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Results for technologies (7)

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Diagnostics

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

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6961
Diagnostics

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

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5998
Diagnostics

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

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6187
Mathematics and Computer Science
Medical Devices

Artificial Pancreas (No. T4-1942)

The alarmingly sharp increase in type 1 diabetes mellitus incidence in recent years has been coupled with a marked rise in the development of closed-loop systems aimed at continuously monitoring blood glucose levels, predicting glucose behavior and delivering adjusted insulin doses. ... Read more
Full Professor Eran Segal

Eran Segal

Faculty of Mathematics and Computer Science

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5752
Pharmaceuticals
Diagnostics

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. The blood contains many small molecules called the ser... Read more
Full Professor Eran Segal

Eran Segal

Faculty of Mathematics and Computer Science

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6220
Diagnostics
Pharmaceuticals

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. Probiotics are the third ... 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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5734
Diagnostics
Pharmaceuticals

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. The past century has seen an overwhelming increase in the prevalence of overweight and obese individuals, effecting o... 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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5659

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