AI-Powered Insights on Dataiku Improves Cancer Treatment Outcomes

Life Sciences Dataiku Data Science & Machine Learning 

Infocepts enabled a global pharma firm to enhance cancer treatment planning with an AI-powered patient ID solution in Dataiku—improving decisions, identifying candidates for alternative therapies, and unlocking $41M in market potential.

The Challenge

Our client, a leading life sciences company, faced key challenges impacting the accuracy and efficiency of bladder cancer treatment decisions:

Inadequate Patient Identification – No reliable method existed to accurately determine which patients were unsuitable for standard chemotherapy, leading to potential delays in appropriate treatment.
Limited Insights into Health Conditions – A lack of comprehensive understanding of underlying health conditions and risk factors made it difficult for healthcare providers to make well-informed treatment decisions.
High Data Acquisition Costs – The cost of obtaining new medical datasets was significant, requiring a solution that could extract maximum value from existing claims data.

This lack of precision in patient classification and treatment planning led to inefficiencies in care delivery and healthcare decision-making.

The Solution

To address these challenges, Infocepts developed an AI-powered solution in Dataiku, leveraging Python for data processing and Amazon Redshift for scalable storage and retrieval. Key solution components included:

AI-Driven Patient Classification – Built a machine learning model in Dataiku to categorize patients based on their existing health conditions, ensuring a structured and data-driven approach to treatment planning.
Identification of Key Health Factors – Analyzed and mapped 16 critical health conditions that impact treatment suitability, giving healthcare providers clearer insights for better decision-making.
Automated Data Processing – Implemented fully automated workflows in Dataiku, enabling monthly updates on patient eligibility while reducing manual effort and ensuring timely insights.
User-Friendly Interface – Designed an intuitive interface and automated reporting system, making it easier for healthcare professionals to access insights and act on the findings without requiring technical expertise.

This solution enabled faster, more accurate patient identification, improved healthcare decision-making, and streamlined data processing, ultimately enhancing treatment efficiency and patient care outcomes.

The Outcome

The implementation of this AI-powered solution significantly improved cancer treatment planning and patient care:

Provided healthcare providers with clear insights to help them make more accurate and informed treatment choices.
Improved patient identification and segmentation, unlocking a $41 million market potential for targeted treatment approaches.
Identified thousands of patients who were not suitable for standard chemotherapy, allowing for better treatment planning and personalized care.

The solution not only streamlined patient classification and improved care delivery but also created new opportunities for healthcare providers to enhance treatment outcomes in cancer care.

Talk to us to unlock the full potential of AI with Dataiku.

About the Client

Our client is a global pharmaceutical company focused on innovative therapies in oncology, urology, and immunology. Committed to advancing medical research, they leverage biotechnology and data-driven solutions to improve patient outcomes worldwide.

AI-Powered Insights on Dataiku Improves Cancer Treatment Outcomes

The Challenge

The Solution

The Outcome

Talk to us to unlock the full potential of AI with Dataiku.

About the Client

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