Research Areas
overview
In an aging society, oncological and cardiological diseases are the primary areas that significantly burden society. Cancer, being one of the leading causes of morbidity and mortality worldwide, demands a multidisciplinary approach involving medical, surgical, and radiation oncologists for effective strategies. Early detection through advanced diagnostic tools and integrating multi-omic approaches
and artificial intelligence applications are pivotal for personalized treatment plans. Similarly, cardiac diseases like coronary artery disease (CAD) and heart failure significantly impact global health, emphasizing the importance of cardiovascular health recognition and early detection through advanced diagnostic tools and multi-omic integration for tailored interventions.
Research Areas
Pre-clinical models
Pre-clinical models like cell cultures, organ-on-chip systems, and organoids are vital for studying disease mechanisms and testing therapies before clinical trials, aiding in discovering new treatments and understanding disease progression.
Research Areas
Multiomics
Multiomics integrates various biological data sets, studying genomics, transcriptomics, proteomics, metabolomics, and epigenomics. It offers a comprehensive view of biological systems, revealing intricate interactions and informing precise diagnostic and therapeutic strategies.
Research Areas
Bioimaginng
Bioimaging revolutionizes visualization of biology, from microscopy to transcriptomics, uncovering cellular interactions and gene expression. It advances precision medicine by revealing spatial dynamics in health and disease, at the intersection of biology, imaging, and data science.
Research Areas
Artificial Intelligence
Artificial Intelligence (AI) has revolutionized clinical practice and multiomic data analysis, offering transformative capabilities in healthcare. In clinical settings, AI applications, such as machine learning algorithms, analyze vast datasets to aid in diagnostics, treatment planning, and patient care. These technologies enhance disease detection, risk prediction, and treatment optimization accuracy and efficiency.
