Personalised health: Using AI to make society healthier
Increasingly unhealthy lifestyles are driving up healthcare costs. Fortunately, the use of AI in healthcare can improve its quality, reduce its costs and could actually make us healthier. AI in healthcare could provide data on citizens, personalised advice and active support. Analysing personal data and predicting what we need to do, can help us stay healthy or change our lifestyle. This will reduce the burden of disease.
Work with us in APPL.AI
Contact us about Personalised Health
TNO works with commercial and health-related organisations to develop several platforms. These will provide lifestyle support, promote our understanding of our health and the necessary interventions and offer personalised advice. Our overall vision, is that AI should work together with citizens and healthcare providers to improve the individual health.
AI’s huge potential for personalising health
Personalised health, based on Artificial Intelligence, is an area in which we can manage preventive health measures, process data, develop predictive models and share that data between all parties in a secure environment. Healthcare nowadays is typically based on evidence from large-scale clinical trials. Health is personal, and so should be the advice. AI in healthcare, based on personal data from wearables/trackers and apps, consultation and medical data, offers new ways of making that advice personal. This can all be made possible through the personal health train (data secure infrastructure for data reuse and advice) and predictive models in health, in which the data of many citizens and patients can be connected and then fed to AI models.
Making AI understandable, explainable and controllable
There are two key challenges to the successful implementation of AI in healthcare. The first of these is making trustworthy and transparent algorithms in predictive health models. The second is managing the interaction between health professionals, individuals and the machine. Gaining consumers’ trust in any health advice that is aimed at improving their lifestyle is crucial. If they don’t trust that advice they simply won’t follow it. The outcomes of AI-enabled healthcare models must therefore be understandable, explainable, controllable and reliable for health professionals and individuals alike.
With respect to privacy, the data sources used in the creation of personalised health advice should be connected and the data must be shared in trustworthy, transparent and secure ways. Guaranteed confidentiality will be a key enabler in the development of new AI in healthcare applications.
Personalised Health: What does TNO offer?
- We develop privacy-by-design technology to safely share data.
- We combine biological, psychological and social data and insights with AI in healthcare techniques and expertise.
- We develop predictive models and related interventions.
- We develop digital biomarkers to diagnose health (including proxies).
- We design hybrid models (knowledge-data driven) and beta apps for diagnosis and health (behavioural change) (e.g. igrow).
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- Program line 1: Safe autonomous systems in an open world
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- Fair decision making in the job market
- Secure learning in diabetes-2 advice
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- LAUNCH
- Successful neighbourhood approach: motivate residents
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- SEWGS: revolutionary CO2-reduction technology and blue hydrogen production
- STEPWISE and FReSMe: CO2 reduction solutions for the steel industry
- 3D-printing for CO2 capture productivity increase
- Multi-partner ALIGN-CCUS project
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- Reduce emissions steel industry
- CO₂ capture with AVR
- On-site CO₂ Capture Services: reducing emissions cost effectively
- SEDMES: Efficient technology to convert CO2 to useful product
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- H-vision: blue hydrogen to accelerate carbon-low industry
- 15 things you need to know about hydrogen
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- New research centre for hydrogen production
- Identifying the future international chain of green hydrogen
- Opportunities for green hydrogen for the manufacturing industry investigated
- Hydrogen from offshore wind: optimising the electricity grid
- Faraday lab: optimising and scaling up electrolysis
- Blue hydrogen paves the way for green hydrogen
- Biomass to fuels and feedstock
- ARBAHEAT - Sustainable future for coal-fired power stations possible through conversion to biomass
- AMBITION Advanced biofuel production from lignin rich residues
- BECOOL EU Brazilian cooperation on advanced biofuels
- Horti-BlueC - a new EU cooperation on reducing Bio-waste and CO2-footprint in horticulture
- UNRAVEL - valorization of lignocellulosic biomass
- MacroFuels advanced biofuels from seaweed
- BRISK2 Biofuel Research Infrastructure for Sharing Knowledge
- New facility for seaweed processing
- TORWASH technology successful for waste water treatment and recycling plastics
- Biofuels lab: Making transport more sustainable with biofuels
- Take-Off: Sustainable aviation fuels from CO2, water and green energy
- HEREWEAR: Circular textiles from locally-sourced bio-based materials
- Transition to e-fuels: a strategy for HIC Rotterdam
- Re-use of existing infrastructure to accelerate the energy transition
- Sustainable Industrial Heat System
- 4 pioneering routes to a CO2 neutral industry
- Research facility Industrial Electrification accelerates greening of Rotterdam port
- Mollier facility: innovating in industrial drying technology
- Research facility for negative CO2 emissions
- Carnot lab accelerates sustainable industrial heat management
- Using energy and raw materials efficiently in industry
- e-Missi0n MOOI: TNO supports Dow and Shell in electric cracking
- CO2 reduction requires improvement of industrial processes
- Making the industrial energy transition feasible and affordable
- Sustainable subsurface
- Geological Survey of the Netherlands
- Geological Survey of the Netherlands
- 100 years of geological mapping
- GeoTOP
- Sand, gravel and clay extraction
- GIS and other tools for interactive planning
- DINO, Data and Information of the Dutch Subsurface
- BRO: the Dutch Key Register of the Subsurface
- Sustainable use and management Flemish-Dutch subsurface
- Petroleum Geological Atlas of the Southern Permian Basin
- 3D Subsurface mapping of the Dutch offshore
- Geological Survey of the Netherlands across borders
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- Making disruptive technologies practicable
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- CITYkeys – Performance evaluation framework for smart cities and projects
- Big data ecosystems: collaborating on data-controlled cities
- Knowledge mediator puts an end to bickering
- Intact – Climate resilient critical infrastructure
- Organising mobility
- Smart mobility and logistics
- Smart vehicles
- Smart Mobility Research Centre SMRC
- Sustainable Traffic and Transport
- Sustainable Mobility and Logistics
- Improving air quality by monitoring real-world emissions
- Emission factors for road traffic
- Measuring the emissions of powered two wheelers
- Emissions of particulate matter from diesel cars
- Random Cycle Generator
- EnViVer: model traffic flow and emissions
- Measuring real-world emissions with TNO’s Smart Emissions Measurement System (SEMS)
- Measuring the emissions of trucks and buses
- Reducing Greenhouse Gas Emissions in Commercial Road Transport
- Measuring the emissions of non-road mobile machinery
- Emission measures in practice
- The transition to CO2-neutral mobility in 2050
- Sustainable Vehicles
- Innovative technologies for zero-emission vehicles
- CO2 reduction by high-efficiency Flex Fuel technology with extremely low emissions
- Actual energy consumption and emissions
- Automotive Battery Research
- Making transport more sustainable by means of electric vehicles
- Energy Efficient Electric Bus E3Bus
- eCoMove
- How hydrogen can accelerate energy transition in the transport sector
- Green performance of ships
- Expertise groups
- Information & Communication Technology
- Roadmaps
- Fast open infrastructures
- Data sharing
- Trusted ICT
- Efficiency, effectiveness, quality and the costs of systems
- Expertise groups
- Strategic Analysis & Policy
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- Strategic Business Analysis
- Strategy & Policy
- Orchestrating Innovation
- Tech Transfer
Ir. Carla Rombouts-Gordijn
- Digital health
- Data management
- Lifestyle & health
- Privacy
- Artificial intelligence
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