Life sciences companies—pharmaceutical, biotech, and medical device—operate under strict regulations and must validate the consistency of their products and processes.
Industrialized AI refers to taking artificial intelligence (AI) technologies beyond experimental stages and integrating them at scale within an organization’s core operations.
In Life Sciences companies, AI is being used for tasks such as automating manufacturing processes, optimizing clinical trials, analyzing patient data and several other critical applications for the pharmaceutical, biotechnology and medical products industries.
Life Sciences companies, particularly biopharmaceutical and medical product companies, are highly regulated and need to prove that their product and its manufacturing and development processes are robust.
Patient safety is impacted by the integrity of critical records, data, and decisions, as well as aspects related to the physical attributes of the products.
The integration of Artificial Intelligence (AI) into the Life Sciences industry brings innovative potential, from drug discovery to personalized medicine. However, incorporating AI into GxP (Good Practice) environments, which are governed by regulations to ensure product safety and efficacy, introduces additional challenges in AI validation.
Laboratory Information Management Systems (LIMS) are specialized Quality Control systems designed to collect, manage, and streamline the flow of analytical data in laboratories. They handle tasks such as the approval of analyses, ensuring the traceability of samples and reagents, and maintaining records for equipment maintenance and other critical laboratory operations.
Principles for system design and operation – medical devices
UDI is based on a sequence of numeric or alphanumeric characters created using worldwide accepted device identification and coding standards. Allows unequivocal identification of a device on the market.
ISO 13485 is a globally recognized set of standard quality management system (QMS) requirements applicable to companies engaged in the design, production, installation, servicing, and manufacturing of medical devices.
Welcome to our blog! In this session, we will explore the vital role of suppliers and their collaboration with regulated companies, as well as delve into the world of third-party validation processes.
A startup's path to growth involves numerous obstacles and stages, particularly for those operating in regulated markets such as Medical Devices and Health Tech.
Validation is a documented process to prove that equipment, systems, spreadsheets, processes, and procedures work safely and efficiently to protect patients and clients, and to ensure product quality and data integrity.
Many Life Science companies (Pharmaceuticals, Medical Devices, Biologics, and Diagnostics) use the SAP® platform as ERP (Enterprise Resource Planning) to manage their data and processes in an integrated way.
As we know, nowadays companies need to have a clear data overview to remain competitive, whether for their projections, risk assessment, and/or opportunities.
The integrity of critical data in Life Sciences industries is an issue that, if taken with the care deserved and required by regulatory agencies, keeps the company aligned with Good Manufacturing Practices and avoids issues detrimental to the production process and business.
The need for remote work increased exponentially during the pandemic. Many industries had already embraced digitalization, but the pandemic forced companies and professionals to adapt more quickly.
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