Recruiting the right patients for clinical trials has long been one of the most significant hurdles in the clinical research process. Despite the abundance of potential participants, many trials fail to meet their enrollment targets on time, leading to costly delays...
Patient retention is a major challenge in clinical trials. High dropout rates not only increase costs but can also delay results, complicate data analysis, and even jeopardize the success of a study. To address this, artificial intelligence (AI) is emerging as a...
In clinical research, the use of artificial intelligence (AI) is transforming patient recruitment, especially for underrepresented populations. By harnessing the power of AI, clinical trial recruitment can become more inclusive, helping researchers identify and engage...
Patient-centered clinical trials place the participant at the heart of the study process. It seems crazy to think that this has not always been the case – after all, without patients there can be no clinical trials, no data to comb through, and no new discoveries....
In our previous blogs, we’ve written a lot about how artificial intelligence (AI) can, and already is, transforming patient recruitment for clinical trials. And it’s true – that’s why we’ve built the BEKplatform. But while advanced AI technologies help identify...
The journey from discovery to delivery of a new drug is long and complex, often spanning many years and costing millions of dollars. Patient recruitment and enrollment weigh heavily in determining how quickly a study can get started, and the success of a clinical...
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