Latest AI and machine learning research in public health & policy for healthcare professionals.
Recent research in drug discovery dealing with many faces difficulties, including development of new...
Writing notes is the most widespread method to report clinical events. Therefore, most of the inform...
The triple crises of the COVID-19 pandemic, conflict and climate change have severely impacted food ...
Maternal depression (MD) was one of the most prevalent psychiatric problems worldwide. However, it e...
BACKGROUND: Neuraxial anesthesia (NA) has been hypothesized to decrease postoperative complications ...
Inborn errors of immunity represent a rapidly expanding group of genetic disorders of the immune sys...
Trypanosomiasis is a significant public health problem in several regions across the world, includin...
Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of healthcare. ...
This study describes the development of a simple, disposable, and eco-friendly electrochemical immun...
Catheter-related biofilm infection remains the main problem for millions of people annually, affecti...
Routinely collected electronic health records (EHRs) data contain a vast amount of valuable informat...
COVID-19 has resulted in significant morbidity and mortality globally. We develop a model that uses ...
Prehabilitation programs play a key role in optimizing patient experiences and outcomes after surger...
PURPOSE OF REVIEW: This review highlights recently published studies on osteoarthritis (OA) epidemio...
BACKGROUND: Understanding lung deposition dose of black carbon is critical to fully reconcile epidem...
The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which was first reporte...
BACKGROUND: Influenza outbreaks pose a significant threat to global public health. Traditional surve...
Sooty mold is a common disease found in citrus plants and is characterized by black fungi growth on ...
Although most pregnancies result in a good outcome, complications are not uncommon and can be associ...
The aim of the SYRIACA project was to test the capability of a social robot to perform specific task...
Early monitoring and warning arrangements are effective ways to distinguish infectious agents and co...