Computation has become a cornerstone of nearly all scientific disciplines, notably in biology and medicine. In light of the extensive data available, computation transcends its traditional role as a mere tool for data processing; it has emerged as an indispensable instrument for uncovering and articulating the scientific narratives embedded within the data. The crux of employing computation to propel scientific discovery lies in the effective translation of applied problems into computationally solvable frameworks, which represents a primary challenge within the field of computational systems biology. In this talk, I will present insights derived from two lines of ongoing research at the HK JC STEM Laboratory of Genomics & AI in Healthcare at PolyU. Firstly, I will discuss the identification of polygenic markers linked to complex diseases, particularly psychiatric disorders, including depression and schizophrenia. This research constitutes a critical aspect of the recently funded theme-based Strategic Target Grant (STG) project, which aims to develop innovative artificial intelligence and genomic technologies to improve mental healthcare services for major psychiatric disorders. Secondly, I will examine the discovery of novel classes of circular RNA and its clinical implications for cancer diagnosis and treatment. The principal takeaway from this discussion highlights the growing integration of computational methodologies, including the latest advancements in AI techniques, at the forefront of scientific research-a trend that warrants our utmost attention.
