Diagnostics(15)

  • A high-throughput method for detecting allergens and viral infections (No. T4-1946)

    Allergies affect a large portion of the population, affecting life quality and can impose life-threatening conditions in some cases. The diagnosis of allergies is currently limited by expensive low throughput methods, presenting a need for high‑throughput methods for allergen detection. ... Read more
    Full Professor Eran Segal

    Eran Segal

    Faculty of Mathematics and Computer Science

    6187
  • Predicting Blood Metabolites (No. T4-1941)

    The serum metabolome contains a plethora of biomarkers and causative agents of various diseases. They are known to be modulated by various genetic and environmental factors such as the gut microbiome, nutrition, and lifestyle. ... Read more
    Full Professor Eran Segal

    Eran Segal

    Faculty of Mathematics and Computer Science

    6220
  • Person-specific Assessment of Probiotics Responsiveness (No. T4-1895)

    Probiotics are a widely consumed dietary supplement, however, their efficacy is controversial and not all individuals benefit from their use. Therefore, a predictive tool that distinguishes between probiotic-permissive and resistant individuals is needed. ... Read more
    Full Professor Eran Segal

    Eran Segal

    Faculty of Mathematics and Computer Science

    5734
  • Person-specific Assessment of Probiotics Responsiveness (No. T4-1895)

    Probiotics are a widely consumed dietary supplement, however, their efficacy is controversial and not all individuals benefit from their use. Therefore, a predictive tool that distinguishes between probiotic-permissive and resistant individuals is needed. ... Read more
    Associate Professor Eran Elinav

    Eran Elinav

    Faculty of Biology

    5734
  • A method to identify actively degraded proteins (No. T4-1832)

    This technology provides a method to identify the full landscape of proteins that are actively being degraded by the proteasome, offering a way to identify novel targets in various biological conditions and contexts. ... Read more
    Senior Scientist Yifat Merbl

    Yifat Merbl

    Faculty of Biology

    6030
  • Method for Microbiome-Based Prediction, Diagnosis, and Treatment of Relapsing Obesity (No. T4-1805)

    A novel method for analyzing the likelihood of weight regain following a weight loss program and maintaining target body weight, based on gut microbiome analysis. ... Read more
    Full Professor Eran Segal

    Eran Segal

    Faculty of Mathematics and Computer Science

    5659
  • Method for Microbiome-Based Prediction, Diagnosis, and Treatment of Relapsing Obesity (No. T4-1805)

    A novel method for analyzing the likelihood of weight regain following a weight loss program and maintaining target body weight, based on gut microbiome analysis. ... Read more
    Associate Professor Eran Elinav

    Eran Elinav

    Faculty of Biology

    5659

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