HIT Consultant
JANUARY 19, 2022
Each day life science companies respond to numerous medical information inquires – many of which are similar in nature or can be simply addressed. Monitoring of adverse events (AEs) and product quality control (PQC) are still required. For global life science companies, how are various languages supported?
HIT Consultant
MAY 23, 2022
However, quality control of these instruments is generally done manually. That is certainly true when it comes to life science laboratories. Prior to joining Booz Allen, he was a professor and associate head of biological sciences at Rensselaer Polytechnic Institute. temperature, pH, flow rate).
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HIT Consultant
APRIL 17, 2024
Originating from EPFL’s Laboratory of Molecular Physical Chemistry, their technology is already revolutionizing quality control and R&D in the food and agritech industries. Currently focused on platform scalability, Isospec is introducing automation and machine learning tools for enhanced data analysis.
HIT Consultant
SEPTEMBER 1, 2023
Step 4: Improving Safety and Overall Patient Care Apart from active patient and site monitoring, in pharmacovigilance (the process and science of monitoring the safety of medicines), large numbers of structured and unstructured data need processing to guarantee quality control and oversight.
HIT Consultant
SEPTEMBER 20, 2022
Pretzel’s platform encompasses three primary technologies to modulate mitochondrial function: Genome correction, genome expression modulation, and mitochondrial quality control. Finally, mitochondrial quality control will be targeted using small molecules that modulate mitochondria’s built-in quality control system.
HIT Consultant
DECEMBER 19, 2023
This will speed up data collection and quality control processes. Companies are increasingly exploring generative AI applications for data mining, template creation, quality control, site communication and clinical trial operation guides.
Triage Health Law
SEPTEMBER 25, 2023
Significant attention is given to technical evaluations, system inspections, monitoring of adverse events, and the establishment of product recall requirements to ensure robust quality control throughout the entire life cycle of AI medical devices.
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