On 10 and 11 November 2025, a two-day engagement was held between the SenusaBio team and the Faculty of Medicine, Public Health, and Nursing (FK-KMK) at Universitas Gadjah Mada (UGM) in Yogyakarta, attended by researchers and academics from research centers focusing on genomics and precision medicine.
The event aimed to introduce and demonstrate the SenusaBio platform—Indonesia’s first and only locally developed automated genomic interpretation software designed to support genomic data analysis and interpretation using artificial intelligence (AI).
The agenda consisted of two main sessions:
Introduction to the SenusaBio Platform – an overview of the platform’s features, capabilities, and potential applications in supporting genomic research and diagnostics within academic and healthcare institutions at UGM.
Hands-on Session with SenusaBio – an interactive session where participants directly tested the analysis workflow, including real testing using VCF samples provided by UGM. Participants explored the annotation and variant interpretation process, including the use of integrated international databases such as ClinVar and Ensembl.
Throughout the session, participants shared positive feedback.
Dr. Ajeng, Surgical Oncology Research Assistant at Universitas Gadjah Mada, highlighted that SenusaBio’s integrated workflow “significantly streamlines the variant interpretation process and helps researchers understand clinical significance in a clearer and more systematic way.”
Meanwhile, Dr. Alvin, Genetics Working Group (Pokja Genetik) of FK-KMK Universitas Gadjah Mada, emphasized the platform’s user interface and user experience, noting that “SenusaBio’s interface feels modern, clean, and easy to navigate, enabling genomic data analysis to be performed efficiently without overwhelming users with technical complexity.”
The two-day program was productive and interactive, featuring constructive discussions on opportunities for research collaboration and tailored feature development to support precision medicine, cancer research, and genetic disease studies at UGM.
Through this engagement, it is expected that a strategic collaboration between SenusaBio and UGM will strengthen Indonesia’s bioinformatics and genomics ecosystem through locally driven innovation.
Picture by: SR
