AI prediction

This image illustrates the brain regions in which differences were seen in people at clinical high risk who later developed psychosis. The darker blue areas indicate the more important brain regions for differentiating between the two main groups (healthy and those at clinical high risk who later developed psychosis).

Using AI to predict psychosis before it occurs

Given the alarming impact of microplastic pollution in nature, it is important to understand how this toxic waste alters the environment. However, there is a paucity of research on how microplastic litter in soil impacts the quality of soil. To this end, researchers led by Prof. Yong Sik Ok, applied machine learning models to find that microplastic characteristics, such as its type, size, shape, and dosage can significantly change soil properties, including pH, organic carbon, phosphorus, nitrogen, and acid phosphatase enzyme activity. CREDIT Hillary Daniels from Flickr Image Source: https://www.flickr.com/photos/51763198@N00/12140848366

Predicting the influence of microplastics on soil properties with artificial intelligence

Using AI to predict COVID-19 infection without testing

Artificial intelligence can predict cancer patients’ symptoms