Healthcare is experiencing a metamorphosis, and it is essential to leverage new technologies to produce new data and uphold the emergence of precision medicine (PM). Contemporary scientific innovations and technological improvements have enhanced the understanding of disease pathogenesis and transformed how we determine and treat disease resulting to more precise, predictable, and potent health care tailored for a specific patient. Genetic, genomics and epigenetic changes appear to be contributing to various diseases. Deep clinical phenotyping, coupled with advanced molecular phenotypic profiling, allows the construction of causal network models. A genomic region is intended to influence the levels of transcripts, proteins, and metabolites. Phenotypic analysis bears considerable importance to describe the pathophysiology of networks at the molecular and cellular level. Digital biomarkers (BMs) can also have various applications beyond clinical trials in diagnostics to determine patients affected by a disease or to guide treatment. Digital BMs present a significant probability to measure clinical endpoints in a remote, objective, and unbiased manner. Simultaneously, the use of “omics” technologies and large sample sizes have generated vast amounts of data sets, and their analyses have become a crucial obstruction requiring refined computational and statistical methods. With the wealth of information for different diseases and their link to intrinsic biology, the challenge is to turn the multi-parametric taxonomic classification of disease into better clinical decision-making by defining a disease more precisely.
Consequently, the big data insurgence has provided an opportunity to implement artificial intelligence (AI) and machine learning algorithms to this humongous data set. The developments in digital health opportunities have also emerged several questions and concerns on the future of healthcare practices, particularly with what regards the reliability of AI diagnostic tools, the impact on clinical practice, and vulnerability of algorithms. AI, machine learning algorithms, computational biology, and digital BMs will offer an opportunity to translate new data into actionable information, thus, allowing earlier diagnosis and precise treatment options. A better understanding and coherence of the varied components of the knowledge network is a must to harness the potential of it entirely.
Healthcare Tech Outlook’s editorial board has assessed and shortlisted some of the most prominent organisations within the precision medicine realm. We hope this issue of the Healthcare Tech Outlook helps you build the partnership you and your firm need to foster a technologically-driven environment.
We present to you Healthcare Tech Outlook’s “Top 10 Precision Medicine Solution Providers in Europe - 2020.”
