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Focused scientific study, led by Turing researchers, working with other academics and often industry collaborators, towards defined objectives. Turing research projects aim to be multidisciplinary and multi-institutional, delivering both scientific and real-world impact.

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Underside of an aeroplane under construction

Intelligent virtual test pyramids for high value manufacturing

Developing novel AI methods to build a more sustainable aviation industry

Iceberg

Improving tracking of iceberg populations in the Southern Ocean

Using machine learning to develop new methods to detect and track icebergs in radar satellite imagery

Stacked pebbles

Enabling trust models for differential privacy

Exploring novel trust models and how much extra utility can be gained from them

Brain made of blocks

AI for precision mental health: Data-driven healthcare solutions

Developing a cost-effective clinical decision support system to help clinicians

Woman talking

Towards incoherent speech as a predictor of psychosis risk

Investigating whether quantitative markers of speech can detect psychotic disorders and help predict clinical outcomes

Medical chart and paraphernalia

DeepGalen: Using background knowledge for personalised healthcare

Integrating patient data with genetic, clinical and biological information to aid learning about human disease

Hominid skulls

Palaeoanalytics

Using data science and machine learning to develop cross-disciplinary analytical methods in human evolutionary studies

Stem cells in liquid nitrogen

Automatic detection of genetic oscillators

Developing data analytics for high-throughput single-cell experimental data to aid better understanding of stem cells

Ambulance

Decision support algorithms for emergency departments

Developing machine learning classifiers to predict departure points in emergency departments in hospitals

Forensics

Statistics and the law: Probabilistic modelling of forensic evidence

Using real casework to inform the development of probabilistic methods for evaluating complex forensic evidence

Sphygmomanometer

Optimising hypertension management strategies

Using smart algorithms to optimise treatment decisions in blood pressure management and reduce economic burden on healthcare providers

Mouse

Mapping biology from mouse to man

Using machine learning to understand human biology

Trumpet

Jazz as social machine

Investigating the human complexities at the border between AI and jazz improvisation

Abstract painting

Efficient description of image data

Creating a mathematical tool set for image analysis and established effectiveness in medical applications

Legs on a fun run

Deep learning for predicting breast cancer therapies

Combining genomics with deep neural networks to predict therapies that can bypass resistance and minimise toxicity

Silhouette on a travelator

Anonymisation and provenance

Using the provenance of data to automatically choose the appropriate anonymization technology needed to protect the data across boundaries and uses

City

Digital twins for the built environment

Developing new mechanisms to leverage data science and simulation to support energy efficient built environments

Footbridge

Digital twins for infrastructure and construction

Developing the mathematical and statistical underpinnings of digital twins of assets such as bridges

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