About
Previous studies suggested that changes in behaviors including dietary pattern, smoking, alcohol drinking, and physical activity may interact with genomics, physiology and environment during the metabolism process, which could contribute to non-communicable diseases (NCDs). For now, the following two questions still need data and evidence from high-quality cohorts to further clarify: (1) How do a myriad of behavioral factors, including lifestyles, dietary patterns, physical activity, emotional well-being, and sleep patterns, collaboratively influence the occurrence and progression of NCDs, particularly cancers, metabolic disorders, and mental health conditions? (2) To what degree do environmental factors contribute to the interplay between behaviors and genetic predispositions, impacting the onset and severity of diseases? Therefore, we aim to study the associations dietary pattern, lifestyle behaviors, mental well-being and the progression of NCDs with the use of the web-based questionnaires and health-related records from UK Biobank. Besides, we aim to assess the causal effect of genetic risk factors in the lifestyle-NCD association and develop a quantitative measurement of the genetic risk based on the combination of multiple SNPs with the use of metabolomics data and genome sequencing data. Multimodal medical prediction covers various data types, including medical imaging, pathological images, omics data, and clinical text data. In the fusion model of multimodal medical data, pre-training and feature extraction are conducted on different modal data, followed by model fine-tuning and generalization tailored to various downstream tasks and specific diseases. This multimodal prediction aims to extract interactive patterns among modalities from complex data, providing personalized medical diagnoses, prognosis predictions, early screening, and treatment plans for patients. The research that we are proposing is going to last for 36 months. The anticipated achievements of this research include the theoretical evidence of the potential interplay among lifestyle behaviors, environment factors and genetic predispositions in NCDS, guidance for prediction, early detection and prevention of NCDs, and personalized behavioral interventions or treatment plans for individuals.