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AI Use Case

Enable genome sequencing for personalised cancer treatment

Gene analytics and editing can be sped up and delivered with high accuracy using AI. The potential for radical change in patient outcomes in oncology is one of the most interesting potential outcomes from applied AI.



Risk reduction - Patient outcomes,Risk reduction - Mortality rate,Risk reduction - Predictive diagnosis,Risk reduction - Recovery rate

Case Studies

Potential Vendors



Pharmaceuticals And Biotech

Data Sets

Structured / Semi-structured,Images

AI Technologies

Machine Learning (ML),ML Task - Prediction - Binary Classification,Model Architecture - Support Vector Machine (SVM),Model Architecture - Artificial Neural Network (ANN),Model Architecture - Decision Tree,Model Architecture - Random Forest,Algorithm - K-Nearest Neighbour,Algorithm - Naive Bayes,Traditional AI,Model Architecture - Hidden Markov Model,ML Task - Grouping - Clustering,Algorithm - Actor-Critic,Algorithm - Ensemble Learning

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