DNAstack’s Post

Today, we’re taking an important step to accelerate the impact of AI in genomics and health research. We’ve partnered with Vector Institute, a global leader in AI, to leverage their expertise as we bring new AI experiences to the market. The collaboration will fuse together the latest techniques in AI/ML with our platform for standards-compliant and privacy-preserving federated insights, to deliver a new way of making discoveries across sensitive datasets that is faster and safer than ever before. We are grateful to Vector and our many partners who share in this vision. 🧠 - Vector Institute (https://lnkd.in/gQfFJZt8) 🧬 - Omics AI, DNAstack's software platform (https://omics.ai) 📰 - Announcement (https://lnkd.in/gHbKjv2x) #ai #openscience #thefutureisfederated #genomics #precisionhealth

At Rotger Research Foundation, we're pioneering an exciting journey into the realms of artificial intelligence with our ambitious AI Genome Project. This initiative marks a significant leap forward in our commitment to advancing scientific research and harnessing the power of AI. Our journey began with the meticulous assembly of a state-of-the-art supercomputer, a cornerstone for our project. We've built a machine that's not only powerful but also tailor-made for the complex tasks ahead. This powerhouse is the bedrock upon which our innovative AI models are built and trained. Using TensorFlow, an open-source platform known for its flexibility and comprehensive tools, our team has been training our AI to perform intricate analyses. The AI Genome Project aims to unlock groundbreaking insights in genomic science, potentially revolutionizing how we understand and interact with biological data. The process is as challenging as it is thrilling. Our AI, equipped with cutting-edge algorithms, is learning to sift through vast amounts of genomic data, identifying patterns that escape the human eye. This could lead to advancements in personalized medicine, among other fields, by providing more precise genetic understandings tailored to individual health needs. We're excited about the future and invite you to join us on this remarkable adventure. Stay tuned for updates as we push the boundaries of science and technology, creating tools today that will lead to the solutions of tomorrow. #AI #Genomics #Innovation #ScienceResearch #RotgerResearchFoundation #RRF #LehighValley https://lnkd.in/e4pSiY5x

Attending Festival of Genomics & Biodata? Visit booth #141 and tell us about your #HPC, #AI and #data challenges or get your personalised caricature! See you there tomorrow!

The convergence of AI and genetic engineering is creating unprecedented opportunities for scientific breakthroughs. In a new series "Under-the-Radar AI 👾 AI/ML Papers" - we connect dots between AI/ML papers that pass unnoticed; today we investigate how AI is reshaping the landscape of genetic engineering at an astounding pace. To do this, we propose the use of recent technologies: Google DeepMind "AlphaFold3" together with the papers "AI Scientist" and "Automated Design of Agentic Systems". (posted in comments) ⬇️ This is the dancing betwen the lines of science, technology and magic. In this series we investigate how this trio of tools combine to accelerate #GeneticEngineering processes. Learn how these #AI tools could work together to autonomously optimize protein structures (e.g., DNA, precision medication), experiments, and enhance goal-oriented research in ways never before possible. Possibly yielding better results. This is the cutting-edge. 💡 Turn on CC's

As a pharmaceutical industry researcher, I agree with Dr. Sergei Yakneen's approach to the issues and his way of thinking. Data science, AI, computer modeling/simulation, and robotics/lab automation will significantly change the drug discovery process over the next five years.

Our CTO Sergei Yakneen shares his vision on the potential for AI to improve our understanding of disease biology and scale rational drug design at Isomorphic Labs in the latest episode of AI Game Changers with EPFL AI Center:

Very proud of this paper "Counterfactual Explanation of AI Models Using an Adaptive Genetic Algorithm With Embedded Feature Weights" in the interesting field of Explainable AI, published in IEEE Access and accepted from first round revision.

🌟 Unlocking the Secrets of Non-Coding DNA with AI 🌟 In our pursuit of understanding and harnessing the power of DNA, we are delving into the mysteries of non-coding DNA—often referred to as the "dark matter" of the genome. These segments of DNA, once thought to be insignificant, hold keys to our health and longevity. Through advanced AI, we are exploring these uncharted territories to uncover insights that could revolutionize our approach to long-standing health challenges. We are thrilled to present an introduction by the visionary thinker, the great Albert Einstein, who guides us through the importance of AI in decoding these genetic mysteries. This initiative isn't just about scientific discovery; it's about choosing AI to forge a path of love, empathy, and solutions for enduring health problems. By integrating AI with our research, we aim to not only decode complex genetic data but also offer tangible solutions that improve lives. Join us in this journey of exploration and innovation. Visit our website to learn more and watch our introduction video by Einstein: www.choosinglove.ai Together, let's choose AI for a healthier, more informed future. 🌐❤️ #AI #NonCodingDNA #Genomics #HealthcareInnovation #ChoosingLOVE

The convergence of AI and genetic engineering is creating unprecedented opportunities for scientific breakthroughs. In a new series "Under-the-Radar AI 👾 AI/ML Papers,"- we connect dots between AI/ML papers that pass unnoticed; today we investigate how AI is reshaping the landscape of genetic engineering at an astounding pace. We suggest using recent technologies to achieve this, including the research papers "AI Scientist" and "Automated Design of Agentic Systems," as well as Google DeepMind "AlphaFold3." (shared in the comments) ⬇️ This is the dancing between the lines of science, technology and magic. In this series, we investigate how this trio of tools combine to accelerate #GeneticEngineering processes. Learn how these #AI tools could work together to autonomously optimize protein structures (e.g., DNA, precision medication), experiments, and enhance goal-oriented research in ways never before possible. Possibly yielding better results. This is the cutting-edge. 💡

💡In today's episode of AI Game Changers, we're talking with Sergei Yakneen, Chief Technology Officer at Isomorphic Labs who specializes in machine learning, product, life science and medical research. In this interview, Sergei Yakneen’s talks to us about applying machine learning to transform #drugdiscovery and #genomics. The discussion covers large-scale data analysis expertise and how intelligent systems have the potential to improve #healthcare and drive innovation in #biomedicalresearch and drug development. You can learn more about the amazing research at Isomorphic Labs 👉https://lnkd.in/eH5ry4uh 🎥 Stay tuned every week for more insights from brilliant minds behind the ground-breaking work and research that drive advancements in #AI and #machinelearning ! #EPFLAICenter #AIGameChangers #AI4Science #AI4Education  #AI4Health #AI4Sustainability #AI4Society #EPFL