Isomorphic Labs’ Post

From BRIQUE's Desk!!! Google has revealed a pioneering AI-driven technology aimed at forecasting the behavior of human molecules, marking a significant milestone in the realm of artificial intelligence and molecular science. Leveraging advanced machine learning algorithms, the innovation enables researchers to predict the interactions between various molecules with unparalleled precision and efficiency. The technology, termed "AtomAI," is a testament to Google's commitment to advancing the frontiers of AI and its application in diverse domains beyond traditional computational tasks. By harnessing the power of AI, AtomAI revolutionizes the field of molecular dynamics, offering scientists and researchers invaluable insights into the behavior and properties of complex molecular systems. One of the key features of AtomAI is its ability to simulate the behavior of molecules in real-world scenarios, providing a virtual laboratory for studying molecular interactions and phenomena. This capability holds immense potential for accelerating drug discovery, materials science, and other critical areas where understanding molecular behavior is paramount. Moreover, AtomAI's predictive capabilities extend beyond mere simulations, enabling researchers to identify novel molecular structures and properties that may have previously eluded detection. This opens up new avenues for innovation and discovery in fields ranging from pharmaceuticals to renewable energy. Google's unveiling of AtomAI underscores the transformative impact of AI on scientific research and underscores the company's ongoing efforts to push the boundaries of what is possible with artificial intelligence. As AtomAI continues to evolve and mature, it is poised to catalyze groundbreaking discoveries and drive innovation across a wide range of industries. #GoogleAI #MolecularScience #Innovation #ArtificialIntelligence #BRIQUEsDesk Source: https://lnkd.in/gSG24xek

Google DeepMind's #AlphaFold3 launched yesterday, and I have never seen so much coverage for a LifeSciences paper! And it's not only on LinkedIn or within the scientific community ... Alphafold is in the mainstream media! when is the last time this happened for a scientific discovery (#CRISPR? ... and then it got The Nobel Prize 😎 ). Here are just a few links to the media coverage: 📌 Financial Times "Google DeepMind unveils AI model for living cells" - https://lnkd.in/e7-Bmt9W 📌 Fast Company "Google DeepMind's AlphaFold 3 could speed up drug discovery for diseases" - https://lnkd.in/euuSDw8R 📌 DER SPIEGEL "Einblick in den Maschinenraim des Lebens" [ Insight into the engine room of life]- https://lnkd.in/eGiSCfqA 📌 TIME "Google DeepMind’s Latest AI Model Is Poised to Revolutionize Drug Discovery" - https://lnkd.in/e8MGTmkw 📌 MIT Technology Review "Google DeepMind’s new AlphaFold can model a much larger slice of biological life" - https://lnkd.in/e2HqMKac 📌 Fortune "Google DeepMind and Isomorphic Labs reveal AI able to predict large swathes of molecular biology" - https://lnkd.in/eVCjHn_y 📌 TechCrunch "Google DeepMind debuts huge AlphaFold update and free proteomics-as-a-service web app" - https://lnkd.in/eKNsqy2x Congratulations to everyone who made this possible, it's truly impressive and definitely a landmark not only in AI applied to life sciences but for sciences in general - Joshua Abramson, Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Alexander Pritzel, Olaf Ronneberger, Lindsay Willmore, Isomorphic Labs, Demis Hassabis

🔬 Revolutionizing Drug Discovery with Generative AI 💊✨ Join me as we embark on an exciting journey into the forefront of medical science, where generative AI is transforming the landscape of drug discovery. Discover how giants like NVIDIA and Insilico Medicine are leveraging AI to make breakthroughs faster, cheaper, and more effectively than ever before. 🚀🧬 🔗 https://lnkd.in/edUwwars In This Video, Learn About: The Power of Generative AI: Understand how the technology behind innovations like ChatGPT is now pioneering the rapid advancement of drug discovery. 🤖👨🔬 Accelerated Discoveries: Dive into how NVIDIA's application of generative AI to the 'languages' of DNA, proteins, and chemicals is speeding up our understanding and creation of new therapies. 🧪💡 Phases of Drug Discovery: Explore how generative AI is enhancing each stage of drug development, from identifying target diseases to optimizing treatment leads. 🎯🌟 Breakthrough Collaborations: Be inspired by NVIDIA's partnership with Recursion Pharmaceuticals, screening quadrillions of molecule-target pairs in record time. 🔎🕒 📚 For an in-depth exploration of how generative AI is reshaping various industries, including healthcare, check out "Generative AI in Practice." #GenerativeAI #DrugDiscovery #HealthcareInnovation #BernardMarr #NVIDIA #InsilicoMedicine #AIHealthcare #MedicalScience #FutureOfMedicine #TechTrends

As an AI engineering student, I’m fascinated by the insights of AI leaders like David Silver and Regina Barzilay. Their groundbreaking work showcases how AI is transforming industries: 🚀 David Silver (Google DeepMind) explains reinforcement learning, where AI learns from experience, just like us! From mastering complex games like Go to helping robots perform sophisticated tasks, the possibilities are endless. 🧬 Regina Barzilay (MIT) shared how AI is revolutionizing healthcare by detecting early-stage breast cancer, something even doctors might miss. Her team also discovered a new antibiotic using AI—marking the first breakthrough in 30 years. AI is not just about automation. It's about creativity, intuition, and solving problems we thought were impossible. Listening to these pioneers makes me more excited about the future of AI and my role in it! 🔗 How do you see AI shaping the future? #ArtificialIntelligence #TechRevolution #AIInnovation #MachineLearning #AIHealth #DeepLearning #FutureOfAI #BBC #HCC #HoustonCommunityCollege #Google #HealthcareinAl

