The Computational and Statistical Genomics Branch works to develop and apply computationally intensive ways to evaluate large-scale genetic and genomic data, with a special focus on identifying genetic connections to human disease. Several approaches of increasing sophistication have been used to identify the etiology of genetic disorders. The development of new genetic approaches results in the generation of vast volumes of data that must be processed using statistical and computational methods. Innovation in molecular procedures, along with innovation in computer methods, enabled the development of new analytical approaches that could be used to solve even the most difficult problems. Statistical and computational genetics is an interdisciplinary field that is exciting and fast expanding.
Title : The use of anti seizure medication therapeutic blood level determination to personalise the treatment of epileptic seizures especially in patients attending the accident and emergency department
Roy Gary Beran, University of New South Wales, Australia
Title : Personalized and precision medicine (PPM) can be established as a unique healthcare model through biodesign-driven and inspired biotech, translational applications. This approach aims to ensure human healthcare, wellness, and biosafety.
Sergey Suchkov, Institute for Biotech & Global Health of RosBioTech and A.I. Evdokimov MGMSU, Russian Federation
Title : Monitoring folds localization in ultra-thin transition metal dichalcogenides using optical harmonic generation
Ahmed Raza Khan, Australian National University, Australia
Title : A systematic review of regulatory approaches for Direct- To- Consumers (DTC) genetic testing
Kavitha Palaniappan, Duke-NUS Medical School, Singapore
Title : Regulatory framework of in vitro diagnostic and artificial intelligence for precision medicine
Pei Ting Sarah Chou, Regulatory Affairs Professionals Society, Taiwan
Title : Unraveling cancer stem cell signatures in circulating tumor cells of metastatic colorectal cancer: Investigating ALDH1A1 and the repurposing potential of disulfiram via scRNA-seq
Nurul Syakima Ab Mutalib, Universiti Kebangsaan Malaysia, Malaysia