A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Abstract: The rise of smart cities has leveraged the power of Internet of Things devices to transform urban services. A key element of this transformation is the widespread deployment of IoT devices ...

Abstract: Federated learning is a distributed machine-learning technique that allows multiple clients to collaboratively train a model without sharing their local raw data. In existing federated ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...