Personal Nutrition Hypercube

More and more people are tracking and recording data such as nutrition, exercise, sleep, and vital signs like heart rate and blood pressure, using apps and digital tools like smartwatches and fitness trackers. However, rather than providing greater clarity, this often leads to information overload. Correlations go unnoticed, and the causes of health issues remain unclear.

With the “Personal Nutrition Hypercube,” or PNHC for short, we are developing an innovative AI platform for personalized health. Using machine learning methods, we automatically evaluate nutritional and health data to reveal complex correlations. Based on these findings, medical hypotheses can be formulated and tested in clinical practice or studies.

Thus, PNHC addresses a structural weakness of guideline-based medicine, which focuses on standardization rather than individualized treatment. PNCH provides personalized recommendations designed to significantly improve well-being and health through minimal, targeted dietary changes.