This project focuses on the use of grid cell, place cell and path integration strategies with artificial intelligence for designing the navigation system for blind people.
Antimicrobial resistance is one of the key reasons for human sufferings in modern hospitals. We focused on seven most important antimicrobial resistance machine learning projects. Antibiotic resistance genes detection, microbial community classification, molecular basis for bacterial resistance, multi-drug resistance behavior of bacteria, bacterial behavior with phages, MRSA Strains for Hospital-Acquired Infections, and machine learning for culture-free bacterial identification are among them.