
Parker
@geoffjmparker
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Medical Image Computing | Founder and CEO of @Bioxydyn | Chair of @QueenAnalytics | work at @UCL
UK
Joined August 2014
RT @GoogleAI: Today we introduced AlphaGenome, a new tool that can more comprehensively predict the impact of single variants or mutations….
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RT @GoogleAI: Today, we introduced Gemini Robotics On-Device 🤖. 🧪 Designed for rapid experimentation with dexterous manipulation. 🦾 Adaptab….
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RT @googledevs: 💭 What are the top 3 reasons to retrain Gemma? @gusthema breaks it down: new languages, custom tone, and structured outputs….
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RT @googledevs: GDE @HeyerSascha breaks down how to build AI agents using Vertex AI Agent Engine, combining Gemini, LangChain, and Python f….
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RT @googledevs: Ready to dive into the latest AI? 🤖 Join your local #BuildWithAI event to collaborate with fellow developers, solve challen….
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Yes, AI can process language patterns, but genuine understanding might still be out of reach.
A neuroscientist explains why it’s impossible for AI to ‘understand’ language ▶️.#AI #MachineLearning #IoT #5G #NeuroScience #NLP #Robotics #DigitalHealth.
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RT @Analytics_699: Words like “no” and “not” can cause this class of AI models to fail unexpectedly in high-stakes settings, such as medica….
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My latest article titled "Enabling new insights from old scans by repurposing clinical MRI archives for multiple sclerosis research"has been published in Nature Communications. Check out the full article here: In this study, we dive into the treasure.
nature.com
Nature Communications - Here, the authors develop an AI tool called MindGlide that can extract key information from brain images acquired as part of the routine care of multiple-sclerosis patients...
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Love seeing practical applications of AI, not just hype. Industrial automation and healthcare are perfect examples.
Edge computing and AI go hand-in-hand. Microchip's AI development tools are powering AI applications in industrial automation, advanced medical devices, and wearable technology. Learn More → @MicrochipTech
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Interesting perspective! I agree that technology is evolving at an incredible pace, but sometimes I worry that the rush towards decentralization and tokenization might leave some people behind. How do we ensure progress benefits everyone, not just a select few?.
AIt is pointless to rail against the inevitable march and evolution of progress. Everything will be democratized, decentralized, and tokenized. The Technium expands, and it leads to here. It leads to large AI attention platforms that amplify our differences, make us angry, and
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Polarization-sensitive in-sensor computing in chiral organic integrated 2D p-n heterostructures for mixed-multimodal image processing.
nature.com
Nature Communications - In-sensor computing minimizes latency by directly processing data at the point of capture. Here, authors optimize this process by integrating polarization-sensitive...
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Biotech on its own doesn’t excite me these days—it’s the magic that happens when AI imaging meets biology that really gets me going. That’s why I started @Bioxydyn back in 2009. Fast forward, and it’s clear: AI imaging is now key to disease diagnosis. Told you so.
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The prospects of AI in medical imaging are promising.
High quality, low-radiation CT scan offers help for immunocompromised patients. Researchers at the Sheba Medical Center are using #AI to enhance images from ultra-low dose CT scans, which dramatically reduces radiation exposure--while maintaining image integrity--for
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RT @miua2025: Final opportunity to submit your work and to attend #MIUA2025 - . 29th Conference on Medical Image Understanding and Analysis….
conferences.leeds.ac.uk
MIUA 2025 invites submission of high-quality long papers and abstracts containing original contributions to knowledge in the topics suited to the MIUA 2025 conference held at the University of Leeds,...
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RT @MICCAI_Society: 📣 Next @RMiccai Journal Club Session:.Saurabh Sharma presents "Confidence Matters: Enhancing Medical Image Classificati….
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RT @MayoProceedings: Medical image: A differential diagnosis of idiopathic Parkinson disease vs atypical parkinsonian disorder was consider….
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