BIOVIA’s Post

 🗞️ Check out the latest biotech industry news, from AMSBIO hydrogels supporting patient-derived xenograft studies and OGT NGS panels capable of detecting MRD, to NVIDIA's generative AI platform for biology and chemistry >>> https://lnkd.in/er4QdZpQ

Schrödinger || Introduction to Computational Antibody Engineering Computational molecular modeling tools have proven effective in antibody development and are increasing in use across the antibody discovery industry. The antibody engineers of today will frequently encounter molecular modeling throughout their careers making it critical to have foundational understanding of the relevant tools and methods. https://lnkd.in/eJcxtvPX

❓Did you know that a single human cell contains over 42 million protein molecules? These proteins interact in countless ways, driving billions of potential reactions. 👉At Cytocast, our Digital Twin technology models these complex interactions, simulating over 100 million molecular events across 15 tissue types. To predict how a drug might behave, we conduct thousands of detailed simulations, replicating the intricate biological environments to help researchers understand drug efficacy and potential side effects—well before clinical trials begin. 🔗 Discover how we're leveraging computational biology to revolutionize drug development: https://lnkd.in/dSSQjmN6 #cellbiology #proteindynamics #computationalbiology #drugdiscovery #pharmatech

We’re introducing MolPhenix: a foundation model that predicts a map of the effect of any molecule-concentration pair on phenotypic cell assays and cell morphology. Cell images are powerful tools for unravelling complex biological systems. Unlike traditional assays with single readouts, they capture rich, high-dimensional information about cellular function. With MolPhenix, we use contrastive ML to develop a novel multi-modal approach enabling us to learn a rich representation of how a molecule affects the cell’s morphology. This was powered by the petabytes of phenomics data generated from Recursion's automated labs. We’ll be sharing more about MolPhenix at NeurIPS. In the meantime, explore how MolPhenix is harnessing the power of cell morphology to help push biological research forward through the blog. Blog: https://lnkd.in/eN8jGQPY Paper: https://lnkd.in/epDf7Md3

As morphology data becomes increasingly vital to understanding cellular effects, it is important to be able to harness its full potential. The Attune CytPix flow cytometer combines brightfield imaging with acoustic focusing-driven flow cytometry analysis, transforming the way we visualize and interpret cellular data With brightfield imaging integrated into flow cytometry data, the Attune CytPix offers more precise identification of cell populations, reducing the risk of misinterpretation. It goes beyond expression analysis and adds another dimension to your analysis. This technology provides a deeper understanding of cell characteristics, leading to more reliable insights and capturing even the most subtle details. AI-assisted analysis module For researchers, it's a game-changer in experimental efficiency and confidence in data interpretation, speeding up the journey to new scientific discoveries. https://lnkd.in/dSD6YWbS

EDIT: Missed the chance to attend the webinar live? Get access to the VOD through the registration link below. --- Don’t miss our webinar on Organ-on-a-Chip and 3D bioprinting, featuring Professor Zaozao Chen from Southeast University! We have seen a great amount of interest for the upcoming webinar where Professor Zaozao Chen will present his group’s work on developing advanced biomimetic in vitro organ-on-a-chip models. These models can simulate human biology and can enable significant advancements in drug discovery research. 📅 Date: October 23rd, 2:00 pm CST (China Standard Time), 3:00 pm JST, 11:30 am IST, 8 am CEST 🎤 Speaker: Professor Zaozao Chen, Southeast University Register here: https://lnkd.in/dBMRzwsE #Bioprinting #TissueEngineering #OrganOnAChip #DrugDiscovery #CancerResearch #AlternativeToAnimalTesting

Meet #Tensor High Throughput Single Cell Library Processing System💡, the first fully automated instrument for single cell sequencing library preparation, from cell suspension to sequencing-ready library. Our team developed #Tensor to address the increased needs for throughput and automation in the field. It enables the preparation of up to 32 single cell sequencing libraries of up to 3 million cells in a single run, reducing hands-on time by 90% and completing the process in a single workday We will present the concept of Tensor at the Festival of Genomics in London. Join us for the live event at 4:00 PM on January 29 at booth #187. 🔹 Discover more about Tensor here: https://lnkd.in/ebiQPh7h

How do sea anemones regenerate? Researchers in Drs. Oliver Stegle and Aissam Ikmi's labs at EMBL used spatial #transcriptomics, endogenous protein tagging, and live imaging to investigate. 🔬 Paper: bit.ly/41Fz67h Episode: https://bit.ly/3CZ9zLM

#Nanoparticles have a range of uses in biomedical research but analyzing them and getting accurate results is a complex process. With funding from #NCATSsbir, scientists at Spectradyne were able to build the ARC™ particle analyzer that can quickly and efficiently identify, quantify and characterize nanoparticles to ensure accuracy and purity. https://go.nih.gov/oiorQ6X