Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND: Hyponatraemia is easily corrected by treatment with an oral vasopressin antagonist, but ...
Zika virus, which has been linked to severe congenital abnormalities, is exacerbating global public ...
OBJECTIVE: There is a growing interest in using natural language processing (NLP) for healthcare-ass...
Hepatitis C virus (HCV) infection is a global public health problem. The implementation of public he...
Tuberculosis (TB) remains a significant public health challenge, motivated by the diversity of healt...
Emerging pathogens are a major threat to public health, however understanding how pathogens adapt to...
Very little is known about the health problems experienced by individuals with autism spectrum disor...
BACKGROUND: On December 6 and 7, 2017, the US Department of Health and Human Services (HHS) hosted i...
Geospatial artificial intelligence (geoAI) is an emerging scientific discipline that combines innova...
Over 15% of young people with autism spectrum disorders (ASD) will contemplate or attempt suicide du...
The United States is in the midst of a prescription opioid epidemic, with the number of yearly opioi...
Catheter-associated urinary tract infection (CAUTI) is a common and costly healthcare-associated inf...
Free-text reports in electronic health records (EHRs) contain medically significant information - si...
Social media are important platforms for risk communication during public health crises. Effective d...
Historical maps are unique sources of retrospective geographical information. Recently, several map ...
BACKGROUND: Millions of people worldwide are exposed to deadly infectious diseases on a regular basi...
Interpersonal firearm violence is a leading cause of death and injuries in the United States. Identi...
This review addresses the structure-function properties of hypolipidemic peptides. The cholesterol-l...
Many industry leaders and academics from the field of machine ethics would have us believe that the ...
Rich sources of obesity-related data arising from sensors, smartphone apps, electronic medical healt...
Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Now...