Precision medicine is one of the most talked about trends in healthcare. The promise is improved health outcomes and patient satisfaction, gained through an understanding of individual variability in genes, environment, and lifestyle. Recent commentators suggest that many of the technologies required to realize this goal already exist—and predict much wider application can be achieved by 2030.
At the heart of a precision medicine approach is data—huge amounts of data.
Paradigm4 has signed an agreement with 54Gene allowing the latter to use the former’s Reveal Biobank App to explore, characterise and query 54Gene’s African Health Information Ecosystem, which is a curated data source of clinical phenotype and genetic information from which insights can be generated to assist the development of
Single-cell technologies have positioned themselves at the forefront of biomedical research. These platforms allow researchers to bypass the uncertainties of bulk data and instead interrogate biological systems at a level of detail that was previously unreachable. But the value of these systems risks being impaired by bottlenecks in data analysis
Marilyn Matz, CEO of Paradigm4, and Zachary Pitluk, Vice President of Life Sciences at Paradigm4, explain why scalable data science platforms are key to supporting integrated analysis of single-cell genomic data sets.
