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.
Feature|Videos|April 30, 2024
Lonza's Commitment to the Future
Author(s)Lonza
Meeta B. Kratz (Global Vice President, Product Management & Marketing, Lonza Capsule and Health Ingredients) talks about Lonza's future and how that works in tandem to meet client needs.
Meeta B. Kratz sat down with Pharmaceutical Technology to highlight how Lonza is looking ahead. Learn more about:
- How Lonza is optimizing their network to meet the evolving needs of customers while minimizing environmental impact.
- The strive to push the boundaries and develop new solutions that address the evolving needs of the industry.
- The commitment to providing customers with consistent supply, exceptional quality, and unparalleled service, no matter the challenge.
Related 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