Use CaseR and DPharma & Biotech / Pharma & Biotech

Predict outcomes from fewer or less diverse experiments to reduce research costs and time to market

Predict outcomes from fewer or less diverse experiments to reduce R&D costs and time to market - potentially also mitigating cost and loss of life from animal experimentation

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Risk reduction

Risk reduction - Predictive diagnosis

Cost

Cost - Reduce wastage

Description

Predict outcomes from fewer or less diverse experiments to reduce research costs and time to market

Benefits & ROI

0.9

Linked Case Studies

Case Study

Dana Farber Cancer Institute

Dana Farber Cancer Institute accelerates clinical trial recruitment by using machine learning for genome mapping to identify best candidates

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Case Study

Johns Hopkins University

Scientists aim to eliminate animal testing by automating the proccess based on existing knowledge about chemical interactions using machine learning

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Source: mckinsey.com · Editor: original