Turbine’s Post

Machine Learning Unveils Origins of Cellular Diversity within Our Bodies #AI #antibioticresistantbacteria #artificialintelligence #Biotechnology #cancertreatmentstrategies #cellularheterogeneity #cellularvariability #chemotherapyefficacy #DensityPhysicsinformedneuralnetworks #DensityPINNs #humanbody #llm #machinelearning #mathematicalmodeling #ProfessorKIMJaeKyoung #signalingsystem

Zebrafish, renowned for their genetic similarity to humans and rapid development, have long been instrumental in studying developmental biology, disease modeling, and drug discovery. However, harnessing the full potential of zebrafish data has been hindered by challenges in tracking, processing, and visualizing complex behavioral and physiological patterns. Enter AI. This transformative technology is revolutionizing how we analyze zebrafish data, offering unprecedented insights into their biology and behavior. From automated tracking algorithms that capture intricate movements to advanced image processing techniques that enhance data quality, AI is paving the way for more efficient and precise research methodologies. Our scientists at InVivo Biosystems have fully embraced the power of AI to navigate the complex interplay between genes, health, and behavior. We secured a grant to develop AI-based solutions for tracking and montioring zebrafish to acquire impactful real-time read-outs of health and behavior. By integrating AI-driven tools into our workflows, we're leveraging state-of-the-art solutions for studying disease mechanisms, screening potential therapeutics, and accelerating the drug discovery process. Interested in learning more about how AI is helping to realize the potential of zebrafish research? Check out this review article: https://lnkd.in/gZAizVdu #ZebrafishResearch #ArtificialIntelligence #CRISPR #PreClinicalResearch #InVivoBiosystems #ScientificInnovation #DrugDiscovery #Biology #ResearchCommunity

Had a fantastic conversation with Kashef Qaadri discussing "The Future Lab - Innovations in Digital Transformation" in Biopharma. Explored trends and opportunities for the industry to leverage data through Artificial Intelligence and Quantum computing. Exciting potential to enhance time to science, accelerate business processes, and transform patient outcomes. Discover how the future biopharma lab will enable seamless collaborations and data-driven insights, catalyzing research advancements. Equipped to integrate data streams, automate repetitive tasks, and accelerate experimentation, the future lab promises transformative impact. Technologies — from AI-driven analytics to high-throughput screening platforms — will revolutionize how scientists explore drug candidates and unravel disease mechanisms faster and more efficiently. Listen to this episode to learn how the future lab will facilitate digital innovations and transform biopharma R&D. #DigitalTransformation #Biopharma #AI #QuantumComputing #DataManagement #BioRad

Just as CRISPR has revolutionized genetic engineering, AI is transforming our daily work at my company in profound ways. It doesn't make the impossible, possible; rather, it turns what once seemed unreachable due to time constraints, data overload, or brainpower into something routine and scalable. In our quest to push disease understanding and drug development through zebrafish research, AI has emerged as an indispensable ally, making intricate analyses more efficient and revealing insights that were previously beyond our grasp. How has AI changed your company?

We had a full office at BioLizard yesterday! It was fun & insightful to host the latest VAIA - Flanders AI Academy Highway Session on #AI in the #LifeSciences at our head office #inGhent 🦎 👉 https://lnkd.in/eZVfEbzU At this event, 4 speakers presented cutting-edge work that merges #biology and #artificialintelligence to extract new scientific knowledge and actionable insights 👀 → Prof. Kris Laukens (University of Antwerp & ImmuneWatch) outlined how #immunopeptidomics, single cell sequencing and #Tcell receptor repertoire sequencing can be leveraged to obtain unique, rich insights into complex interactions between peptide antigens and components of the adaptive #immunesystem. → Prof. Yvan Saeys (VIB & UGent) gave a scientifically and visually beautiful talk about how single cell #spatial omics are revolutionizing our understanding of tissue dynamics & opening up exciting possibilities for defining new & potentially more targeted #biomarkers. → Prof. Stein Aerts (VIB & KU Leuven) demonstrated how his laboratory seamlessly blends experimental and #computationalbiology techniques in order to decipher the genomic regulatory code. → Dr. Andrea Del Cortona (BioLizard) shared different strategies for overcoming the challenge of integrating high-dimensional, #multiomics data, stressing that the approach must fit the data, and a mix of #datascience and biological know-how is the key to success. → At a dynamic panel discussion moderated by Alex Cloherty, PhD 🦠💬 (BioLizard), the expert speakers discussed topics such as... 🎓 the need for education that trains biologists to blend wet-lab experimentation and computational / data science approaches,  💬 the importance of developing 𝗲𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 AI models to gain richer scientific insights and boost their uptake in industry,  🥇and the importance of shifting the norms in the funding of scientific research, in order to reward scientists for validating data and replicating findings - which could ultimately improve the quality of public data and thereby our ability to leverage it using AI. Thanks to the knowledgeable speakers & attendees for your engagement, as well as the teams at VAIA - Flanders AI Academy and Vlaams AI Onderzoeksprogramma / Flanders AI Research Program for the organization 🚀 #dataanalytics #data #lifescience #AIforgood #inGhent #innovation #singlecellsequencing #personalizedmedicine #precisionmedicine

