Oncology clinical trials often face delays due to difficulties in identifying and recruiting eligible patients. Traditional recruitment methods are inefficient, and a significant percentage of patients are unaware of clinical trial opportunities, leading to slow enrollment and delayed market access for new therapies. Hospitals also lack efficient processes to identify and refer suitable candidates.

Iduneo offers an AI-powered platform designed to accelerate oncology clinical trial recruitment by improving patient identification and qualification. The platform employs a dual approach, directly engaging patients at home and integrating trial options into hospital clinical workflows. By automating patient screening and referral processes, Iduneo streamlines the entire patient journey, from initial identification to qualification. The system guides oncologists, highlighting necessary actions to determine the best trial fit for each patient, and enables decentralized qualification for individual trials, incorporating non-research sites into clinical research advancement.

AI-driven patient matching using an intelligent agent for data extraction, pre-selection, and detailed scoring.

Integration into hospital clinical workflows to streamline patient identification and referral.

Direct-to-patient engagement to increase awareness of clinical trial options.

AI-guidance for patient qualification, simplifying the process for clinicians.

Hybrid solution combining AI-matching with patient-centered services to scale patient recruitment.

Iduneo targets pharmaceutical companies, hospitals, and oncology practices seeking to improve patient enrollment in clinical trials, as well as patients looking for access to advanced cancer therapies.