AI is rewriting the rules in drug development. With technologies like active learning and interpretable AI, we’re speeding up the creation of more effective treatments and revolutionizing medicine. The future? It’s not just a promise; it's already here. ⚡ Don’t fall behind! Follow School of Disruption | Titan and turn on notifications so you won’t miss free webinars, exclusive courses, and all the latest on disruptive innovation. 💣 #artificialintelligence #drugdevelopment #medicine #pharma #drug #ai #molecularbiology #biology #research #biochemistry
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AI is rewriting the rules in drug development 💊 With technologies like active learning and interpretable AI, we’re speeding up the creation of more effective treatments and revolutionizing medicine. The future? It’s not just a promise; it's already here. ⚡ Don’t fall behind! Follow School of Disruption, you won’t miss free webinars, exclusive courses, and all the latest on disruptive innovation. 💣 #artificialintelligence #drugdevelopment #medicine #pharma #drug #ai #molecularbiology #biology #research #biochemistry
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Dear bio enthusiasts, I have been continuing to read about the fusion of AI and biotechnology and have been impressed by the groundbreaking possibilities in healthcare, in particular. From accelerating drug discovery to enabling personalized medicine, AI-powered solutions are transforming the way we understand and treat diseases. By automating data analysis and optimizing clinical trials, AI reduces the cost and time of bringing life-saving drugs to market. Combining genomics, proteomics, and metabolomics with AI allows for precision in diagnosis and treatment. Further, we have enhanced understanding of cellular diversity and microbial ecosystems, allowing for targeted therapies. It is an exciting time to be alive as we witness the future of healthcare. What has you excited with these developments and the potential of AI? And what strategies do you think are essential for scaling it all while making it more accessible? Let us discuss! #Biotechnology #AI #Innovation #PrecisionMedicine #Healthcare #LifeSciences #LearnAndShare #Collaboration #Inspiration #PersonalGrowth #KeepLearning #TrendingNow
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The 2024 Nobel Prize in Chemistry highlights the transformative role of AI in drug discovery and biotechnology. The work by Demis Hassabis, John Jumper, and David Baker represents a major breakthrough in predicting and designing protein structures—long considered a “holy grail” in physical chemistry. Their use of AI to predict the structure of nearly all known proteins accelerates the search for new therapies and drug targets, addressing previously unmet medical needs. The AI-powered AlphaFold database, now accessible to millions of researchers, has revolutionized biological research by providing quick, precise protein models. This speeds up advancements in drug development, vaccine creation, and the exploration of novel treatments, offering immense potential for future medical breakthroughs. AI is becoming a critical tool in overcoming complex scientific challenges, redefining the boundaries of innovation in life sciences. #AI#breakthrough#innovationscience#nobelprize#medicine#drugdiscovery#unmetmedicalneed#
Huge news today that recognizes the role AI is already playing in reimagining medicine. Novartis is proud to work alongside Demis and the team at Isomorphic Labs to accelerate our drug discovery efforts and create new therapies to treat a range of diseases. Alphafold is already transforming the ways we find new medicines and accelerating our research efforts. We’re just beginning to realize the potential of this technology, but the impact will only grow over time. On behalf of all of us, congratulations to Demis Hassabis, John Jumper, and David Baker on the recognition of their historic work.
