DeepMind Health

DeepMind Health is a project to develop AI technologies for improving health care, beginning with the National Health Service in the UK. Its aim is to shift resources away from reaction towards better prevention in health care. It has acquired the app Hark to help clinicians with task management and is developing an app called Streams to assist in early detection of acute kidney injury. On July 5, 2016, it announced its partnership with Moorfields Eye Hospital, one of the world’s leading eye hospitals, to investigate how machine learning can help analyze digital eye scans, enabling earlier detection and intervention for patients with diabetic retinopathy and age-related macular degeneration.

Source: https://deepmind.com/health

gggg

'gggg' is the name of the team that won the 2012 Merck Molecular Activity Challenge on Kaggle. The winners consisted of doctoral students and professors from the University of Washington and the University of Toronto, including computer scientist Geoffrey Hinton famous for the back-propagation algorithm used in training neural networks. The objective of the Merck challenge was to develop the best statistical techniques for predicting the biological activities of different molecules towards 15 biologically relevant targets. Using a deep learning model designed for speech recognition, gggg surmounted an industry standard benchmark by 17%, suggesting new computer-aided avenues for pharmaceutical research.

Sourceshttp://blog.kaggle.com/2012/10/31/merck-competition-results-deep-nn-and-gpus-come-out-to-play/https://www.kaggle.com/content/kaggle/img/casestudies/Kaggle%20Case%20Study-Merck.pdf