Maja Gójska

  Faculty of Science and Engineering | Bachelor Data Science and Artificial Intelligence

Prediction of Cognitive Decline Trajectories on Multi-Omics Data

Maja's elevator pitch
Cognitive decline in older adults is a growing public health concern, deeply impacting quality of life. Addressing this issue requires precise and individualized treatments due to the diverse progression patterns of cognitive impairment. This thesis focuses on predicting trajectories of cognitive decline using multi-omics data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). By combining proteomics, lipidomics, and metabolomics data, machine learning models demonstrated high accuracy in forecasting outcomes. Additionally, key biomarkers and pathways linked to cognitive impairment were identified. This work contributes to precision medicine, offering earlier detection and customized therapeutic strategies to enhance the quality of life and outcomes for those affected.