Hillen et al. analyzed whether artificial intelligence supported remote multimodal interventions, such as exercise, pain management, and nutrition, can improve the standards and quality of life for patients with severe, complex forms of pancreatic cancer. The research shows that pancreatic ductal adenocarcinoma (PDAC) is one of the more common forms of this cancer accounting for 90% of total cases. There are limited treatment options, and only a small proportion of the population is eligible for a surgery; the survival rate is around 10% (5 year survival rate), which emphasizes the need for more supportive measures. Malnutrition, cachexia, and sarcopenia (loss of muscle mass and function) are common symptoms, so the researchers wanted to focus on the physical rehabilitation aspect of recovery for these symptoms. Hillen et al. designed a study to test the functionality of an artificial intelligence trainer via RELEVIUM-RCT, splitting participants into a control group and an intervention group; the control group would not have any digital guidance in terms of their body metric assessment, while the intervention group would wear a smartwatch and use a mobile app. This technology specifically provided a numeric rating scale from 0-10 to assess pain daily with the information clinically accessible to the researchers as participants went about their daily lives. Automated alerts would trigger specifically when the pain scale would reach 5 or greater or if the patients heart rate variability (HRV) became abnormal. The mobile app provided educational training videos, pain management literacy, and guidance with medications. The research study is a study protocol, indicating that the researchers have not yet received results from their data yet, however the effectiveness of the RELEVIUM-RCT is still being thoroughly investigated through the research of Hillen et al.