Imaging Lab will provide new answers in four areas that determine the success of clinical trials: selection of patients included in trials, especially inclusion of patients diagnosed at early stages of disease thanks to AI technologies, prediction of response to therapy, measurement of disease progression, and evaluation of the safety of drug candidates. The goal is to optimize development plans, including facilitating Go/No-Go decisions to increase the success rate of clinical trials. This rate is especially low in oncology, generating an average development cost of $2.8 billion to take a new molecule to market, compared with an average of $1 billion per new molecule brought to market for other therapeutic areas 1.

AiCure and OncoBay Clinical have announced a partnership to provide oncology sponsors with scalable, AI-powered insights. A subsidiary of the Moffitt Cancer Center, OncoBay will make AiCure's proprietary AI platform available for oncology trials, aiming to provide sponsors and sites with a more holistic understanding of patient health and site optimization. The oncology drug pipeline has grown by 63% since 2013, but the average success rate of oncology drugs is only 3.4%. To address this discrepancy and the unique challenges of oncology trials, particularly given the complex treatment regimens, AiCure and OncoBay aim to improve patient support and trial retention, while also providing sponsors and sites with greater visibility into patient behavior. Through AiCure's patient engagement solution, Patient Connect, oncology sites can remotely monitor patients and use real-time communication tools to guide them through treatment protocols, including which medication to take and when, as well as allow direct access to a clinician.