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 ...
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 ...
Abstract: In recent years, the growing demand for secure, efficient, and scalable machine learning has highlighted significant challenges in traditional Federated Learning (FL) systems. These ...
Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
NEW YORK, NY / ACCESS Newswire / December 11, 2025 / The market keeps trying to put SMX (NASDAQ:SMX) in a box. Plastics. Metals. Electronics. Rubber. Fashion. Every time a new industrial win lands, ...
Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...
Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...
Economic variables also play a central role. Rising GDP per capita increases healthcare utilization rates as households are ...
India faces a healthcare access crisis, particularly in rural areas where there's an 80% shortfall of specialist doctors. AI ...
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