Healtcare Deep Learning in Drug Discovery and Diagnostics Ma | Page 2

Pharmaceutical companies and other drug manufacturers are focusing on integrating in deep learning in drug discovery and diagnostics to introduce novel treatments to effectively address the increasing burden of diseases. This would help ensure that prospective drugs would attack the source of any ailment along with satisfaction of restrictive metabolic and toxic constraints. As mentioned earlier, drug discovery involves significant investment of time and resources, and the outcome is rather uncertain. Deep learning in drug discovery and diagnostics plays a pivotal role in increasing the probability of getting a successful outcome. This is expected to be a crucial driver for the deep learning in drug discovery and diagnostics market over the forecast period. Rise in number of application is projected to favor growth of the deep learning in drug discovery and diagnostics market: The global deep learning in drug discovery and diagnostics market is consolidated, with major players holding up the maximum share due to their extensive expertise in the subject of artificial intelligence, attained through several score years of intensive studies. Players in the market are developing novel techniques to understand the nature of the diagnostic biomarkers and drug discovery through major spending on R&D. For instance, Google Inc. is making significant inroads in better understanding of daily health and wellbeing habits to reach out to the global healthcare concerns in the best possible way. Key players: Operating in the deep learning in drug discovery and diagnostics market include • Google Inc., • IBM Corp., • Microsoft Corporation, • Qualcomm Technologies Inc., • General Vision Inc., • Insilico Medicine Inc., • NVIDIA Corporation, • Zebra Medical Vision Inc., • Enlitic, • Ginger.io, • MedAware • Lumiata. Request For Customization @ https://www.coherentmarketinsights.com/insight/request- customization/189 Deep Learning in Drug Discovery and Diagnostics Market Taxonomy: By Application •Drug Discovery •Diagnostics •Forensic Interventions •Others By End-use Industry