The Guardian Data Protection
JUNE 12, 2021
It is easy to mistrust big data collection, but for health the benefits are well established Kenan Malik entered an argument with many facets (“ Tell me how you’ll use my medical data. They are a major resource to ensure that pharmaceuticals are used safely and effectively. Only then might I sign up ”, Comment).
Security Affairs
DECEMBER 10, 2020
The threat actors used lures consisted of documents about Sinopharm International Corporation, a pharmaceutical company involved in the development of a COVID-19 vaccine and that is currently going through phase three clinical trials. The malware connects to the C2 through HTTP POST requests.
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IBM Big Data Hub
AUGUST 7, 2023
Despite advancements in the pharmaceutical industry and biomedical research, delivering drugs to market is still a complex process with tremendous opportunity for improvement. The ability to seize these advantages is one way that pharmaceutical companies may be able to gain sizable competitive edge.
DLA Piper Privacy Matters
APRIL 8, 2019
This fragmentation has, unsurprisingly, lead to a heavy administrative burden for the secondary users of social and health care data by parallel and slow licence procedures with various authorities.
HL Chronicle of Data Protection
JUNE 13, 2019
The scope of application of the Data Security Measures. The scope of application of the Data Security Measures. The data covered by the Data Security Measures includes personal data and important data. Requirements for personal data collection statements.
Reltio
MAY 16, 2023
These platforms help manage data quality challenges in real-time ensuring that business users have the accurate, up-to-date information they need for sound decision making. In this blog post, we explore the significance of data quality in the pharmaceutical industry and explain how a modern MDM platform serves to address these challenges.
IBM Big Data Hub
FEBRUARY 14, 2024
Using historical data of production, generative AI can predict or locate equipment failures in real time—and then suggest equipment adjustments, repair options or needed spare parts. A manual approach to development and testing could lead to calculation errors and require a huge volume of resources.
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