In this month's edition of #BigScience: 📆 Top science stories of 2024 🚨 A new kind of first responder 🌱 Promising photosynthesis gene discovery
Oak Ridge National Laboratory’s Post
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In a rapidly advancing world, where innovations like gene editing and AI are reshaping our future, the excitement of progress is accompanied by growing concerns. Are these developments leading us toward a better future? Are these advancements truly progress? How do ethical, moral, and spiritual considerations remain at the forefront of our collective journey? A interdisciplinary team at Arizona State University, led by grantee Ben Hurlbut is exploring how science, technology, and the human condition intersect. Focusing on three key areas—human identity, digital innovation, and our relationship with nature—the ASU team probes how these developments shape our ideas of progress. The goal is to understand how society navigates these changes, urging us to consider not just where technology is taking us, but what kind of future we are building and inspire new ways of thinking about the futures we are creating. Learn more: https://bit.ly/4doBphQ
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If you would like to learn more about the context and implications of — and the big ideas surrounding — the newly announced Nobel prizes, I invite you to read my new book. #AI #technology #biotechnology
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https://superconvergencebook.com
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The Nobel Prize in the sciences really knocked it out of the park this year!! These are foundational and already widely adopted technologies changing the world. Starting out with machine learning, which is the foundation for the A.I. revolution. For example, my daughter who is in college is using Hopfield parameters in her research work today. Machine-learning in turn enabled protein structure prediction as exemplified by AlphaFold, which is absolutely ground-breaking for drug-discovery and already used daily by many of our portfolio companies shaving years off the timeline. Lastly, the discovery of microRNA as a crucial guide for gene regulation will enable the future programming of life very broadly. Wow!
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𝐀 𝐍𝐞𝐰 𝐖𝐨𝐫𝐥𝐝 𝐢𝐧 𝐌𝐞𝐝𝐢𝐜𝐢𝐧𝐞: Addressing global challenges starts with enhancing the human experience and peaks with innovative solutions. Today, I reflect on 𝐩𝐡𝐚𝐫𝐦𝐚𝐜𝐞𝐮𝐭𝐢𝐜𝐚𝐥𝐬 and the many great minds lost due to medications intended for good. With advancements in DNA and genetics, there are promising ways to 𝐃𝐍𝐀-𝐦𝐚𝐭𝐜𝐡 𝐦𝐞𝐝𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐢𝐧𝐝𝐢𝐯𝐢𝐝𝐮𝐚𝐥𝐬, minimizing negative side effects and addiction risks. Integrating AI into this field can analyze genetic data, predict responses, and recommend personalized treatments. This vision becomes more attainable as AI technology advances, offering precise, safe, and effective medication tailored to genetic profiles. This transformation could revolutionize the pharmaceutical industry, paving the way for a future where science and compassion converge to enhance and save lives. #FAANG #NASA #AI #BigPharma #Genetics #HealthcareInnovation #PersonalizedMedicine #FutureOfMedicine
