Approved Research

Integration of multi-omics and Phenomics to understand disease diagnosis and progression in men and women

Lay summary

Our research aims to create a better understanding of how diseases and health conditions affect women differently from men. We want to combine various types of information, like medical records, genetic data, and even lifestyle factors, to develop models that can predict a person's risk for certain diseases. These models will help doctors identify different groups of patients and understand the unique factors that contribute to their health. By doing this, we hope to improve the accuracy of diagnoses and treatment plans for women, ultimately leading to better health outcomes. We are collecting pieces of information from different sources to create a clearer picture of women's health. We believe that by studying all these pieces together, we can better understand why some diseases are more common or more severe in women. This research will take several years to complete, as we need to gather and analyze a lot of data from many different people.

The impact of this project could be quite significant. By learning more about the specific ways diseases affect women, we can develop personalized approaches to healthcare. This means doctors could tailor their advice and treatments based on a person's individual risks and needs. This could lead to earlier detection and more effective management of diseases. Ultimately, our goal is to improve the health and well-being of women, and by extension, contribute to better public health overall.