Transforming Global health with AI (TOGAI) aims to identify and solve difficult but important problems in global health where Artificial Intelligence (AI) can play an important role. We work on I) pushing the frontiers of AI with theoretical research relevant to health care ii) studying the
B Bhattarai MultiModal Learning Lab (MMLL) is a research group within NAAMII that focuses on theoretical and applied research in Machine learning (ML) where the researches process information from heterogeneous sources such as vision, text, and speech to make computers
Computational Endoscopy, Surgery & Pathology Group (CESP) is another autonomous research group within NAAMII led by Dr. Sharib Ali that focuses on endoscopic computer vision, surgical data science, computational pathology, conducting high throughput imaging and other medical
The Computational Genomics Lab (CGL) aims to solve complex problems in biological sciences using computational techniques. This research group combines genomics and bioinformatics to develop efficient computational algorithms including machine learning methods.
Research using Artificial Intelligence in Neuroscience (RAIN) is another autonomous research group within NAAMII that focuses on AI & Neuroscience. The research group focuses on different neurological conditions that causes disorders in the human body.
As the applications of AI are increasing rapidly across all sections of society, we need to actively work to better equip us with tools that allow us to better understand the potential negative impacts it can have. Bias and exclusion are important problems that need to be carefully studied in any
