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Healthcare and Pharma





Learning software

Processing of 1.6 million citizens medical records of Royal Free London. Streams, a mobile phone based application to  predict early detection of an acute kidney condition address "Failure to rescue” situations by bringing together medical information and clinicians to spot serious issues.


Learning software

Retina scans analysis to identify early signs of degenerative eye conditions. Used 1 million anonymized retina scans to train the machine learning system in collaboration with NHS


Learning software

Neck and Head cancer imagery to distinguish between cancer and healthy tissues in collaboration with NHS

IBM Watson, partnering with Pfizer

Drug discovery in immune-oncology (cancer therapy)

 Cancer drug discovery. Plans to analyse more than 30 million lab reports and medical literature.

IBM Watson with CVS

Pharmacy application

Personalised care and care coordination for CVS pharmacy customers


AI for analyzing x-rays, MRI and CT scans for disease signs

Analyses CT scans taken at different angles.  Early warns suspicious findings and alerts doctors, highlighting a particular feature for further investigation; 50% better at classifying malignant tumours and had a false-negative rate (where a cancer is missed) of zero, compared with 7% for the humans; can detect tiny fractures to the extent of 0.01% of an x-ray image.

BERG Health

AI for analyzing tissue samples

Berg claims its Analytics' solutions would help reduce adverse events, slow disease progression, and improve therapeutic effectiveness. Uses its Interrogative Biology platform uses patients own biology in discovering potential drug for skin cancer.


ML/NLP based looking for potential drug molecules

To deliver better medicines against orphan diseases and rare cancers by improving the efficiency of drug development. Developed use case to automate the extraction of biological knowledge, undertake predictive and generative biochemistry, and advance better therapeutic molecules to develop new medicines more efficiently.


Neural lace

Invasive devices for treating neurological ailments; To develop brain Implants to interface with AI



Invasive devices for treating neurological ailments; to develop brain Implants to interface with AI

Carnegie Mellon University

ML algorithm for predicting heart attacks at hospitals

Test results indicate 80% accurate prediction with 4 hours ahead of the event.