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The Use of Big Data in Pharmaceutical Marketing: Opportunities and Challenges

Pharma Marketing Network

Big data has become an increasingly important tool for businesses across various industries, and the pharmaceutical industry is no exception. However, the use of big data in pharmaceutical marketing also poses significant challenges that must be considered. References 1. 8 (2018) 2. 1 (2016) 3.

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The Use of Big Data in Pharmaceutical Marketing: Opportunities and Challenges

Pharma Marketing Network

Big data has become an increasingly important tool for businesses across various industries, and the pharmaceutical industry is no exception. However, the use of big data in pharmaceutical marketing also poses significant challenges that must be considered. References 1. 8 (2018) 2. 1 (2016) 3.

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Could Smartphone and Blockchain Technology Fight Against Food Fraud?

XTalks

The device will be able to detect if a product is organic or not and whether it is safe. The more people test food, the more data will become available. Other researchers are also testing big data algorithms to see how well they can predict food fraud. Other hand-held testing technologies are also being developed.

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Integrated evidence generation 2.0: A strategy for every stakeholder

pharmaphorum

Future advances in personalized medicine, harnessing the power of big data, artificial intelligence, machine learning, and personal digital technology to deliver truly bespoke and personalized solutions for improving patient outcomes are likely to shake the market further.

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Transforming Medical Affairs with fact-based solutions and improved compliance

pharmaphorum

In today’s competitive, highly regulated environment, product success is dependent upon data and fact-based decision making. This webinar will explore the challenges Medical Affairs teams have finding a repeatable, objective and compliant solution to identify and manage their strategic programs.

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EMA pilot will see if clinical trial data should be digested ‘raw’

pharmaphorum

A pilot study has been launched by the EMA to see whether it is helpful for regulators to look at the ‘raw data’ from clinical trials submitted in support of new marketing application along with the usual structured analyses from sponsors. It may also help the regulator to define target treatment populations better.

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Deep Learning-based Interoperability: Advanced Neural Networks Mimicking the Human Brain

Roots Analysis

In addition to the advances in processing power of computing machines and the development of smarter algorithms, big data is considered to be one of the key drivers of growth in this segment. Big data holds great promise in terms of its potential applications in the healthcare industry as mentioned below.