IHI | How to predict who will respond best to different treatments for obesity
Join us online on 26 November at 15:15 to find out how the SOPHIA project unlocked new insights into which patients are more likely to suffer from complications related to obesity, and which patients will respond best to different treatments.
Join us online on 26 November at 15:15 to find out how the SOPHIA project unlocked new insights into which patients are more likely to suffer from complications related to obesity, and which patients will respond best to different treatments.
In 2024, 1 in 7 people in the world were living with obesity. Adult obesity has more than doubled since 1990, and adolescent obesity has quadrupled. This can have severe consequences for individuals – obesity elevates a person’s risk of experiencing health complications like heart disease, diabetes and cancer.
SOPHIA made great strides into developing a better understanding of this field - find out more by joining our webinar.
What you will find out:
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What the project discovered about the response of people with type 2 diabetes to certain GLP-1 drugs
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How SOPHIA successfully defined five phenotypes of people with diabetes based on factors such as their biochemical profile, hypertension, inflammatory markers and more
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An algorithm was developed that can predict which individuals to prioritise for treatments. This model led to 4-15 additional correct interventions and avoids 37-135 unnecessary interventions for every 10,000 individuals tested
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How the project developed a tool that can predict the weight trajectory of people after a type of weight loss surgery called bariatric surgery
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How SOPHIA developed new insights into the relationship between obesity and mental health, showing how one impacts the other in a vicious cycle, and underscoring the importance of including mental health support in obesity care

