A5083445218- EEG and Brain-Computer Interfaces
- HIV Research and Treatment
- Brain Tumor Detection and Classification
- Anomaly Detection Techniques and Applications
- Influenza Virus Research Studies
- ECG Monitoring and Analysis
- Blood groups and transfusion
- Immune responses and vaccinations
- COVID-19 diagnosis using AI
National Research Council Canada
2022-2025
The human immune system is intrinsically variable and remarkably diverse across a population. response to antigens driven by complex interplay of time-dependent interdependencies components the system. After repeated vaccination, humoral cellular arms display highly heterogeneous dynamics, further complicating attribution phenotypic outcome specific components. We employ random forest (RF) approach classify informative differences in immunogenicity between older people living with HIV (PLWH)...
Abstract Data analysis is widely used to generate new insights into human disease mechanisms and provide better treatment methods. In this work, we the mechanistic models of viral infection synthetic data influenza COVID-19 patients. We then developed validated a supervised machine learning model that can distinguish between two infections. Influenza are contagious respiratory illnesses caused by different pathogenic viruses but appeared with similar initial presentations. While having same...
Pathology diagnosis based on EEG signals and decoding brain activity holds immense importance in understanding neurological disorders. With the advancement of artificial intelligence methods machine learning techniques, potential for accurate data-driven diagnoses effective treatments has grown significantly. However, applying algorithms to real-world datasets presents diverse challenges at multiple levels. The scarcity labelled data, especially low regime scenarios with limited availability...