Driving Innovation


Rubiscape's Impact in the

Healthcare Industry



Solutions build with Rubiscape

Implement Rubiscape’s AI-enabled Solutions! Geared for the future!



Predicting Storm: Unmasking Stroke Risks

Harnessing the power of analysis and modeling to prevent, diagnose, and treat stroke more effectively.

Goal

  • To identify risk factors associated with heart disease & to detect individuals patient status
  • To Improve patient outcomes by understanding patterns and trends in Heart Disease data

Technique

  • Statistical Analysis, Sampling Techniques, Classification algorithms, Visualization.

Impact

  • Improved health outcomes: reducing severity & improving recovery chances in stroke
  • Increased awareness and prevention: raise awareness of the risk factors and warning signs of a heart disease.

Mapping Maze: Classifying Alzheimer’s precisely

New advancements unlock earlier diagnosis, tailored treatment, and hope for the future.

Alzheimer’s disease classification

Goal

  • To enable early detection and diagnosis of Alzheimer’s disease.
  • To classify accurately the Alzheimer’s stage for timely intervention and treatment.

Technique

  • Exploratory Data Analysis, Image pre-processing and augmentation, Image classification algorithms, Visualization.

Impact

  • Early Intervention and Treatment
  • Cost-effective treatments, reducing the overall burden on healthcare systems.
  • Lesser Human Intervention.

AI Unmasks Tumors: Beyond the Invisible.

Early diagnosis improves outcomes, and groundbreaking AI technology is revolutionizing brain tumor detection.

Goal

  • To enable early detection and diagnosis of Brain Tumour from MRI Scans.
  • To detect location and area of tumour.
  • To implement algorithms for quantitative assessment of tumour growth over time.

Technique

  • Exploratory Data Analysis, Image pre-processing and augmentation, Image classification and Segmentation algorithms, Visualization.

Impact

  • Provides an early and appropriate information for diagnosis.
  • Delineates pathological regions, offering valuable insights for surgical planning.
  • Early Intervention and Treatment
  • Lesser Human Intervention.

Mapping Maze: Classifying Alzheimer’s precisely

New advancements unlock earlier diagnosis, tailored treatment, and hope for the future.

Alzheimer’s disease classification

Goal

  • To enable early detection and diagnosis of Alzheimer’s disease.
  • To classify accurately the Alzheimer’s stage for timely intervention and treatment.

Technique

  • Exploratory Data Analysis, Image pre-processing and augmentation, Image classification algorithms, Visualization.

Impact

  • Early Intervention and Treatment
  • Cost-effective treatments, reducing the overall burden on healthcare systems.
  • Lesser Human Intervention.
 

Do even more with Rubiscape

AI-driven organisations around the world use Rubiscape to solve their most pressing business problems.



Healthcare

Drag, Drop, Discover:
Insights Made Simple.

Dive deep into your data, create stunning visuals, and gain actionable insights with ease.

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Healthcare

Build, Deploy, Manage:
Streamline AI Workflow.

Build robust, Scalable ML/DL models with ease , automated workflows & data empowerment.

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Healthcare

Wrangle, Blend, Analyze:
Data Orchestration Refined.

Develop data fabric and flow designs with low-code, pro-code and self service platform.

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Healthcare

Manage, Evaluate, Automate:
Edge Analytics Seamless.

Handle data or device management with integrated ML models and M To M application.

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