Deep Learning Grows in Popularity in Healthcare Universe, States Roots Analysis in Its Topical Report Available at MarketPublishers.com

06 Apr 2017 • by Natalie Aster

LONDON – With financial support from a number of VC firms and strategic investors, deep learning has become one of the most deeply investigated initiatives within the digital healthcare universe. Today’s generation of deep learning models are flexible and are capable of evolving and becoming more effective over time. In spite of being a comparatively new field of research, these models have already exhibited considerable potential in the healthcare domain.

Around 100 industry and non-industry players are engaged in investigating their proprietary deep learning-based technologies in the drug discovery and diagnostics field. From 2013 to 2016, 50 start-ups emerged in this field.

Over 55% of the firms operating in the space are making use of their deep learning models for the purpose of diagnosis. Out of these, around 80% of the firms provide medical image analysis solutions.

Meantime, around 35% of the companies that are active in this domain lay emphasis on using deep learning models in pharmaceutical research. 57% of these organisations offer drug discovery platforms powered by deep learning.

Topical research publication “Deep Learning in Drug Discovery and Diagnostics, 2017 - 2035” elaborated by Roots Analysis casts light on the market on a global level.

The report offers comprehensive insights into the digital revolution in the medical sector, and discusses the evolution of big data. It contains all-round information on nearly 100 companies which are assessing prospective use of their proprietary deep learning solutions in the healthcare area; as well as identifying specific geographical pockets as innovation hubs in the sector.  The study provides granular profiles of a number of top players, a case study on two technology behemoths in the industry; sheds light on the different investments to the industry; includes detailed forecasts pertaining to the development of the deep learning industry in the healthcare universe through to 2035. The report examines the companies that create deep learning solutions for use in drug discovery and diagnostics; reviews the opinions brought out by selected KOLs on the applications and challenges related to deep learning in the healthcare marketplace.

Other topical market research reports by the publisher are available at its page

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