip planning, redecorating, etc) — available in the Gemini app via an experiment called dynamic view & in AI Mode in Google Search. For example, check out this Little Chemists Lab experience: generativeui.github.io/static/demos/f…

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Yossi Matias
Yossi Matias@ymatias·
In a panel with @CostaT_Lab, our partner from Imperial College London, and with @vivnat we’ve discussed how Google’s co-scientist demonstrated AI’s core reasoning capability by performing novel reasoning on lab’s unpublished on a complex antimicrobial resistance mechanism, Picture from the panel
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Harry Low’s Lab
Harry Low’s Lab@thelowlab·
Please RT. Post-doc opportunity alert! 💥 closing 10th December.. Come join our team (thelowlab.org) at Imperial, London, working on the structure and mechanism of bacterial secretion systems. For more details and to apply please see imperial.ac.uk/jobs/search-jo…
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Cell
Cell@CellCellPress·
Now online! Chimeric infective particles expand species boundaries in phage-inducible chromosomal island mobilization dlvr.it/TN0X9B
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Alan Karthikesalingam
Alan Karthikesalingam@alan_karthi·
@jrpenades @CostaT_Lab had a paper in peer review marking a pivotal milestone from years of work, describing a novel mechanism for gene transfer through 'microbial piracy'. Their work revealed how mobile genetic elements "cf-PICIs" hijack the tails from viruses to create hybrid particles, allowing them to inject DNA -which can carry genes for antibiotic resistance - into a wide range of bacteria, explaining how these dangerous traits spread so efficiently. This was the result of years of meticulous experimental work but the breakthrough insight had never been made public.
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Alan Karthikesalingam
Alan Karthikesalingam@alan_karthi·
It's an extraordinary privilege to work on AI systems with such a profound potential to super-charge science, not by replacing human insight, but by accelerating it. The true impact comes from collaborating with experts like @jrpenades @CostaT_Lab to tackle biomedicine's great challenges. We're delighted to share authorship on this paper in Cell and excited for many more upcoming discoveries from the improving AI coscientist system. Watch this space!
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Cell
Cell@CellCellPress·
Now online! AI mirrors experimental science to uncover a mechanism of gene transfer crucial to bacterial evolution dlvr.it/TN0F0H
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Pushmeet Kohli
Pushmeet Kohli@pushmeet·
Our partners at @Imperial College London used @GoogleDeepMind's AI co-scientist to focus on the most promising directions to investigate antibiotic resistance; performing years of work in days. This is great example on how AI will super-charge Science for the benefit of humanity.
Imperial College London@imperialcollege

Imperial scientists found how ‘pirate phages’ hijack viruses to spread traits like antibiotic resistance 🏴‍☠️ Tested using @GoogleDeepMind’s AI ‘co-scientist’ in a project coordinated by the @FlemingCentre, the work could help in the fight against AMR 👇 imperial.ac.uk/news/268213/mi…

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Vivek Natarajan
Vivek Natarajan@vivnat·
During Thanksgiving break last year, our AI co-scientist team @GoogleDeepMind @GoogleResearch - @Mysiak @alan_karthi met Prof @jrpenades @CostaT_Lab of @ImperialCollege. They were nearing a breakthrough on how bacteria share resistance genes and proposed a test for our AI co-scientist: pose their exact research question to the system and see what it found. Today in @CellCellPress, we share the results. Paper link - cell.com/cell/fulltext/…
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José R Penadés
José R Penadés@jrpenades·
Our second paper with @CostaT_Lab and @GoogleDeepMind reports our experience with Google’s co-scientist: remarkably, the AI independently recapitulated our experimental discovery on cf-PICIs, showcasing AI’s potential to accelerate biology.  cell.com/cell/fulltext/…
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