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Ishango Data science Fellowship
Ishango Data science Fellowship

Shaping the Future of Healthcare with AI and Machine Learning

Harnessing the power of advanced algorithms and cutting-edge technologies, we enable pharmaceutical companies and biomedical institutions to unlock new insights, streamline processes, and drive innovation. Our expertise in AI and machine learning allows us to tackle complex challenges, accelerate research and development, improve patient outcomes, and shape the future of healthcare.

Learn more

Shaping the Future of Healthcare with AI and Machine Learning

Harnessing the power of advanced algorithms and cutting-edge technologies, we enable pharmaceutical companies and biomedical institutions to unlock new insights, streamline processes, and drive innovation. Our expertise in AI and machine learning allows us to tackle complex challenges, accelerate research and development, improve patient outcomes, and shape the future of healthcare.

Learn more

Case Studies

We are at the forefront of revolutionising healthcare through our high-impact AI and machine learning solutions. With a proven track record, we have successfully delivered transformative outcomes in the pharmaceutical and biomedical fields.

Project: Leveraging Omniscient’s connectomic data, the project aimed to explore the influence of demographics on mental illness by investigating the relationship between demographic variables, disease, and connectomic data.

Outcome: The Ishango team successfully developed a robust model that uncovers the vital relationships between demographics, mental illness, and connectomic data, particularly highlighting the significant contributions of key features such as age and sex for accurate predictions.

 

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Project: Under the leadership of the Ishango team, our analysis aimed to assess the utilisation and effectiveness of Simprint’s fingerprint technology as a reliable biometric tool for identification.

Outcome: Through comprehensive evaluation, our findings enabled Simprints to gauge the performance of their technology, make operational improvements on the ground, and even influence the design of future projects for enhanced outcomes.

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Project: Our project focused on developing an innovative automated Natural Language Processing (NLP) solution. Our primary goal was to streamline the mapping of verbatim medical terms to a standardised dictionary, significantly reducing the time and effort required by analysts.

Outcome: Through our advanced NLP techniques, we successfully automated this process, empowering Phastar to optimise its workflows and enhance overall efficiency in its data analysis endeavours.

 

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“The work done by the Ishango.ai fellows throughout the program led to useful insights for our company. Having now seen it first-hand, there’s no doubt that Africa has excellent and untapped Data Science talent, capable of delivering real business value.”
Hugh TaylorSenior Data Scientist at Omniscient Neurotechnology, Omniscient
Hosting an Ishango.ai Fellow has been an incredible asset to our team. Victoire’s work ethic, positive attitude, flexibility, and commitment have been commendable. She has been an integral part of the analytics team at Simprints, extracting insights from complex data that have supported key decisions.
Carla LewisHead of Monitoring, Evaluation and Impact at Simprints
“It was useful to gain input and insight from a different perspective, and the Ishango team provided interesting ideas and solutions for the problem." The fellows were engaged and enthusiastic from the start of the project, explaining their ideas and asking some challenging, insightful questions throughout, which was great.
Jennifer BradfordLead Data Scientist at Phastar
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Types of Projects We Deliver

We recruit and support data scientists to deliver real-world data related projects for host organisations. They are are supervised by experienced Data Scientists who oversee delivery and ensure high performance.

Data & Software Engineering​

  • Data model design and implementation (e.g. ontology)

  • Data architecture definition and optimization (e.g. Graph DB)

  • Data health checks / unit testing

  • Continuous integration and deployment (i.e. automation)​

AI & Machine Learning

  • Anomaly or object detection

  • Forecasting and predictive modelling

  • Recommendation engines

  • Natural Language Processing (NLP)​

Analytics & Dashboards

  • Visual analytics solutions

  • Management Interface (MI) Dashboards

  • Recommendation engines

  • Automated reporting capabilities​

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