Data Science and Artificial Intelligence Laboratory (DSAIL)
Overview
DSAIL was set up in 2022 as a game-changing research facility core for the strategic development of research in SGH. In alignment with national goals of data-centric healthcare and digital health, DSAIL's team of data scientists and data analysts support SGH researchers in advanced data pre-processing, modelling using machine learning methods, and developing innovative healthcare solutions using large language models (LLM).
Purpose:
- To unlock value from large databases and registries as a game-changing facility core by leveraging data science and AI for research, reducing time for data discovery and analysis, as well as increasing the accuracy and reliability of resulting models.
Functions:
To enable faster data discovery and improve visibility of available data to clinicians and analysts.
To facilitate development of valid and trustable models by maintaining benchmark data sets.
To oversee data governance with centralised secure data access to reduce duplication of effort, allow shared access, and standardize data definitions, mapping, and management policies.
To offer advanced data pre-processing and analytical capabilities using machine learning methods and AI.