"Many large language models in life science have now moved to a hyper-accelerated phase." – Eric Topol Recently, Stanford researchers introduced a "Virtual Lab"* of five domain-specific AI agents (see image), tasked them with designing nanobodies against SARS-CoV-2, and in record time, they delivered two potential candidates. It makes me wonder... What use cases in care delivery (not life science) could benefit from a Mixture of Experts (MoE) set-up? And how do we ensure clinicians are trained to leverage these experts effectively? Big questions, no answers from me yet (thinkering). *Source = The Virtual Lab: AI Agents Design New SARS-CoV-2 Nanobodies with Experimental Validation

Google DeepMind and BioNTech SE have partnered to develop AI-powered lab assistants designed to revolutionize scientific research. Led by Sir Demis Hassabis, DeepMind is creating a specialized AI model to act as a virtual research assistant, fostering interdisciplinary collaboration and uncovering new scientific insights. Read more: https://lnkd.in/d2Wfe3bK #DeepMind #BioNTech #AIInScience #LabAutomation #ResearchInnovation #ArtificialIntelligence #ScientificBreakthroughs #InterdisciplinaryResearch

A vision of using AI to model and simulate biology and life, why it is important? Because at the core of medicine, pharmacy, health, longevity... it is biology at work, and biology in physical world is too complex to manipulate and always expsive and risky to temper with. An AI driven virtual life opens up a safer and affordable alternative platform to explore and experiment novel designs and interventions. Excited to be part of this journey!

🚀 Meta Unveils Meditron: The Future of AI in Healthcare is Now! 🚀 Get ready to be amazed! EPFL School of Computer and Communication Sciences and Yale School of Medicine teamed up with AI at Meta to release #Meditron, a groundbreaking suite of #OpenSource Large Language Models (#LLMs) designed to revolutionize the medical field. 🏥🧠 What makes #Meditron so special? 1️⃣ Powered by #Llama2: Built upon the foundation of the renowned Llama-2 model, Meditron brings cutting-edge #AI capabilities to healthcare. 2️⃣ Medical Expertise Unleashed: Fine-tuned on a massive corpus of medical knowledge, including #PubMed articles, clinical guidelines, and more. This means Meditron could truly understands the complexities of medical language and reasoning. 3️⃣ Unleash the Potential: Researchers and developers can now harness the power of Meditron to create innovative medical applications that were previously unimaginable. Think faster diagnoses, personalized treatment plans, and streamlined research. 📖Dive into the research: Explore the technical details of Meditron in the official paper (links in comments). 🔎Access the models: Get your hands on #Meditron7B and #Meditron70B on the Hugging Face model hub. ⚠️Disclaimer: Remember, Meditron is a powerful tool with immense potential, but it's still in its early stages. Always consult with healthcare professionals for medical advice. Let's spark a conversation! Share your thoughts on how Meditron could transform healthcare. What are the most exciting potential applications? What are the #Ethical considerations we need to address? Let's hear your insights! 👇 #Meta #Meditron #MedicalAI #FutureOfMedicine #MedicalInnovation #AIEthics

🎉👏🎉 #AI #ArtificialIntelligence #Medicine 🎉👏🎉 ⬇️ 𝗛𝗼𝘄 𝗔𝗜 𝗚𝗮𝘃𝗲 𝗮 𝗣𝗮𝗿𝗮𝗹𝘆𝘇𝗲𝗱 𝗪𝗼𝗺𝗮𝗻 𝗛𝗲𝗿 𝗩𝗼𝗶𝗰𝗲 𝗕𝗮𝗰𝗸! ⬇️ 𝗦𝘂𝗺𝗺𝗮𝗿𝘆 Breakthrough brain implant and digital avatar allow stroke survivor to speak with facial expressions for first time in 18 years. By Robin Marks and Laura Kurtzman, link ==> https://bit.ly/4fGCKCb 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁 University of California, San Francisco has peformed a virtual miracle in using AI to allow a woman to use technology to restore the power of speech! 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 At the age of 30, Ann suffered a brainstem stroke that left her severely paralyzed. She lost control of all the muscles in her body and was unable even to breathe. It came on suddenly one afternoon, for reasons that are still mysterious. For the next five years, Ann went to bed each night afraid she would die in her sleep. It took years of physical therapy before she could move her facial muscles enough to laugh or cry. Still, the muscles that would have allowed her to speak remained immobile. “Overnight, everything was taken from me,” Ann wrote, using a device that enables her to type slowly on a computer screen with small movements of her head. “I had a 13-month-old daughter, an 8-year-old stepson and 26-month-old marriage.” Today, Ann is helping researchers at UC San Francisco and UC Berkeley develop new brain-computer technology that could one day allow people like her to communicate more naturally through a digital avatar that resembles a person. It is the first time that either speech or facial expressions have been synthesized from brain signals. The system can also decode these signals into text at nearly 80 words per minute, a vast improvement over the 14 words per minute that her current communication device delivers." Enjoy, T. Scott Clendaniel #Analytics #BigData #DataMining #DataScience #MachineLearning #Programming #Technology #TScottClendaniel

🔍 Introducing Our COVID-19 Detection System Project! 🔍 Thrilled to share that our team — myself, Pranshu Verma, Mandeep singh Oberoi, and Raghav Sharma — is working on a machine learning model to detect COVID-19 from chest X-ray images. By leveraging Convolutional Neural Networks (CNNs), our goal is to support healthcare professionals with rapid and accurate preliminary diagnoses. 💻✨ Objective: To create an automated detection system that reduces diagnostic time and aids medical staff, especially in areas with limited resources. Stay tuned for updates as we dive deeper into our model’s architecture and results! 📊🔍 #COVID19 #MachineLearning #DeepLearning #HealthTech #ArtificialIntelligence #HealthcareInnovation #XRayImaging #COVIDDetection #TechForGood