Synthetic data in oncology is transforming how researchers and developers approach real-world evidence. They often need this evidence to test hypotheses, predict outcomes and develop algorithms. But privacy constraints and access related to patient data can create delays and lengthen project timelines. Oncology drug researchers and developers have recently begun using synthetic data in oncology…

AI algorithms offer a myriad of advantages for clinical trials. AI techniques can, for instance, support patient enrollment and site selection, improve data quality and enhance patient outcomes. AI algorithms — combined with an effective digital infrastructure — can also help aggregate and manage clinical trial data in real time, as Deloitte has noted. Last…

The journey to developing a successful drug, theoretically, may appear linear: you discover the right drug, find the suitable patient and administer it at the right time. The reality, however, often deviates from this straightforward path. Aligning these three variables remains notoriously difficult, often leading to elongated timelines strewn with failures, sometimes extending over a…