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#WeeklyDigest | 𝗦𝘄𝗶𝘀𝘀 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻, 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 & 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 | A weekly recap of the latest achievements of Switzerland's higher education and research institutions, startups and other innovation-driven organizations: 𝗣𝗵𝘆𝘀𝗶𝗰𝘀 / 𝗖𝗵𝗲𝗺𝗶𝘀𝘁𝗿𝘆 / 𝗠𝗮𝘁𝗵 - Einstein's Equations Collide with the Mysteries of the Universe (University of Geneva) >> https://lnkd.in/gMu4YcGm - Discovering "Red Monsters" in the Early Universe (University of Geneva) >> https://lnkd.in/gU7UnyEF 𝗘𝗻𝗲𝗿𝗴𝘆 / 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 - Nuclear Waste Storage Needs to Withstand an Ice Age (University of Bern) >> https://lnkd.in/g2F7kzea 𝗟𝗶𝗳𝗲 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 - Glioblastoma: New Treatment Attacks Brain Tumors from Multiple Angles (University of Basel) >> https://lnkd.in/gafpSC7m - Advancements in Monitoring Diabetes During Pregnancy (University of Geneva) >> https://lnkd.in/gjp_Zisr - Using CRISPR to Decipher whether Gene Variants Lead to Cancer (ETH Zürich) >> https://lnkd.in/gkFgWuyJ 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 / 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 / 𝗦𝗽𝗮𝗰𝗲 - New Type of Weather Radiosonde Can Find Its Way Back (EPFL) >> https://lnkd.in/gH6ciKdj 𝗦𝘁𝗮𝗿𝘁𝘂𝗽𝘀 / 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗧𝗿𝗮𝗻𝘀𝗳𝗲𝗿 / 𝗜𝗣𝗥 / 𝗣𝗮𝘁𝗲𝗻𝘁𝘀 - Technology Transfer at Empa (Empa) >> https://lnkd.in/g2YiYN3n - Reimagining Authentication with Everyday Objects (ETH Zürich) >> https://lnkd.in/gQF4_BeW 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁 - Emulating Natural Cell Communication with Synthetic Cells (University of Basel) >> https://lnkd.in/gqjb5btk - New Extinct Coelacanth Species Discovered (University of Geneva) >> https://lnkd.in/gVkc9YkN - Simulating how Fruit Flies See, Smell, and Navigate (EPFL) >> https://lnkd.in/g7NaTB3f 🇨🇭 Follow #ScienceSwitzerland for the latest news and emerging trends on Swiss science, technology, education and innovation >> swissinnovation.org Follow us >> Science-Switzerland #AddingValue | #Education | #Research | #Innovation
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🏆 Today it's Chemistry's turn, and proteins have rightfully stolen the spotlight. A well-deserved Nobel Prize has been awarded to 𝗗𝗮𝘃𝗶𝗱 𝗕𝗮𝗸𝗲𝗿, the scientific founder of CHARM Therapeutics, for his pioneering work in computational protein design (including the design of de novo enzymes and ligand-binding proteins), along with 𝗛𝗮𝘀𝘀𝗮𝗯𝗶𝘀 and 𝗝𝘂𝗺𝗽𝗲𝗿 for protein structure prediction. It’s no surprise, really, given their revolutionary work with AlphaFold2, which has solved the protein structure prediction problem for monomeric proteins with a backbone accuracy of about 1 Å – comparable to experimental accuracy. Both groundbreaking achievements that are not only making remarkable contributions to fundamental science but are also revolutionising drug discovery! To put it in the words of the Nobel prize committee: "𝘛𝘩𝘦𝘪𝘳 𝘸𝘰𝘳𝘬 𝘩𝘢𝘴 𝘰𝘱𝘦𝘯𝘦𝘥 𝘶𝘱 𝘢 𝘯𝘦𝘸 𝘦𝘳𝘢 𝘰𝘧 𝘣𝘪𝘰𝘤𝘩𝘦𝘮𝘪𝘤𝘢𝘭 𝘢𝘯𝘥 𝘣𝘪𝘰𝘭𝘰𝘨𝘪𝘤𝘢𝘭 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩, 𝘸𝘩𝘦𝘳𝘦 𝘸𝘦 𝘤𝘢𝘯 𝘯𝘰𝘸 𝘱𝘳𝘦𝘥𝘪𝘤𝘵 𝘢𝘯𝘥 𝘥𝘦𝘴𝘪𝘨𝘯 𝘱𝘳𝘰𝘵𝘦𝘪𝘯 𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦𝘴 𝘪𝘯 𝘸𝘢𝘺𝘴 𝘵𝘩𝘢𝘵 𝘩𝘢𝘥 𝘯𝘰𝘵 𝘣𝘦𝘦𝘯 𝘱𝘰𝘴𝘴𝘪𝘣𝘭𝘦 𝘣𝘦𝘧𝘰𝘳𝘦. 𝘏𝘦𝘯𝘤𝘦, 𝘢 𝘭𝘰𝘯𝘨-𝘴𝘵𝘢𝘯𝘥𝘪𝘯𝘨 𝘨𝘰𝘢𝘭 𝘩𝘢𝘴 𝘧𝘪𝘯𝘢𝘭𝘭𝘺 𝘣𝘦𝘦𝘯 𝘮𝘦𝘵, 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘪𝘮𝘱𝘢𝘤𝘵 𝘰𝘧 𝘵𝘩𝘪𝘴 𝘸𝘪𝘭𝘭 𝘩𝘢𝘷𝘦 𝘧𝘢𝘳-𝘳𝘦𝘢𝘤𝘩𝘪𝘯𝘨 𝘤𝘰𝘯𝘴𝘦𝘲𝘶𝘦𝘯𝘤𝘦𝘴." #proteinstructure #alphafold #Rosetta #NobelPrizeChemistry
