My Inner Selfie using 'multiomics profiling'

An additional tool in precision healthcare, My Inner Selfie aims to more accurately predict, prevent and cure disease, premature ageing and injury by taking into account each individual’s genetics, environment and lifestyle factors, as opposed to the “one-size- fits all” and reactive approach.

Current medical care focuses on treating people after they become patients rather than preventing disease.

Moreover, a “one-size-fits all” approach to healthcare does not take into account individual differences in genetics, environment or lifestyle factors, resulting in fewer people benefiting from general interventions.

Rapid advances in multiomics enable deep phenotyping, mapping the interaction of multiple levels of biology over time, enabling precision approaches and making the healthcare of the future more efficient and effective.

My Inner Selfie leverages current multiomics research for applications in the following areas: 84 athlete-specific sports, metabolic comfort, managers peak performance and longevity/ageing.

The whole is greater than the sum of its parts. A holistic approach.

However, individual omics data for only one type of biology are largely correlative in nature and cannot adequately capture the complexity of molecular events and their interactions. Combining multiple omics can provide functional information that enables a new understanding of the molecular complexity underlying precision approaches to health, injury prevention and performance.

In My Inner Selfie, we focus on the potential of multiomics approaches in unravelling host-microbe and host-environment interactions.
We apply computational systems biology and our method decodes thousands of individual chemical signals from genetic and non-genetic factors to reveal biological pathways.
We establish links where individual omics cannot, and enable precise subtyping.
With our unique combination of data science and biological expertise, we enable data-driven development of therapies and bring insight into complex biological systems to quantify the effect of nutrigenomics on “phenotypic flexibility”.