In clinical trials, a direct-to-patient model allows for drug therapies to be delivered and administered in the patient’s home and/or biological samples to be taken and uplifted from the patient’s home. Depending on the complexity of the trial protocols, patients may take medicines themselves, or rely on a homecare nurse or caregiver for clinical support. Because the direct-to-patient model allows the patient to participate in the clinical trial from home, it reduces the need for them to travel to the investigator site, increasing the likelihood they will agree to participate and decreasing the possibility that they will drop out of the study.
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.