Teiko is here at #SITC2024 booth # 441. Come chat with us to learn more about our high-dimensional cytometry services for your next clinical trial!
Teiko.bio
Biotechnology
Salt Lake City, UT 1,350 followers
We make high-dimensional cytometry simple for clinical trials.
About us
Teiko.bio equips scientific and clinical teams with actionable intelligence at a cellular level. Pairing cutting-edge mass cytometry with a high-dimensional machine learning model, teiko.bio unlocks more information about individual immune characteristics to drive clinical insights.
- Website
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http://teiko.bio
External link for Teiko.bio
- Industry
- Biotechnology
- Company size
- 2-10 employees
- Headquarters
- Salt Lake City, UT
- Type
- Privately Held
Locations
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Primary
Salt Lake City, UT, US
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San Francisco, US
Employees at Teiko.bio
Updates
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Teiko is headed to Booth # 441 at SITC later this week; come check us out! At Teiko Bio, we profile 245–800+ immune populations per sample with high-dimensional cytometry, offering a 16x greater chance of identifying biomarkers linked to toxicity and early efficacy. We’ve helped over 25 clients, including multiple multi-billion-dollar immunotherapy developers, uncover these critical insights for their clinical trials. Our high-dimensional cytometry service and CLIA-validated panels help uncover critical immune cell features linked to clinical safety and response. Visit us at SITC to learn more! #SITC2024 #Immunotherapy #Oncology #Cytometry
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Looking for some posters to check out at SITC this weekend? Teiko’s got you covered. Poster # 57: Friday, November 9th, 12:15-1:45 + 5:30-7:00 PM Kristina’s poster highlights our work to optimize the TokuKit - our fixed whole blood collection kit - with our 25+ marker spectral flow cytometry panel. Our results show a strong correlation in cell population (r = 0.97) and functional marker subset (r = 0.91) frequencies between fixed and live samples. Qualitatively, we demonstrate comparable gated dot plots, with less than 1% positive cells present in fluorescence minimum many (FMM) controls. Poster # 58: Saturday, November 10th, 12:15-1:45 + 7:00-8:30 PM Justin’s poster covers our development and validation of the TokuKit. TokuKit stabilizes whole blood for up to 24 months when stored at -80°C, compared to three days with live blood. The poster features results from our intra- and inter-run precision tests for a 41-marker mass cytometry pan-immune panel, along with performance comparisons between TokuKit-fixed and live blood samples, supporting its use in clinical trials. Come visit us at the poster sessions to learn more! #SITC2024 #Immunotherapy #Oncology #Cytometry
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Subscribe to our Youtube channel, linked below, to watch Ramji Srinivasan’s video on Statistics in Cytometry when it premieres this Friday at 8:30 AM PT. We’ll give you a gentle introduction to: - Two-group vs. Multi-group Comparisons - Paired vs. Unpaired tests - Parametric vs. Non-Parametric tests After breaking these down, we’ll walk you through how to choose a type of statistical test given the characteristics of your data. We’ll also explain what makes a result statistically significant and how to filter through high-dimensional cytometry data to uncover these results. See you there! https://lnkd.in/e9TAWECg
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Feel this way about statistics in Cytometry? Subscribe to our YouTube channel so you can learn about how to use statistics on your Cytometry datasets: https://lnkd.in/gajavjyV
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New webinar just dropped! Watch Lee Leavitt give a rundown on utilizing unsupervised clustering to find unique cell types that conventional gating might miss. https://lnkd.in/enbGghNN
Want to learn more about applications of unsupervised clustering for high-dimensional cytometry? This Friday’s webinar will explore the challenges of navigating complex, high-dimensional cytometry data and discover how unsupervised clustering techniques like FastPG offer a powerful solution. The session will highlight real-world examples of unique cell types identified using clustering. We will dive into the role of UMAP for data visualization and review best practices for identifying and naming clusters in immunophenotyping experiments. Our talk will be ideal for researchers looking to enhance data analysis in multi-marker studies. Join us this Friday, October 25th at 8:30 AM PT to learn more. Register Here: https://lnkd.in/dsAhzdbg
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📣 Meet Teiko at Biomarkers US 2024! 📣 At Teiko Bio, we analyze 245–800+ immune populations per sample using cytometry. This approach increases the chance of identifying biomarkers linked to toxicity and early efficacy by 16X. We’ve helped over 25 clients, including two multi-billion-dollar immunotherapy developers, uncover these key insights for their Phase I and II trials. Our CEO, Ramji Srinivasan, and VP of Business Development, Justin Jarrell, PhD, will be attending. Find them at the exhibit hall during one of the breaks if you want to learn more! Also, don’t miss Justin Jarrell as he chairs the Day One, Track One session: “Biomarkers & Multi-Omics for Precision Oncology + Immunology.” This series of talks is a must-attend for anyone interested in new assays to discover biomarkers of response to immunotherapy. Let’s connect at #BiomarkersUS24 - we'd love to explore how Teiko can support your next biomarker breakthrough! #OGBiomarkers #OGimmuno #ImmunoUS24 #Cytometry #ImmuneProfiling
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Want to learn more about applications of unsupervised clustering for high-dimensional cytometry? This Friday’s webinar will explore the challenges of navigating complex, high-dimensional cytometry data and discover how unsupervised clustering techniques like FastPG offer a powerful solution. The session will highlight real-world examples of unique cell types identified using clustering. We will dive into the role of UMAP for data visualization and review best practices for identifying and naming clusters in immunophenotyping experiments. Our talk will be ideal for researchers looking to enhance data analysis in multi-marker studies. Join us this Friday, October 25th at 8:30 AM PT to learn more. Register Here: https://lnkd.in/dsAhzdbg
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Missed our webinar on PCA? Take a look at our recording, linked below! https://lnkd.in/e6DFABN9
Concerned about how using high-dimensional cytometry can make it difficult to draw conclusions from your data? This Friday’s webinar will give a rundown on using Principal Component Analysis (PCA), a data analysis feature on our web app. PCA cuts through complexity by pinpointing key contributors to data variation. Whether separating by dose or response, you can visualize the largest sources of variance amongst cell types at a glance. Join us this Friday, October 18th, at 8:30 AM PT to learn more!
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