The Nobel Prize in the sciences really knocked it out of the park this year!! These are foundational and already widely adopted technologies changing the world. Starting out with machine learning, which is the foundation for the A.I. revolution. For example, my daughter who is in college is using Hopfield parameters in her research work today. Machine-learning in turn enabled protein structure prediction as exemplified by AlphaFold, which is absolutely ground-breaking for drug-discovery and already used daily by many of our portfolio companies shaving years off the timeline. Lastly, the discovery of microRNA as a crucial guide for gene regulation will enable the future programming of life very broadly. Wow!
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Revolutionary AI Decodes and Designs DNA A new AI model developed by scientists is not only decoding complex DNA sequences but also designing them. This breakthrough could accelerate healthcare innovations and reshape biotechnology. Learn more about its impact on the future of genetic research! #AI #Biotech #HealthcareInnovation #Genetics Read Here - https://lnkd.in/dhesCjbT
Scientists Unveil Breakthrough AI Model Capable of Decoding and Designing DNA
techinsynced.com
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"Digital twin technology, a burgeoning innovation, mirrors physical objects, processes, or systems in a virtual realm. This doppelgänger, an exact digital replica, dynamically mirrors its real-world counterpart's behavior, enabling real-time insights and analysis. Initially utilized in manufacturing, its application horizon now extends to various sectors like healthcare, urban planning, and even space exploration. Explore the latest advancements and related reports by BIS Research"... Digital twin market AI in energy market AR in agriculture market Cell & gene therapy market https://lnkd.in/gaFiXS2T
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How do we simulate dynamical systems? In this new post, I explore how you can use tools like #copasi and #R to simulate a 5 gene regulatory network, and briefly touch on how we can use such tools to do in silico experiments that we can use to generate hypotheses to go into the lab. Applications into #QSP, #drugdiscovery, #networkinference, #computationalbiology and developing #machinelearning models. Follow me for more on computational biology and machine learning applications. Happy computing! https://lnkd.in/e7Y7xs8c
Simulating perturbations on gene regulatory networks
http://computingbiology.blog
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🧬 Breaking: AI Just Learned to "Speak" Biology! Mind-blowing paper in Science introduces "Evo" - an AI that reads and writes the language of life itself! 🤯 This 7B parameter model trained on 2.7M genomes isn't just analyzing DNA - it's engineering it. We're talking: Predicting mutation impacts Designing CRISPR systems Generating full bacterial genomes Creating working genetic elements Using its novel "StripedHyena" architecture, Evo processes DNA sequences 131K base pairs long - far beyond previous limits! 🚀 Why this matters? We're moving from reading life's code to writing it. Think: 🔬 Accelerated drug discovery 🧪 Revolutionary gene therapies 🌾 Next-gen agriculture 🔋 Bio-engineered solutions The future? Think AutoCAD but for organisms. We're approaching biology's singularity. Important note: Built-in safety measures exclude viral genomes. As we unlock these capabilities, responsible development is crucial. We're not just understanding life anymore - we're learning to compose it. #AI #Biotechnology #FutureOfScience #Innovation Thoughts? 🤔
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