Tsunehiko Kurokami, Hisao Kobayashi, Moe Nakajima, Masashi Mikami, Tatsuya Koeda
Establishment of an objective index for the diagnosis of attention deficit/hyperactivity disorder by the continuous performance test "MOGRAZ"
Brain & development
predictive microbiology rapidly evolving field gained significant interest years due diverse application food safety predictive models widely used food microbiology estimate growth microorganisms food products models represent dynamic interactions intrinsic extrinsic food factors mathematical equations apply data predict shelf life spoilage microbial risk assessment due ability predict microbial risk tools also integrated hazard analysis critical control point haccp protocols however like new technologies several limitations linked use predictive models found incapable modeling intricate microbial interactions food colonized different bacteria populations dynamic environmental conditions address issue researchers integrating several new technologies predictive models improve efficiency accuracy increasingly newer technologies whole genome sequencing wgs metagenomics artificial intelligence machine learning rapidly adopted newergeneration models facilitated development devices based robotics internet things timetemperature indicators incorporated food processing domestically industrially globally study reviewed current research predictive models limitations challenges newer technologies integrated developing efficient models machine learning algorithms commonly employed predictive modeling discussed emphasis application research industry advantages traditional models