mHealth insights to
move the world forward
Motus Science is a leading mHealth AI platform that provides predictive analytics to inform healthcare decisions at organisational & individual levels.
Our aim is to promote human health & well-being through personalised, data-driven, evidence-based and intelligent recommendations.
Motus Science is partnering with leading experts in the fields of artificial intelligence, data science, behaviour change, mobile sensors, biomechanics, brain science and chronic diseases.
Together, we are developing revolutionary technology that represents the world’s first integration of health, human behaviour, transport and planning sciences.
Healthcare decisions at both organisational and individual levels are still largely based on manually collected, self-reported, inaccurate, unreliable, incomplete and untimely data.
This ‘bad’ data contributes to poor planning of healthcare systems and inadequate responses to pandemics and emergencies. Furthermore, people are generally given generic health recommendations with little personal meaning since current systems treat us all as identical people and assume our abilities and needs do not change over time.
Over 63.2 million people infected and over 1,467,987 deaths in 200 countries in six months
3.2 million deaths per year
(4th leading risk factor for global mortality)
4.2 million deaths every year from exposure to outdoor air pollution
Motus Science creates insights to imagine a better future for people and the environment. We tap into the intelligence of devices to understand people’s movement patterns and simplify cumbersome data collection processes with no conscious user action.
Our adaptive artificial intelligence platform detects what people do and what influences their choices. We apply deep neural networks and machine learning to discover where, when, how and why people travel.
Accurate, high-fidelity, fine-grain and person-level movement data from smartphone sensors (GPS, accelerometer, gyroscope and magnetometer).
Machine learning and statistical models aggregate movement, behavioural and environmental patterns for spatio-temporal analysis at individual and population levels.
Unprecedented insights to empower people, organisations and communities to make healthy, smart, sustainable and cost-effective decisions.
Intelligent and personalised recommendations for healthcare organisations to help people lead healthier lifestyles
We empower healthcare organisations to promote the safety of healthcare workers by implementing safe return-to-work and prioritised testing protocols.
Our mHealth platform combines and analyses the following data to provide real-time and personalised recommendations to support management decisions:
- Wearable-based digital biomarkers
- Health risk
- In-hospital contact tracing
- Community exposure risk
We determine the relative community exposure risk to infectious diseases of people’s everyday activities, based on the type of locations visited, the length of time spent at those locations, the purpose of visits, the time of day and day of the week, and the routes and travel modes used.
We provide behaviour and travel recommendations that reduce the time spent in 'hotspots' and provide safe travel alternatives. In order to provide deep spatial and temporal depth, we have integrated population, activity, mobility and health open-source data layers.
The Gift of Time™
We understand what people do in terms of their daily mobility and behaviour, as well as who they are in terms of their physical capabilities and limitations.
Our mHealth platform enables healthcare organisations to promote higher levels of safe physical activity by providing personalised mobility guidance:
- How active people can and should be based on their health condition & biomechanical capabilities
- When, where and how people can engage in physical activity as part of their daily routine with no time investment and lower infection risk
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