• Nonlinear Waveform Inversion for Quantitative Ultrasound (No. T4-2254)

    Conventional ultrasound brightness-mode images do not provide sufficient contrast for certain anatomical structures and have a poor physical interpretation. This can highly affect the medical diagnosis reliability. ... Read more
    Full Professor Yonina Eldar

    Yonina Eldar

    Faculty of Mathematics and Computer Science

  • Reusable Gold Nanostars Substrates for Signal Amplification for Diagnostics (No. T4-2127)

    Numerous spectroscopic techniques utilize signal enhancement from surfaces of nanoparticles linked to analyte molecules. However, existing surface-enhanced spectroscopies (SES) are based on solution-based nanoparticles dispersion and are unsuitable for solid substrates. Dr. ... Read more
    Prof Ulyana Shimanovich

    Ulyana Shimanovich

    Faculty of Chemistry

  • Cell-free microRNA as a Prognostic Biomarker for Amyotrophic Lateral Sclerosis (ALS) (No. T4-2038)

    Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disorder of the human motor neuron system, for which no effective treatment exists. ... Read more
    Associate Professor Eran Hornstein

    Eran Hornstein

    Faculty of Biochemistry

  • Frontotemporal Dementia Diagnosis Using Circulating microRNA Biomarkers (No. T4-2037)

    Frontotemporal dementia (FTD) is a heterogeneous neurodegenerative disorder characterized by frontal and temporal lobe atrophy, typically manifesting with behavioral or language impairment. ... Read more
    Associate Professor Eran Hornstein

    Eran Hornstein

    Faculty of Biochemistry

  • 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

  • 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

    Full Professor Eran Segal

    Eran Segal

    Faculty of Mathematics and Computer Science

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