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|January 2, 2015
- Pharmaceutical Technology-01-02-2015
- Volume 39
- Issue 1
Travtec Pinhole Detector Increases Safety
Travtec’s Lixis MH Pinhole Detector for aluminum foil blister packs is designed to detect small pinholes and pores on Alu-Alu blister packs produced by cold forming. The detector is equipped with fail-safe technology; any malfunction in the system will cause the machine to stop and reject the blister.
To eliminate the risk of non-airtight sealing, infrared radiation is used to identify holes as small as 25 microns (0.001 inch). The detection system can inspect multiple areas of the foil at once, increasing efficiency and safety. Designed under cGMP requirements, the fully automatic, compact, and adjustable detector can be installed on any blister machine.
Travtec Limited
Article DetailsPharmaceutical Technology
Vol. No. 1
Page: 14
Articles in this issue
almost 12 years ago
Value-Based Healthcare in the: United Kingdomalmost 12 years ago
Mitigating Risk for Single-Use Assemblies in Sterile Fillingalmost 12 years ago
Building a Barrier in Solid-Dosage Drug Packagingalmost 12 years ago
Using Tocophersolan for Drug Deliveryalmost 12 years ago
Industry Expert Q&A with Fred Miesowiczalmost 12 years ago
Innovative Excipients in Solid-Dosage Manufacturingalmost 12 years ago
Great Expectations from New European Commissionalmost 12 years ago
Analyzing Protein Aggregation in Biopharmaceuticalsalmost 12 years ago
Ross Charging Hopper Increases Efficiencyalmost 12 years ago
Standards Organizations UpdateRelated 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
Why BMS, Roche, and LGM Pharma Outsourced Key Capabilities
5