Stem cells and other regenerative medicine products offer considerable benefits to patients as well as potential financial rewards for companies. At the same time, cell-based therapies present challenges to regulators because, in many cases, they involve withdrawing cells from a patient’s bone marrow, blood or adipose tissue, growing cells in vitro with minimal to extensive manipulation, and then administering in some form the expanded (and possibly modified) cells population back into the patient.
A recent survey conducted by the Economist Intelligence Unit highlights the new products that the biopharma industry identifies as most disruptive to their growth strategies in the next five years. The findings raise a challenge to biopharma to go beyond barriers to bringing new products to market by presenting ways to overcome these hurdles and make novel therapies a reality.
Recruiting patients and retaining their participation in a clinical trial remain the biggest challenges faced by pharmaceutical companies when developing new medicines. For a patient, participation in a clinical trial can be stressful and burdensome, resulting in one in four patients dropping out of a clinical trial prior to completion. With sponsors facing tight-timelines, increased regulatory scrutiny and spiralling budgets the desire to address these challenges has never been more prominent.
Batch processes are common in pharmaceutical, biopharmaceutical, food, beverage and chemical industries. When building models across various batches one may often encounter varying batch lengths and the batches may start from various relative points of time in a chemical context. Batch Modeling is important for process development and understanding the process for batch similarity and why some batches give a product quality outside the specifications.
Efficacy, safety, immunogenicity and manufacturability issues play a large role in the high attrition rate of biopharmaceutical candidates each year. To help reduce the risk of failure, tools to address the developability of preclinical candidates have been established.