Climate change, the growth in world population, high levels of food waste and food loss, and
the risk of new disease or pandemic outbreaks are examples of the many challenges that …

The convergence of artificial intelligence (AI) and precision medicine promises to
revolutionize health care. Precision medicine methods identify phenotypes of patients with …

Racism. Sexism. Heterosexism. Gender binarism. Together, they comprise intimately
harmful, distinct, and entangled societal systems of self-serving domination and privilege …

Disease surveillance systems are a cornerstone of public health tracking and prevention.
This review addresses the use, promise, perils, and ethics of social media and internet …

Artificial intelligence (AI) has the potential to improve public health's ability to promote the
health of all people in all communities. To successfully realize this potential and use AI for …

Abstract Machine learning approaches to modeling of epidemiologic data are becoming
increasingly more prevalent in the literature. These methods have the potential to improve …

Food safety continues to threaten public health. Machine learning holds potential in
leveraging large, emerging data sets to improve the safety of the food supply and mitigate …

With advances in artificial intelligence (AI) technologies, the development and
implementation of digital food systems are becoming increasingly possible. There is …

The moulding together of artificial intelligence (AI) and the geographic/geographic
information systems (GIS) dimension creates GeoAI. There is an emerging role for GeoAI in …

What does it mean to sense, see, and act like a state in the digital age? We examine the
changing phenomenology, governance, and capacity of the state in the era of big data and …