Case Study
UNLOCKING HIDDEN SIGNS OF MENTAL ILLNESS
Taylor’s University in Malaysia uses AI and machine learning to transform mental health research by identifying micro facial expressions to analyze emotions. With HPE ProLiant servers, NVIDIA GPUs, and Glueck sentiment software, the solution provides real-time insights to improve diagnosis and treatment. The initiative supports socio-behavioral studies tailored to Malaysia’s cultural context and empowers researchers and counselors to better understand patient behaviors. This scalable infrastructure powers other lab tools like eye trackers and brain scanners, driving innovation in mental health care and education.