Push the boundaries of scientific inquiry with AI…carefully! Although I advise my students against relying on AI tools to generate text—primarily because AI-produced content often reveals its origins, even when carefully crafted to appear human-like—there is no denying the significant impact AI is poised to have across various scientific domains. In particular, AI's role in translational biology stands out. This field, which bridges fundamental research and clinical applications, is witnessing transformative changes driven by AI technologies that promise to enhance research precision, accelerate discoveries, and empower scientists without compromising the authenticity, creativity, and ethical standards that are at the core of scientific inquiry. The advent of artificial intelligence (AI) in translational biology marks a profound shift in how scientists explore molecular systems, address complex biological questions, and approach therapeutic discovery. Far from replacing traditional scientific processes, AI is reshaping them by offering new methodologies that support, rather than overshadow, the brilliance and ethical integrity of the research community. In fields such as molecular biology, genomics, and personalized medicine, AI-driven approaches are fostering advancements that enable scientists to push the boundaries of discovery and enhance precision in therapeutic applications. Let me show you show you how AI enhances translational biology without compromising scientific rigor… You may read the article by following the link below: https://lnkd.in/dXK4PAK3 Best wishes to all, Prof. Fahd Nasr #AI #biology #genomics #data #algorithms #discovery #ethics #integrity #innovation #cells #biomarkers #diagnostics #medicine #geneediting #CRISPR #epigenetics #omics #pathology #research #sequencing #therapeutics #epigenomics #transcriptomics #proteomics #therapy #clinical

Imagine a world where scientists can simulate the behavior of human cells with precision—unlocking the mysteries of biology and accelerating medical breakthroughs. A team of researchers from Stanford University, Genentech, and the Chan Zuckerberg Initiative is proposing the creation of the first AI-powered virtual human cell, a monumental step that could redefine personalized medicine and drug development. This ambitious endeavor will require global collaboration across disciplines and industries, akin to the Human Genome Project. With AI's predictive and generative capabilities and vast biological datasets, the groundwork is set for this transformative leap. The question isn't just if we can achieve it, but how quickly science can come together to reshape the future of healthcare. https://lnkd.in/gbse6aQp #AI #MedTech #Biology #IP #Patents #VC #DeepTech

This is simply another important and momentous step that, in itself, justifies #AI. When Demis Hassabis and his team at DeepMind began achieving incredible results with their new approaches based on deep reinforcement learning, I remember the criticism they received for focusing on just games such as GO, chess, video games, etc. and not dealing with 'useful' projects. The criticism was silenced with AlphaFold (and AlphaFold 2), where it was demonstrated for the first time that humanity, not even with 7 billion people, has sufficient cognitive capacity to solve large-scale problems in fields such as molecular biology, medicine, climate change, and more. With this new step, AlphaProteo, we are getting closer, indeed, to being able to solve diseases that we wouldn’t be able to tackle without #AI. We are talking about new systems capable of addressing and solving problems that would take humans an extraordinary amount of person-years to solve (if possible). We are starting to see that the promises are being fulfilled, and that personalized medicine, defeating any virus, cancer, etc., could arrive very soon thanks to people like Demis Hassabis and his team. https://lnkd.in/d3BF4PS6

🎧✨ From publication to podcast with artificial intelligence ✨🎧 Have you ever imagined listening to your own scientific paper as a podcast? That’s exactly what I did using #NotebookLM... I tested this AI tool to generate an audio version of our latest publication: "Collablots: Quantification of collagen VI levels and its structural disorganisation in cell cultures from patients with collagen VI-related dystrophies." (We have just sent it to be reviewed and also published a pre-print: https://lnkd.in/dyuEPBrw ) The experience was fascinating, even though there were a few minor inaccuracies. Hearing our work presented in this way really made me reflect on the potential of AI to make scientific research more engaging and accessible to broader audiences. 🔗 You can listen to the AI-generated podcast here: https://lnkd.in/dA-CVjSm 🌟 About the study: We developed #collablots, a novel method to quantify collagen-VI expression and its structural disorganisation in cell cultures from patients with collagen VI-related dystrophies. This technique combines In-cell western/on-cell western (ICW/OCW) assays with innovative disorganisation analyses using collagen hybridising peptides, offering a quicker and more precise way to support diagnosis and the development of new therapies. We tested it in cultures from many patients, including a culture that had been "rescued" by Arístides López Márquez and Cecilia Jimenez-Mallebrera using CRISPR/Cas9 to restore collagen VI expression. 👉 What do you think of using AI to share science in this way? Could it be a game-changer for scientific communication? Andrea López and Nadia Osegui (co-authors of this paper) were in shock when they heard it... #Innovation #AI #ScienceCommunication #Research #NewTechnologies #NucleicAcidTherapeutics #Neuromuscular #COL6RD #RareDiseases

How Memgraph is powering knowledge-driven AutoML in Alzheimer's research🌐 Learn more about how Jason H. Moore, PhD, FACMI, FIAHSI, FASA and his team at Cedars-Sinai are transforming Alzheimer’s research with Memgraph. Using an innovative, knowledge-rich AutoML pipeline, they’re uncovering insights that drive predictive modeling and fuel new drug discovery pathways. 💡 In this Community Call recording, we’ve explored: • How Memgraph's graph database enables the integration of complex biomedical data for more accurate AutoML predictions. • The role of KRAGEN and ESCARGOT—tools designed to connect genomic, clinical, and trial data in a seamless knowledge graph. • Why this unique approach is scaling Alzheimer’s research with contextualized, real-time insights. Curious to learn more? Dive into the recam blog post or watch the entire Community Call recording to see how Memgraph is advancing the future of biomedical AI: https://lnkd.in/dhwVfjMd #AlzheimersResearch #MachineLearning #AutoML #KnowledgeGraph #Memgraph #GraphDatabase #DataScience