Digital Health 2018-05-02T20:57:53+00:00

2018 – precisionlife MARKERS BRCA2 Paper Now Available
Click here for more information

Digital Health

precisionlife tools enable a range of fully personalized digital health solution that treats a patient as an individual, not just a disease:

Patient Management / Digital Health

 Fully personalized mobile apps to help patients on clinical trials or complex patients on chronic polypharmaceutical regimens minimize avoidable interactions between their diet and their medications and diseases
Smart edge analytics for delivering contextualized responses taking into account a patient’s medical circumstances in real-time directly on a low power IOT or wearable device
Providing highly personalized channels of information and resources to patients based on their diseases and treatments

 

Precision Medicine with Multi-Modal Biomarkers

Using polygenic and multi-modal biomarkers to more accurately personalize a patient’s disease risk, and likely optimal therapy regimen
Full contextual annotation of the features (e.g. SNPs, lifestyle factors, co-morbidities, treatment history etc.) associated with a specific sub-cohort of patients who co-stratify for specific disease risk or responses

 

IOT / Wearables / Smart Homes

 Sophisticated edge analytics platform, enabling models of complex systems behavior to be deployed on low power IOT and wearable devices to provide fully contextualized and personalized responses to multi-dimensional sensor data
Building of semantically normalized knowledge graphs encompassing the behavior of complex systems, and identifying optimal responses

Patient Management / Digital Health

Fully personalized mobile apps to help patients on clinical trials or complex patients on chronic polypharmaceutical regimens minimize avoidable interactions between their diet and their medications and diseases

Smart edge analytics for delivering contextualized responses taking into account a patient’s medical circumstances in real-time directly on a low power IOT or wearable device

Providing highly personalized channels of information and resources to patients based on their diseases and treatments

Precision Medicine with Multi-Modal Biomarkers

Using polygenic and multi-modal biomarkers to more accurately personalize a patient’s disease risk, and likely optimal therapy regimen

Full contextual annotation of the features (e.g. SNPs, lifestyle factors, co-morbidities, treatment history etc.) associated with a specific sub-cohort of patients who co-stratify for specific disease risk or responses

IOT / Wearables / Smart Homes

Sophisticated edge analytics platform, enabling models of complex systems behavior to be deployed on low power IOT and wearable devices to provide fully contextualized and personalized responses to multi-dimensional sensor data

Building of semantically normalized knowledge graphs encompassing the behavior of complex systems, and identifying optimal responses