In this 21^st century, AI is set to protect astronaut health from cosmic radiation through the recent collaboration of NASA Frontier Development Lab (FDL) and Intel known as Intel AI Mentor. It has developed the first-ever AI algorithm that needs a combination of radiation exposure data from humans as well as mice for providing biomarkers. Biomarkers are known for measuring the different stages of cancer progression efficiently and effectively.

NASA FDL needed to formalize how casual machine learning models work on datasets in different environments and locations without physically moving the datasets. Intel AI Mentor can utilize custom AI algorithms for a better understanding of astronaut health and multiple ways of further improvement. NASA is optimistic about reaping the benefits of Intel AI Mentor for the International Space Station, future space stations, as well as the 2024 Lunar Mission.

Space travel for a long period of time can allow cosmic radiation to penetrate through the thick layers of steel and aluminum and damage human tissues gradually. Astronauts may get diagnosed with different stages of cancers and further complications as a serious consequence. To avoid this drastic health complication in the future, Intel AI Mentor is created with casual machine learning to train AI algorithms on data stored in different locations. These datasets are extremely confidential and are protected by multiple agencies. Thus, this major breakthrough in leveraging cutting-edge technologies for protecting astronaut health is a combination of mouse data, human, and accurate identification of cancer-causing genes.

The team of Intel AI Mentor consists of Intel employees and the FDL research team who share an equal passion for research and technology with sufficient technical know-how on data science, AI, space, and applications. Intel has also announced constant support to improve astronaut health with AI and different software. This collaboration will help NASA understand better mechanisms for protecting its astronauts in different missions and provide a blueprint for applications of AI in the medical department on Earth.

Thus, these researchers developed CRISP 2.0 (Casual and Inference Search Platform) as an extension of CRISP 1.0 with the help of the FDL Astronaut Health Team in 2021. The AI OpenFL framework allowed the combination of CRISP 2.0 models from multiple organizations like NASA, the Mayo Clinic, and the NASA Gene Lab without physically transferring the confidential data. NASA FDL is known for leveraging AI technologies in expanding the scope of research, developing breakthrough tools, and many more domains to break some major challenges on Earth.