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I/O data science was asked to establish an in-house data science team and build the necessary data infrastructure, including analytical platforms and data pipelines. We developed machine-learning and NLP models to predict turnaround times and make recommendations to help automate the review and editing of scientific articles.
Springer Nature is a publisher of scientific text-books, magazines and more than 3000 scientific journals including Nature.
I/O data science recruited and managed a data science team and built data infrastructure, including analytical platforms and data pipelines. We developed data science tools to reveal gang networks, identify suspicious activity and predict violence and rioting. This helped the MoJ reduce violence and improve safety in prisons.
The MoJ is responsible for managing the prison service, including an estate of 200 prisons, secure hospitals and training centres.
I/O developed models to forecast passenger demand and the impact of rail emissions on the environment. These models helped DfT to plan the electrification of the rail network.
DfT is responsible for managing the UK transport infrastructure including the rail network.
We worked with Air Quality to develop models to predict vehicle churn and emissions on the UK road network. This helped DEFRA to understand the impact on public health of introducing low emission zones. The Resources team are responsible for managing the extraction, recycling and disposal of materials. We developed models and simulations to make predictions within the UK waste management system and inform the planning of new infrastructure.
DEFRA is responsible for maintaining a healthy environment. The Air Quality team monitors the concentration of pollutants in the air.
We worked with DHSC to develop machine learning models to analyse patient data and socio-economic factors and predict cancer incidence, prevalence, mortality and survival across regions. These models allowed DHSC to allocate resources and plan infrastructure according to need.

DHSC has overall responsibility for the healthcare system across the UK.

I/O built models to predict the effects of treatment interventions on survival rates and the response to awareness and screening programs. These models helped the NHS to make data-driven decisions in the planning of healthcare infrastructure.

NHS England is responsible for managing the diagnosis and treatment of diseases such as cancer.

We worked with the Physics department in using x-ray image data to better understand the performance of their detectors. We developed simulations to describe the trajectory of x-ray photons travelling through imaging detectors and models to predict the resulting energy distribution.

elekta design and build linear accelerators for the delivery of radiotherapy treatment.

I/O data science worked with the Physics Department to build pipelines to extract data from treatment plans and medical scanners. We developed machine learning models to predict the efficacy of radiotherapy treatment plans. The results of these models helped the Royal Marsden to improve the quality of care for cancer patients.
The Royal Marsden is a hospital specialising in the diagnosis and treatment of Cancer.
I/O data science worked with the Radiotherapy Department to develop tools to locate tumours in x-ray image data and steer the radiotherapy x-ray beam. We developed simulations to describe the trajectory of protons travelling through the human body during proton therapy and a statistical model to predict the resulting dose distribution.

The Institute of Cancer Research is a college of the university of London focused on developing novel treatments for cancer.

I/O data science worked with the Centre for Electronic imaging to build pipelines to extract data from satellites, clean and transform and load to analytical databases.

Brunel is an engineering focused university involved in the development of detectors for astronomical, medical and security applications.

We built and managed data infrastructure including an on-prem 200-node super-cluster for the analysis of gravitational wave data. We developed models to reveal the structural and spatial properties of galaxies and built Monte-Carlo simulations to predict the formation of stars.

The Astrophysics and Space Research Group at the university of Birmingham builds satellites and telescopes and analyses observational data to improve our understanding of the universe.

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Springer Nature

Springer Nature is a publisher of scientific text-books, magazines and more than 3000 scientific journals including Nature. I/O data science was contracted to establish an in-house data science team and build the necessary data infrastructure, including an analytical platform and associated data pipelines. We also worked with our client to deliver a number of bespoke data science products.