Vibha Jawa, PhD, chief scientific officer at EpiVax, explains why the need for animal studies varies by modality and what it takes for organ-on-chip and other human-relevant models to replace these studies in IND-enabling toxicology work.
|Articles|July 2, 2014
- Pharmaceutical Technology-07-02-2014
- Volume 38
- Issue 7
Environmental Monitoring System Improves Efficiency
Author(s)Melanie Sena
Environmental Monitoring System Improves Efficiency
The Growth Direct System from Rapid Micro Biosystems i s designed to automate the incubation, detection, enumeration, and reporting steps for environmental monitoring and bioburden applications in pharmaceutical quality control laboratories. The technology is based on the detection of the natural auto-fluorescence of microorganisms, which requires no additional reagents to detect growing colonies. According to the company, the system can be located near manufacturing facilites, which increases efficiency and reduces the travel risk with samples.
Articles in this issue
over 12 years ago
Trends in Manufacturing and Equipmentover 12 years ago
The Mainstreaming of Continuous Flow API Synthesisover 12 years ago
Health Systems Raise the Bar on Reimbursing New Drugsover 12 years ago
Data Integrityover 12 years ago
Automating Online Sampling of Bioprocessesover 12 years ago
Sieve Shakers Ensure Reliabilityover 12 years ago
Laboratory Filter-Dryer Enables Scalabilityover 12 years ago
Sterilization of Blow-Fill-Seal Equipment for Aseptic FillingRelated to this article
Sanjay Konagurthu, PhD, senior director of Science and Innovation at Thermo Fisher Scientific, explains what teams need to do to ensure the usefulness of AI and what strides have been made with AI in regulatory submissions.
Pauric Bannigan, Intrepid Labs, explains where AI speeds formulation decisions, why data is the bottleneck, and how active learning trains models with far less data.
The new initiative aims to apply traceable AI and science to expand care worldwide by translating discovery into tools that accelerate drug development.
Sanjay Konagurthu, PhD, senior director, Science and Innovation at Thermo Fisher Scientific, provides an update on the progress of AI and machine learning used in drug delivery.
Stephanie Johnson, Pfizer, explains how off-platform triggers, single-owner risk registers, and traceable prior knowledge keep protein formulation programs on track.
Stephanie Johnson, Pfizer, discusses how platform formulations moved 2 Pfizer protein programs to IND in 8 months by redistributing, not removing risk.
Shubhajit Paul, a senior research fellow in Boehringer Ingelheim’s Department of Material Analytical Sciences, spoke with PharmTech at AAPS PharmSci 360 to explain how tabletability prediction can be improved for roller-compacted formulations.
Trending on Pharmaceutical Technology
1
Pharma Leaders Weigh in On AI's Measurable Results In 2026
2
Formulation and Evaluation of a Sustainable Analgesic Cream Utilizing Renewable Bio-Based Ingredients and Green Chemistry Design Principles
3
Manufacturing Intelligence: How AI Poisoning Hides in Plain Sight
4
Humanitas Global Health Launces at AAPS PharmSci 360 Event
5