Turbo Analytics: Applications of Big Data and HPC in Drug Discovery

Joshi, Rajendra; Sonavane, Uddhavesh; Jani, Vinod; Saxena, Amit; Koulgi, Shruti; Uppuladinne, Mallikarjunachari; Sharma, Nitin; Malviya, Sandeep; Ramakrishnan, E P; Gavane, Vivek; Bayaskar, Avinash; Mahajan, Rashmi; Pandey, Sudhir K.

doi:10.1007/978-3-030-05282-9_11

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Modern-day Fabric Of Pharmaceutical Industry1

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2020

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“…Even though pharmaceutical companies relatively survived the recession phase of the early twenty-first century, a significant amount of budget cuts in R&D and new drug development pipeline was evident [26]. Post-recession, in the course of recovery, the collaborative efforts of the pharmaceutical and IT industry have brought state-of-the-art analytical tools that can pull multifaceted data in large quantities and predict the patients' needs and market trends [27]. This has enabled the pharmaceutical companies to reorganize the drug discovery and development programs in a more efficient and cost-effective way.…”

Section: Modern-day Fabric Of Pharmaceutical Industrymentioning

confidence: 99%