From predictive analytics to machine learning, the application of data science within the healthcare industry is vast. The health sector generates a plethora of data, the efficient analysis of which opens up opportunities for innovative ways in which to prevent, treat and cure disease, improving the lives of humans.
Health data science is an emerging discipline which combines mathematics, statistics, epidemiology and informatics in order to mitigate these challenges to effectively harness opportunities presented by Big Data in healthcare. Matogen AI (MAI) has successfully completed a variety of projects in the medical field from oncology to orthopaedics, epidemiological to business case modelling, as well as both burn-out and resilience prediction.
Some of our work in the healthcare sector
Advances in Big Data analytics are providing researchers powerful new ways to extract value from diverse sources of data in the fight against cancer in particular, one of the most impactful non-communicable diseases worldwide, especially as the world population grows and ages. MAI completed a project for a US client to model, monitor and visualise cancer data in order to recommend optimal treatment regimens.
Similarly, the team also modelled orthopaedic data, to predict adverse events related to surgical procedures for patients suffering from mineral bone disease. Mental health disorders constitute another related major non-communicable category for which MAI is collaborating with a team of neuroscientists as part of an ongoing project.
On the infectious disease front, MAI has participated in advanced modelling of the COVID pandemic for a major international mining company, as well as building a pipeline to wrangle and visualise tuberculosis patient monitoring data for a US client using data from a large national database consisting of millions of records.
Read about how we used big data to boost wellbeing here. And see our health services: