Title : Leveraging blockchain technology, edge computing and federated learning to enhance outcomes in precision medicine
Precision medicine is a relatively novel approach that aims to redefine the way we diagnose, treat and prevent disease. It has also evolved at an exponential pace over the last few years and fueled the development of person-centered medicine. This growth has been powered by several complex factors. Some of the main ones are advances in technology, increased aging population with a higher incidence of cancers, a higher market demand, increased use of big data, as well as scientific knowledge derived from panomicsLeveraging the full capabilities of frontier technology and the latest scientific advances in precision medicine could serve as the foundation for developing a global database that can spark further preclinical, clinical and translational research, and act as a driver for continuously optimizing global population health.
Blockchain, artifical intelligence methods and tools, as well as quantum computing are only a few of the emergign technologies that can have a profound transformative or even disruptiuve impact on precision health.
Blockchain technology's unique characteristics would allow us to address some of the major challenges within the healthcare system such as privacy, access, data ownership etc. It can also address the massive computational requirements for the large healthcare datasets generated daily, as well as the need for improved interoperability in a complex multi-stakeholder healthcare industry. Futhermore, blockchain brings the opportunity for greater transparency, enhanced security, improved traceability, increased efficiency and processing speed. Therefore it could become a powerful conduit or even a catalyst for innovative precision medicine interventions that are fueled by Genomics.
Quantum computing brings a few undeniable advantages to the scientific community, for example are superior computing power and speed, which are essential in managing simulation for predictions for extremely large data sets that are characterized by a high degree of variability.
The opportunity to combine quantum technology with edge, DNA and neuromorphic computing, as well as deploy it in combination with the full arsenal of artificial intelligence tools would further enhance the capabilties and lay the foudnation for a new era in precsion population health.