The following is the second in a three-part series on the impact of AI on the product development life cycle of drugs from discovery, to clinical trials and market access.
The success of clinical trials relies heavily on having enough of the right patients willing and able to participate. Unfortunately, achieving the levels of recruitment necessary to conduct successful trials is difficult – particularly in cancer and rare diseases trials.
One recent survey revealed that only one in three cancer patients were likely to enroll in a clinical trial. Less than half of those surveyed viewed...
The following is the first in a three-part series on the impact of AI on the product development life cycle of drugs from discovery, to clinical trials and market access.
Biopharma companies and government funded research projects have produced stellar results over the years: from lifesaving drugs and to life improving therapies that benefit millions of patients. But these discoveries often come at a substantial financial cost and take many years to bring to market. In fact, the cost of bringing one drug from discovery to approval is currently estimated at between $1.8 and $3.0 billion.[1]
In 2017, the American Cancer Society awarded $112 million for cancer research.[1] The National Institute of Health FY17 budget for cancer research was nearly $6 billion.[2]
Pharma companies are pouring billions of R&D dollars into developing new treatments for cancer and are looking for the best ways to maximize those investments. One of the, most effective research tools available and one increasingly leveraged by biopharma is artificial intelligence (AI), used to help unlock the complex mechanisms of cancer.
Oncology is an enormously complicated field, so it’s no surprise that...
