Problem
- Pneumonia causes over 1M deaths a year
- Cost effective process needed for diagnosing X-Ray scan images
Detecting pneumonia in x-ray images
Customer
Pro bono
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
This page is only available in english