Are you attending the #ASGCT2024 Annual Meeting in Baltimore next week? Make sure to stop by booth #1957 to meet our team and learn about AVIA, our groundbreaking AI-based viral infectivity assay. We'll be showcasing how AVIA can streamline your viral titer quantification process, eliminating the need for laborious #plaqueassays and #TCID50s. Don't miss this opportunity to add a great AI solution to streamline your lab workflows!
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AI, can now edit human DNA Profluent recently unveiled OpenCRISPR-1 It's opensource, and allows you to edit genes What's so special? The easier accessibility to read and write proteins from scratch, means anyone can generate a new protein, and potentially create personalized approaches to disease treatment and prevention. #geneediting #technologyforgood
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Empowering Pandemic Preparedness with Generative AI! Generative AI models are reshaping pandemic preparedness by simulating infectious disease spread, offering insights for targeted preventive measures. - Simulation Insights: Generative AI dives into vast datasets, identifying virus escalation factors. Vital for crafting targeted preventive measures by policymakers and healthcare organizations. - Protein Sequences: Generative AI trains on vast protein sequences, analyzing deeply to generate new antibodies. Accelerates targeted treatment development, strengthening defenses against future pandemics. By leveraging these cutting-edge techniques, healthcare professionals can make informed decisions, shape optimal treatment strategies, and ultimately enhance patient outcomes. Contact Xorbix to know more: https://bit.ly/3H80LC2 #GenerativeAI #AIinHealthcare #PandemicPreparedness #Xorbix
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Genomics is poised to revolutionize how we view cures, potentially detecting diseases before they even happen. Dr. David Rhew, M.D., one of the esteemed members of the #M42 Advisory Board, explores how AI and genetic blueprints can work hand-in-hand to tackle one of healthcare’s biggest challenges. Witness more insights from our Advisory Board as together with M42 they pave the way for a healthier future by visiting our Talks page: https://bit.ly/3zOkDtt
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Using experimental data to improve performance of generative AI models can be a powerful way to improve protein fitness over rounds of design. This is why we now support fine-tuning our AI models using assay data such as but not limited to thermostability, enzyme activity, and antibody binding affinity. Get in touch to learn more on how our software recommends point mutations for property optimization based on experimental results!
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Some time ago, my best friend, Liz Lesemann, passed away due to the horrible disease #ALS. I must confess that I haven't cried this much at a conference. Today, I was honored to witness a technological advance that helped those affected by this disease. Today, I saw this fantastic technology that Luís from Unbabel Labs and Sumner L Norman. Norman, Co-founder and CEO of Forest Neurotech, and Vasco Pedro, Co-founder and Chief Executive of Unbabel Labs, demonstrated how Unbabel Halo can facilitate real-time conversations for ALS patients. Combining #GenerativeAI with a non-invasive neural interface allows Unbabel Halo to transform bio-signals into language, allowing ALS patients to reconnect with their loved ones!
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Quantitative and functional imaging like FLUIDDA's #FRI will not only accelerate and de-risk clinical trials but will also enhance our understanding of lung diseases. This deeper insight will drive the development of more accurate in-silico disease models, ultimately leading to more effective drug development. The significant role of mucus and mucus plugs in severe asthma has become evident through landmark trials, such as Sanofi/Regeneron's #VESTIGE trial, which utilized our algorithms, as outlined in the poster below. #imaging #asthma #copd #insilico #drugdevelopment
📆 With #ERS2024 concluded, we’re excited to share the posters utilizing Fluidda’s FRI technology. First up is our poster "Automated detection of mucus plugs in CT imaging using a deep learning model." This study evaluates a DL model trained to segment mucus plugs from chest CTs, showing a strong correlation with manual segmentation for both count and volume. The results suggest that automated detection is viable and may help establish mucus plugs as a biomarker for disease severity or therapy response. 👏 Congratulations to Stijn Bonte, Eline Lauwers, Patrick Muchmore, Rita J., Ana Cortes, Ben L. and Wilfried De Backer for their outstanding work! #FRI #MucusPlugs #DeepLearning
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Lung screening then and now: Explore the fascinating history of how medical imaging technology has changed early lung disease diagnosis. https://lnkd.in/emBm3Dcv #TeamHealthineers
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Lung screening then and now: Explore the fascinating history of how medical imaging technology has changed early lung disease diagnosis. https://lnkd.in/emBm3Dcv #TeamHealthineers
Lung screening then and now
medmuseum.siemens-healthineers.com
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AI Uses Bioacoustics to Diagnose That Nasty Cough! Discover the future of healthcare with AI Bioacoustics. Learn how AI analyzes sounds like coughs and cries for early disease detection, revolutionizing medical diagnostics. https://lnkd.in/ec9BfVkq
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The Undiagnosed Hackathon event, coordinated by Undiagnosed Diseases Network (UDN), the Wilhelm Foundation and the Radboudumc with sponsorship from the Chan Zuckerberg Initiative and others, was a truly life-changing event, involving clinicians, genomic lab directors, researchers and industry professionals who teamed up to try to solve 41 undiagnosed rare disease cases from across the world. At the end of 48 hours, the teams solved ~24% (10/41) of the cases and had promising leads in another 22% (9/41) of cases. We were thrilled that optical genome mapping (#OGM) was included as one of the analysis methods used to crack these previously unsolved medical mysteries. What a powerful example of how scientific collaboration can move rare disease research forward! #UndiagnosedHackathon2024 #raredisease #rarediseaseresearch
We’re so thankful for the 120+ people from around the world who attended the Undiagnosed Hackathon. These experts, patients and patient advocates spent the weekend diving into de-identified patient data like medical records, genomic data and more. Using analytical methods, AI, and innovation, they worked tirelessly to crack previously unsolved medical mysteries. 10 cases (and counting) were successfully diagnosed in 48 hours. 350 million people live with an undiagnosed disease worldwide. That’s why our partner, Wilhelm Foundation, launched the Undiagnosed Hackathon, to find new ways and build collaborations to solve undiagnosed rare diseases through accelerated patient-centered problem-solving. These teams are not just solving undiagnosed challenges; they are addressing real-world problems faced by individuals with undiagnosed conditions. #UndiagnosedHackathon2024 #RareDisease #RareAsOne #research
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