
Ira Ktena
@s0f1ra
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Staff Research Scientist @GoogleDeepMind. Formerly: PhD in Brain Graph Analysis & ML @BioMedIAICL. @EMBO Fellow @ https://t.co/bkMculxBdP. @ecentua alumnus.
London, England
Joined February 2016
RT @EricTopol: Radiologist-#AI teamwork demonstrated for report generation via a vision-language foundation model for chest X-rays. https://….
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RT @enzoferrante: Are you working on fairness of AI in medical imaging? . We just extended the deadline for the FAIMI workshop @MICCAI_Soci….
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RT @AdamMGrant: Most leaders value loyalty. Great leaders put a higher premium on integrity. Loyalty is allegiance to power. You're expect….
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RT @_cagarwal: Not the new "O" model, but excited to share our recent work on understanding the Safety implications of LLMs for healthcare….
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RT @marinkazitnik: Empowering Biomedical Discovery with AI Agents 🤖. Long-standing ambition for biomedical AI is t….
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RT @JeffDean: This new paper on ✨Med-Gemini✨ research from @GoogleResearch and @GoogleDeepMind shows how the multimodal and long context c….
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RT @EricTopol: These Twin Gemini multimodal #AI model reports take the state-of-the-art of medical AI to a new level with diverse task capa….
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RT @AziziShekoofeh: Excited to share latest ✨Med-Gemini✨ additions - our new research unlocks possibilities in medical data analysis with….
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RT @2plus2make5: .@rajivmovva, @PangWeiKoh, and I write for @NatureMedicine on using unlabeled data to improve generalization + fairness of….
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RT @IasonGabriel: 1. What are the ethical and societal implications of advanced AI assistants? What might change in a world with more agent….
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This work was carried out in collaboration with an amazing team @OliviaW47557022 @isabela_alb @sgowal @TaylanCemgilML @AziziShekoofeh @RyutaroTanno @alan_karthi @pushmeet and others @GoogleDeepMind @GoogleResearch.
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Excited to demonstrate in our work published today at @NatureMedicine that we can leverage powerful diffusion models to “augment” our medical imaging datasets in a steerable fashion to oversample underrepresented conditions and attributes. @GoogleDeepMind @GoogleResearch.
By generating synthetic image samples specific to underrepresented groups, diffusion models help medical image classifiers to achieve greater #fairness metrics across a variety of medical disciplines and demographic attributes. @OliviaW47557022, @s0f1ra
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RT @AdamMGrant: It's time to stop dumping thankless tasks on women. Women get more asks than men to serve on committees, plan events, and….
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RT @enzoferrante: New paper just published in Nature Machine Intelligence @NatMachIntell!. We propose a framework to discover genotype-phen….
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RT @enzoferrante: A letter signed by **68 Nobel Prize winners** from all over the world, asks the government to stop devaluating and cancel….
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