insitro的动态

Day 1 of 17th Drug Discovery Strategic Summit 2024 kicked off with groundbreaking presentation by Jakob E. Larsen – Director of Drug Discovery Project , Novo Nordisk, delving into their innovative Target Discovery Strategy. Topic : Novo Nordisk’s Target Discovery Strategy – Combining AI/ML, Genetics, and Patient-Centric Approaches. In this session, he explored how Novo Nordisk is revolutionizing drug discovery and development by integrating cutting-edge technologies like Artificial Intelligence and Machine Learning with advanced genetic insights. By taking a patient-centric approach, they aim to not only identify the most promising therapeutic targets but also personalize treatment to improve patient outcomes. Stay Tuned for more updates. #DDSS24 #DDSS24 #DrugDiscovery #BiopharmaInnovation #PharmaEvents #Munich #novonordisk #AI #machinelearning

Artificial intelligence (AI) is transforming industries worldwide, and biotechnology is at the forefront of this revolution. In this video, we dive into the powerful synergy between AI and biotech, exploring how AI accelerates drug discovery, enables precision medicine, and uncovers genomic insights. Learn how AI-driven innovation is reshaping patient care and healthcare research, bringing us closer to personalized medicine and groundbreaking treatments. From ethical challenges to limitless possibilities in gene editing and synthetic biology, discover how AI is driving the future of biotechnology. Watch now to unlock the full potential of AI in healthcare! Visit Us for More Details: https://lnkd.in/dgggXKTG #AIinBiotechnology #HealthcareInnovation #AIinHealthcare #PrecisionMedicine #BiotechRevolution #DrugDiscovery #Genomics #SyntheticBiology #PersonalizedMedicine #BiotechInnovation #ArtificialIntelligence #TechInHealthcare #AIRevolution #FutureOfHealthcare

Just completed Insilico Medicine's course on Disease Modeling and Target Discovery. Key takeaways for me include: the transformative role of AI and machine learning in drug discovery, advancements in protein structure modeling, and novel approaches to identifying disease targets. I got to try my hands on Insilico Medicine's PandaOmics platform, a remarkable AI-driven tool for drug target discovery. My understanding of utilizing AI and Omics datasets has greatly enhanced my ability to approach drug discovery in a more informed and strategic manner, truly embodying the shift from AI hype to practical application in the field. This knowledge is crucial for strategic decision-making in biopharma, allowing for more data-driven and efficient approaches. Excited to integrate these insights into my work in the evolving landscape of biopharma strategy. Many thanks to Alex Zhavoronkov, Kyle Tretina, PhD and other members of Insilico Medicine's team for putting this great course together. #biopharma #aidrugdiscovery #drugdevelopment

This is a massive advancement in the field of biology prediction thanks to Google DeepMind launch of AlphaFold 3, an enhanced biological prediction tool that can model a broader range of biological life. This has the potential to transform drug discovery and scientific research. “Biology is a dynamic system,” DeepMind CEO Demis Hassabis told reporters on a call. “Properties of biology emerge through the interactions between different molecules in the cell, and you can think about AlphaFold 3 as our first big sort of step toward [modeling] that.” This version of AlphaFold extends its capabilities to DNA, RNA, and key drug discovery molecules like ligands, providing a deeper understanding of molecular interactions. #ai #unexpectedconvergentconsequences #biology #aihealthcare

Published in a report earlier this month, DeciBio forecasts the spatial biology market is growing at 21% p.a. and will reach $2.27B by 2029. Core Drivers ?? Increased Access and Familiarity: Stakeholders, notably pharma, can scale up via CROs; An increasing number of companies have enough data to justify further investment Improving Workflows: Integrated end-to-end workflows enable higher throughput, critical for scaling up and improving reproducibility Integration of AI?and Digital Pathology: AI enables more advanced spatial analysis; pharma invests heavily in informatics and spatial vendors continue to partner with DP companies Plex and Resolution Advances: Single-cell resolution at a high plex and large ROI enables new levels of data, building on traditional single cell analysis Summary report linked in the comments below ???? #spatialbiology #genomics