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This week, find us at Discovery US 2024 in Boston where we'll share insights into how we are using AI and map-based drug discovery to advance new potential treatments. ▪ On Nov. 8 at 9:30am, Noel Powell, senior director of medicinal chemistry, presents “Recursion’s Phenomic Map-Based Drug Discovery Approach: From Project Ideation To Lead Optimization.” He'll discuss how the Recursion OS provides a mapping and navigating approach that enables us not only to unravel the complexity of biology but also to identify chemical starting points and drive SAR, allowing us to efficiently advance projects from initiation through different stages of pre-clinical development. ▪ On Nov. 8 at 10:20am, Julie Owen, director of chemistry, presents “Targeting The Unknown: AI’s Shortcut To Drug Discovery.” She'll explain how we are using AI and data-driven approaches to radically improve the efficiency of drug discovery – commanding massive experimental and computational scale and uniting technology, biology and chemistry to advance the future of medicine. 👉 Learn more and register here: https://lnkd.in/eiVG3w28 #DiscoveryUS #DiscoveryUS24 #chemistry #smallmolecules #drugdiscovery #techbio #AI
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Is your pharma or healthcare business mulling over the usage of AI applications? Before diving headfirst into AI implementation, it’s crucial to ensure your pharma organisation is prepared for smooth adoption. With companies like Recursion Pharmaceuticals using AI-driven automation, bioinformatics, and experimental biology to identify treatments for diseases with the goal of curing 100 diseases in ten years - the world of AI is rapidly transforming healthcare. Swipe to learn how you can prepare your business for a smooth entrance of AI application. 👉 #AI #AIApplication #AIStrategy #AISolutions
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𝐀𝐝𝐯𝐚𝐧𝐜𝐢𝐧𝐠 𝐋𝐢𝐠𝐚𝐧𝐝 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐰𝐢𝐭𝐡 𝐀𝐥𝐩𝐡𝐚𝐅𝐨𝐥𝐝𝟐 𝐌𝐨𝐝𝐞𝐥𝐬 💊 AlphaFold2 (AF2) has revolutionized protein structure prediction, opening up new possibilities for structure-based ligand discovery. Researchers have now demonstrated that AF2 models can be effectively used for large library docking, even in the absence of experimental structures. This study focused on docking campaigns against the σ2 and 5-HT2A receptors, comparing AF2 models with traditional experimental structures. Despite concerns over AF2’s accuracy in modeling ligand binding sites, the results were impressive. The hit rates for AF2-based docking were comparable to those achieved with experimental structures. Hundreds of molecules were synthesized and tested, leading to the discovery of potent and selective compounds, including novel agonists for the 5-HT2A receptor. AF2 models offer a powerful tool for drug discovery, capturing low-energy states of proteins that are crucial for identifying new ligands. This study highlights the potential of AF2 to expand the scope of protein targets in drug development, complementing traditional experimental approaches. Explore how AF2 is driving innovation in ligand discovery: https://lnkd.in/d8b3nMYJ At Medvolt, we harness the power of generative AI, alongside other large language models (LLMs) and deep learning technologies, through our innovative platform 𝐌𝐞𝐝𝐆𝐫𝐚𝐩𝐡. 𝐅𝐞𝐞𝐥 𝐟𝐫𝐞𝐞 𝐭𝐨 𝐜𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬 𝐢𝐟 𝐲𝐨𝐮 𝐡𝐚𝐯𝐞 𝐚𝐧𝐲 𝐢𝐧𝐪𝐮𝐢𝐫𝐢𝐞𝐬 𝐨𝐫 𝐫𝐞𝐪𝐮𝐢𝐫𝐞 𝐚 𝐝𝐞𝐦𝐨𝐧𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧. 𝐖𝐞'𝐫𝐞 𝐡𝐞𝐫𝐞 𝐭𝐨 𝐚𝐬𝐬𝐢𝐬𝐭 𝐲𝐨𝐮 𝐚𝐧𝐝 𝐩𝐫𝐨𝐯𝐢𝐝𝐞 𝐜𝐥𝐚𝐫𝐢𝐭𝐲. Visit our website: https://www.medvolt.ai or reach out to us via email: contact@medvolt.ai #drugdiscovery #drug #ai #llm #ml #biotech #Proteomics #AlphaFold2 #StructuralBiology #AlphaFold2 #DrugDiscovery #Bioinformatics #ProteinStructures #PharmaceuticalResearch
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Google DeepMind introduced AlphaProteo, the state-of-the-art AI system for designing novel, high-strength protein binders to serve as building blocks for biological and health research. This technology has the potential to accelerate our understanding of biological processes, and aid the discovery of new drugs, the development of biosensors and more. https://lnkd.in/d2RNgsc8 #bioai
AlphaProteo generates novel proteins for biology and health research
deepmind.google
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Up to 90% of drugs under development fail before they reach market, but teams at CSIRO are hoping #AI can accelerate the search for new antibiotics. Our latest article features insights from Dr Lewis Blackman of the Drug Discovery Chemistry Team, and Prof Denis C. Bauer, GAICD of the Transformational Bioinformatics group. Read and share below: #AMR #WAAW #MinimisingAMR #AItechnologies https://lnkd.in/gp2qVWtE
Accelerating AI to search for new antibiotics
amr-action.au
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#GoogleNext Preview: The #biology #generativeAI solution for #pharma #researchanddevelopment Looking forward to this session with: Liran Belenzon (he/him) at BenchSci He'll cover how the transformative role of Google Cloud’s #MedLM in advancing preclinical research. Learn how BenchSci develops Generative AI solutions empowering scientists to understand complex connections in #biologicalresearch, saving them time and financial resources and ultimately bringing new medicine to patients faster. Discover how MedLM’s critical contribution is transforming the industry. #biosciences #googlecloud #genai #googlenext24
The biology generative AI solution for pharma research and development
cloud.withgoogle.com
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