The future of personalized medicine is here, now, with the advent of predictive medicine. Personalized medicine already exists in oncology and in the treatment of rare diseases. The advent of predictive medicine is where we will predict human disease before it is clinically apparent. In fact, the 2020 article authored by Professor Greg Martin reports that it is an approach that has entered reality in the Emory Predictive Health Institute.
Imminent is the real-time integration and analysis of large-scale data to overcome the human limitations of information overload and cognitive processing.
Predictive medicine is a digital health reality! We have a lot to do…….in my own words, including:
- standardization of clinical knowledge,
- real-time collection of new information,
- integration of real time information (e.g IoT) with existing information,
- computation clean information,
- visualization of (meaningful) information
– all of this needs solutions to help our healthcare team to improve human health. Who and what are these solutions? Global and strategic initiatives, product solutions such as Internet-of-things (IoT) solutions, cloud platforms, high dimensional genomics and phenotyping are all possible solutions that deserve a separate post(s) but what is the reality?
From a critical care perspective where medical care is time sensitive, Professor Martin shares that there are well documented examples of high dimensional phenotyping permitting early, effective interventions that favorably benefit human health. Read the full article on his perspective in his 2020 publication on the intersection of big data, A.I. Precision and Predictive medicine.
What’s New? A key contributor to high-dimensional data is the explosion in the methods of genomics. A notable disruption is the emergence of spatial transcriptomics, aka omics of gene expression. In fact, this method was recognized as the method of the year in 2020 by Nature Methods in its January 2021 publication.
What’s Next? Subscribe to The Molecular portraits blog for
- similar perspectives on predictive medicine in radiology and pathology and
- market growth in high dimensional phenotyping.