Major AlphaFold upgrade A new version of DeepMind’s AlphaFold tool gives scientists the ability to predict protein structures during interactions with other molecules. The tool could be transformative for drug discovery because it can predict the shape of proteins that contain function-altering modifications, or their structure alongside those of DNA, RNA and other cellular players that are crucial to a protein’s duties. “This is just revolutionary,” says biochemist Frank Uhlmann. “It’s going to democratize structural-biology research.” Access to the AlphaFold3 server, however, is limited — partly to protect the advantage of DeepMind’s own drug-discovery spin-off company. #alphafold #deepmind #structuralbiology #research #drugdiscovery #proteinstructure #DNA #RNA https://lnkd.in/dZZKCuEh

What would you say is the ratio of breakthroughs to breakdowns in AI drug development? ?? Yesterday at BioTechX Europe, our CTO, Miha Stajdohar, tackled this question in a panel. Thank you, Blanca Baez (DBounce Ltd), James Zanewicz, JD, LLM, RTTP (Tulane University School of Medicine), Bruce Press (ZS), and Martin Akerman (Envisagenics) for a lively discussion! In case you missed it, you still have a chance to catch Miha in action today. ??"Foundation Models for RNA Biomarkers" ?? 12:45 PM ?? Theatre 3 - AI in Drug Development and Discovery Hope to see you there! #BioTechX The Alliance for Artificial Intelligence in Healthcare (AAIH)

AI-driven dual-target drug discovery - Nice new work from UBonn In Germany. That's sweet news from the land of Haribos!! I would like to see how easy it is to set up such a GenAI model. If anyone in my network knows how to do this without a fuss on Python or R, please reach out to me as I have something I wanna check out. Let me summarize anyhow: ?? Dual-target AI discovery An AI model that predicts compounds that target two proteins simultaneously, helps treatment for complex diseases like cancer. #AIinMedicine #DrugDiscovery ?? Unconventional molecular designs The AI suggests chemical structures beyond typical expectations, sparking innovative hypotheses in drug design. Innovation #Pharmacology ?? Language-based chemical model Modeled after language AI, it identifies molecules with unique dual-target activity from massive datasets. #MachineLearning #Chemistry Check it out here: https://lnkd.in/e9RzeP3u

Would you agree? The spatial biology field is experiencing a surge in spatial transcriptomics innovations, and major European players like Merck Group, AstraZeneca, and Genmab are taking notice. They're investing heavily, expanding their services, and leveraging spatial biology for enhanced #cancerdiagnostics. It's undeniable that strategic partnerships with leading platform providers are increasing. As we gather to answer crucial questions about the future of this space, it's more important than ever for key vendors to lead this transformative wave. Problem-solving with clients and providing confidence in longevity to shape the industry's future. The European biopharma community needs to hear from leading vendors who specialise in #AIpoweredpathology, #imaging, #spatialprofiling, #biomarkerplatforms & #CROs To share your story --> hbit.ly/3UE30F5 #Spatialbiology #CancerDiagnostics #MolecularProfiling #AI #Imaging #BiomarkerPlatforms #CROs #ContractResearchOrganisations

?? Exciting times in #Biotech! The roadmap for innovation is clearer than ever. I just stumbled upon this enlightening graphic from Biotecnika highlighting the top research areas in biotech that are currently in demand. It's a fantastic time to be part of this industry, with sectors like Immunotherapy, Neuroscience, CRISPR, and Drug Discovery making significant strides. The integration of AI & ML in Bioprocess and Bioinformatics is particularly intriguing. It shows how computational power is transforming traditional lab work. Advanced cell & gene therapies are no longer a distant dream but a tangible reality with groundbreaking potential. Aspiring scientists, current researchers, and industry leaders, let's connect and discuss how these fields are evolving and where we see them heading. The future is bright, and collaboration is key! #ResearchInDemand #Biotechnology #Innovation #AIinBiotech #CRISPR #FutureofHealthcare