Inactive

The Contractor shall conduct all elements of research centered on assessment of chemical injuries, prevention thereof, and use of AI-method to predict molecular mechanisms of toxicity. The ability to ... The Contractor shall conduct all elements of research centered on assessment of chemical injuries, prevention thereof, and use of AI-method to predict molecular mechanisms of toxicity. The ability to predict the potential of a chemical to interact with toxicity targets is crucial for understanding the adverse liability associated with them and providing insights into the underlying mechanisms of toxicity. However, it is practically impossible to experimentally screen against hundreds of potential targets for a single chemical, and even more so for a large database of chemicals. Currently, it is not possible to experimentally screen against these new targets for every military-relevant chemical exposure The research is to develop predictive computational tools and platforms using deep neural networks to assess the mechanisms of adverse effects associated with chemical exposures, including industrial and commercial chemicals, chemical agents, toxins, and drugs. This is in response to the increasing risk of adverse health effects for military personnel who are exposed to chemicals during training exercises, overseas deployments, and national defense operations. Additionally, the potential for chemical exposures is expected to increase in the future as conflicts occur in urban, industrialized megacities. The proposed platform will utilize in vitro and in vivo experimental screening data to predict the mechanisms of adverse outcomes