• Diagnosis and prognosis of inflammatory bowel diseases using host RNA sequencing of fecal samples (No. T4-2175)

    Inflammatory bowel disease (IBD) patients suffer from chronic inflammation of the gastrointestinal (GI) tract. The disease course varies, and patients often experience relapses and remission, despite the availability of several medications types. ... Read more
    Prof Shalev Itzkovitz

    Shalev Itzkovitz

    Faculty of Biology

  • 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

  • WISER – A Holistic Analysis Of Large Scale Electronics Health Records (No. T4-2113)

    In the current era of big-data medicine, the Electronic Health Records (EHR) analysis is limited due to its disease-oriented approach. ... Read more
    Full Professor Amos Tanay

    Amos Tanay

    Faculty of Mathematics and Computer Science

  • Search Engine for New Anti-Cancer Targets (No. T4-2090)

    Many newly developed anti-cancer treatments rely on identifying cancer unique signatures that can be used to harness the immune system against the tumor. ... Read more
    Senior Scientist Yifat Merbl

    Yifat Merbl

    Faculty of Biology

  • Predicting Childhood Obesity (No. T4-2076)

    Childhood obesity is a global health crisis, which holds extended complex health and psychological problems. Although an early diagnosis of children at risk for obesity could allow intervention and prevention, healthcare professionals have little guidance to identify individuals at risk. ... Read more
    Full Professor Eran Segal

    Eran Segal

    Faculty of Mathematics and Computer Science

  • Single-Cell Analysis to Enhance Multiple Myeloma Prognostics (No. T4-2075)

    Multiple myeloma (MM) is an incurable malignancy, and despite novel anti-myeloma drugs that increased survival, up to 30% of patients develop primary resistance, and many patients experience early relapse. ... Read more
    Associate Professor Ido Amit

    Ido Amit

    Faculty of Biology

  • Predicting Gestational Diabetes Mellitus (No. T4-1962)

    diabetes mellitus (GDM) is one of the most common complications of pregnancy, increasing the risk for short and long-term adverse events for both mother and offspring. Early intervention can reduce future complications, however, GDM is currently diagnosed only at late pregnancy stages. ... Read more
    Full Professor Eran Segal

    Eran Segal

    Faculty of Mathematics and Computer Science

  • Cell Surface Modification with Synthetic Receptors (No. T4-1961)

    Technologies that target cells or modify their behavior are of great interest to improve diagnostic, therapeutic, and imaging platforms. ... Read more
    Associate Professor David MARGULIES

    David Margulies

    Faculty of Chemistry

  • A Marker for Consciousness State Following Brain Injury (No. T4-1959)

    Improvements in emergency medicine have increased survival rates after brain injury but, paradoxically, have resulted in an increasing number of survivors living with disorders of consciousness. ... Read more
    Prof NOAM Sobel

    NOAM Sobel

    Faculty of Biology

  • Small Molecules for Treatment of Huntington's Disease and Related Disorders (No. T4-1947)

    Trinucleotide repeats expansion disorders (TREDs) are a set of diseases in which repetitions of short DNA segments (three nucleotides) occur and accumulate in the genome. ... Read more
    Full Professor Rivka Dikstein

    Rivka Dikstein

    Faculty of Biochemistry



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