Webinars

mavatar discovery the most exciting 30 min in biomedical research mavatar discovery is a next generation saas platform designed for researchers, pharmaceutical companies, and academia to accelerate disease and drug research it enables deeper, faster, and smarter insights through advanced, data driven exploration of publicly available transcriptomic data no code no pipelines just discovery watch this webinar if you’ve ever thought “our datasets are scattered and hard to compare ” “we spend months processing before we can start analyzing ” “i need pilot data for my next grant ” join camila guerrero, phd translational medical research in bioinformatics, for a 30 minute live demo of mavatar discovery — an ai and data driven platform that helps researchers move from raw transcriptomic data to functional insight without coding or custom pipelines in this short session, you’ll see how to build co expression networks and compare disease mechanisms in minutes identify biomarkers and generate pilot data using public, peer reviewed datasets strengthen grant proposals with data driven hypotheses rare disease research webinar | network based transcriptomics for limited data rare disease research is challenging not because the questions lack importance, but because the data is scarce, fragmented, and difficult to interpret if you’ve ever thought “our cohorts are too small to reach confident conclusions ” “known pathways don’t fully explain what we’re seeing ” “we need biologically grounded hypotheses to move our project forward ” this session is for you in this 30 minute research focused webinar, camila guerrero, phd (translational bioinformatics), demonstrates how network based transcriptomics can uncover meaningful disease biology — even when patient data is limited what you’ll learn in this session, you’ll see how mavatar discovery, an ai and data driven research platform, helps rare disease researchers extract biological insight from small or complex transcriptomic datasets identify disease driving gene networks beyond single gene analysis generate testable hypotheses using large scale, peer reviewed public datasets move faster from data to insight without building custom bioinformatics pipelines the session is practical, scientifically grounded, and designed for researchers in rare disease biology, translational medicine, and drug discovery