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Detecting pneumonia in x-ray images

Customer

Pro bono

Problem

  • Pneumonia causes over 1M deaths a year
  • Cost effective process needed for diagnosing X-Ray scan images

Solution

  • Pro-bono research work to develop a predictive model for the diagnosis

Impact

  • 92% of accuracy
  • Model published -> available for researchers

Augmented reality microscope

Customer

MedTech company

Problem

  • Product development of a digital microscope scanner with augmented reality features
  • Delineations need to be created around areas of cancerogenous cells
  • High resolution images (1px = 2 micron, 400 Mpix)
  • Delineations ready below 5 secs

Solution

  • Pixel-wise predictions
  • Choice of hardware and software architecture for the inference

Impact

  • AI contribution to the product development (TensorFlow, Keras, ConvNets, fully-convolutional network)

Patient data classification

Customer

US pharma producer

Problem

  • Difficulties to identify the patients eligible for the particular treatment, based on narrow criteria in the free text patient records

Solution

  • PoC to create a way to look up patients meeting the particular criteria using pattern matching and machine learning so that they can be qualified for treatment

Impact

  • The eligible patients will receive the treatment they are eligible for
  • Time saving compared to a manual lookup

Data driven production line optimization

Customer

Swiss division of Global Pharma

Problem

  • Running out of production capacity, significant CapEx investment needed in the new production line to keep up with demand
  • Goal: increase the production capacity by 5% via advanced analytics

Solution

  • Data integration
  • Anomaly detection algorithms
  • Data correlations -> insights -> recommendations

Impact

  • Trending towards 11% of productivity increase (throughput and yield optimization)
  • 15x ROI

Production line continuous monitoring

Customer

Swiss division of a Global Pharma

Problem

  • The customer’s production line went through a data driven optimization, the customer wants to ensure the production line maintains the highest possible OEE and wants to add advanced features like automated issue detection & prediction

Solution

  • Near real time continuous monitoring system of key production processes with advanced analytics built in (alerting, trend detection, anomaly detection, predictive maintenance)

Impact

  • Greater production process visibility
  • Quicker time to resolution
  • Improved uptime

Production line optimization

Customer

Swiss division of Global Pharma

Problem

  • Running out of production capacity, significant CapEx investment needed in the new production line to keep up with demand
  • Goal: increase the production capacity by 5% via advanced analytics

Solution

  • Data integration, AWS platform
  • Anomaly detection algorithms
  • Data correlations -> insights -> recommendations

Impact

  • Trending towards 11% of productivity increase (throughput and yield optimization)
  • 15x ROI

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