Shozo Yanagida (Emeritus Professor at Osaka University since 2004) has been working on computational science (DFT/MM/Spartan) using the molecular modeling software Spartan for the past 15 years. He has frequently presented at the Global Scientific Guild's Global Conference: Global Webinar on Traditional and Interactive Medicine, focusing on traditional Japanese iodine therapy, https://www.globalscientificguild.com/traditional-medicin/ Shozo Yanagida currently serves as Honorary Chair of the conference. Furthermore, Shozo Yanagida is a scientist currently at the forefront of quantum chemical molecular modeling of molecular assemblies based on density functional theory, and a leading chemist in elucidating the energy structure of molecular assemblies that occur in mitochondrial tissues in the cellular mitochondria. A paper verifying the theory of molecular chemical phenomena through molecular modeling can be found on Scholar GPS.com (https://scholargps.com/). The main content of this report was published in the medical journal Advance Medical and Clinical Research under the title "Prediction, validation, and learning of mitochondrial-damaged tumor cells."

Shozo Yanagida (Emeritus Professor at Osaka University since 2004) has been working on computational science (DFT/MM/Spartan) using the molecular modeling software Spartan for the past 15 years. He has frequently presented at the Global Scientific Guild's Global Conference: Global Webinar on Traditional and Interactive Medicine, focusing on traditional Japanese iodine therapy, https://www.globalscientificguild.com/traditional-medicin/ Shozo Yanagida currently serves as Honorary Chair of the conference. Furthermore, Shozo Yanagida is a scientist currently at the forefront of quantum chemical molecular modeling of molecular assemblies based on density functional theory, and a leading chemist in elucidating the energy structure of molecular assemblies that occur in mitochondrial tissues in the cellular mitochondria. A paper verifying the theory of molecular chemical phenomena through molecular modeling can be found on Scholar GPS.com (https://scholargps.com/). The main content of this report was published in the medical journal Advance Medical and Clinical Research under the title "Prediction, validation, and learning of mitochondrial-damaged tumor cells."