Cell Biology at Scale is coming to Europe! CB@S brings together researchers working at the intersection of cell biology, high-resolution imaging, functional genomics, computational biology, and AI. The meeting is built on a premise that's easy to state but hard to execute: studying cells at scale isn't just about doing more—it's about doing biology differently. This year, we’re partnering with SciLifeLab, Sweden's national research infrastructure for life science, to discuss the future of cell biology. 📍 Stockholm, Sweden 📅 June 3, 2026. Learn more & register ➡️ https://bit.ly/4cTXIib #AI #Biology #SciTech
Cell Biology at Scale Conference Stockholm 2026
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Join us in Stockholm for CB@S 2026—an outstanding lineup of speakers and big ideas shaping the future of cell biology! Our field is being rapidly transformed by new technologies and AI. But scale isn’t just about running more experiments: it’s a shift in how we conceive them, and in the new questions we can now ask. Thrilled to be co-organizing CB@S for the 4th year with many friends, and to partner with SciLifeLab.
Cell Biology at Scale is coming to Europe! CB@S brings together researchers working at the intersection of cell biology, high-resolution imaging, functional genomics, computational biology, and AI. The meeting is built on a premise that's easy to state but hard to execute: studying cells at scale isn't just about doing more—it's about doing biology differently. This year, we’re partnering with SciLifeLab, Sweden's national research infrastructure for life science, to discuss the future of cell biology. 📍 Stockholm, Sweden 📅 June 3, 2026. Learn more & register ➡️ https://bit.ly/4cTXIib #AI #Biology #SciTech
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Cell Biology at Scale is coming to Europe! CB@S brings together researchers working at the intersection of cell biology, high-resolution imaging, functional genomics, computational biology, and AI. The meeting is built on a premise that's easy to state but hard to execute: studying cells at scale isn't just about doing more — it's about doing biology differently. Join us & Biohub for a one-day symposium on multimodal data, AI-driven modeling & the future of cell biology. 📍 Stockholm, Sweden 📅 June 3, 2026. Learn more & register ➡️ https://lnkd.in/dK_Q_JCZ
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I love these papers where two fields overlap (even though it is hard to understand). Here is a new one that popped up in one of my feeds: AetherCell is an AI that aims to act like a virtual biology test lab, predicting what happens when you actually change something in a cell so researchers can design better drugs faster. 👇 #AI4BIO
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Our latests press release is out! In it, we cover the recent work of our Paris-based partners on how “Single-cell imaging and machine learning reveal hidden coordination in algae’s response to light stress”. The team included researchers from Ecole normale supérieure in collaboration with Sony CSL (Paris) and the Institute of Physico-Chemical Biology (IBPC) Paris, France. Learn more at https://lnkd.in/d6QBeDj5
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The SIB Swiss Institute of Bioinformatics highlights every year some outstanding outputs from SIB members. Have a look at some of the great bioinformatics research of SIB members from 2025 in the areas of evolution, protein structures, human genetics, among others. https://lnkd.in/eE_8PbK3
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🧬 Step into the future of digital biology at #NVIDIAGTC next week 🔬 From foundation models that “read and write” biology to accelerated platforms for drug discovery and genomics, see how AI supercharges every stage from data to discovery. 💫 Check out the digital biology sessions: https://nvda.ws/4tZ8zxt
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**Harnessing Advanced Technologies for Aging and Longevity** At Campus Consortium Foundation (CCF), we recognize the potential of integrating Genomics, Quantum Computing, and Advanced AI to optimize longevity. Allosteric Bioscience, Inc. exemplifies how these innovations can reshape our understanding of aging at a molecular level. As we explore these frontiers, how can we best harness such technologies to drive breakthroughs in healthspan? Let’s engage in dialogue on this pressing topic. #investing #innovation #r&d #gentech #artificialintelligence #biology #genetics
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The speaker lineup for Cell Press Symposia: Decoding cellular complexity: Single cell biology in the era of AI reflects the depth and breadth of expertise driving the field forward. Taking place December 2–4, 2026 in Munich, Germany, in partnership with Helmholtz Munich the symposium will convene researchers advancing single-cell biology across experimental and computational domains. The invited speakers represent diverse perspectives spanning multi-omics technologies, spatial and temporal analysis, high-throughput perturbation approaches, and AI-driven data interpretation, highlighting the interdisciplinary nature of modern single-cell research. With scientific leadership from: - Carsten Marr (Helmholtz Munich) - Fabian Theis (Helmholtz Munich) - Barbara Treutlein (ETH Zürich) - Bernadett Gaál (Cell Systems) - Judith Nicholson (Cell Genomics & Cell) We invite you to review the speaker lineup and learn more about the researchers contributing to this meeting. #CPSsinglecellbiology2026 https://hubs.li/Q047GxvY0
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PUBLICATION ALERT - When computational science meets breakthrough research. A study published in Nature Communications uncovered an autism spectrum disorder–related mutation hotspot in the Trio protein—revealing new insights into the molecular mechanisms behind neurodevelopmental disorders. What powered this discovery? Advanced molecular modeling and structural analysis using tools from MolSoft LLC. This is a powerful example of how in silico research is accelerating real-world scientific discoveries—helping researchers decode complex biology faster than ever before. 📖 Scan the QR code to read the full publication and explore the science behind the discovery. #Bioinformatics #ComputationalBiology #MolecularModeling #DrugDiscovery #LifeSciences #ScientificResearch #PrecisionMedicine #Molsoft Surojit Sadhu Dr Shamshair Singh Sardar PMP® Nachiket Joshi Aditya Mishra
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Energy (and free energy) appears as a unifying theme across many domains: in theories of the brain as a predictive engine and the free energy principle in neuroscience, in the use of statistical physics for generative and energy-based models in machine learning, and even in work like The Explorer’s Gene, which links Friston’s free energy principle to exploration, habit formation, and human behavior. I’ve curated some notes on the role of energy across ML/AI and data science, protein folding, brain function, and human behavior. https://lnkd.in/eXeXZ4tS
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