IOMED recently hosted a webinar titled "Transforming Patient Recruitment with AI – The Power of Unstructured Data." The session focused on how IOMED’s Data Space Platform facilitates feasibility assessments and optimizes patient recruitment through AI-driven data activation.

During the webinar, Rohit Mistry, Gabriel Maeztu, and Mats Sundgren demonstrated how the Data Space Platform enables researchers to efficiently assess the availability of eligible patients for clinical trials. By leveraging AI and Natural Language Processing (NLP), the platform structures and activates unstructured clinical data, making feasibility studies more precise and allowing for seamless data orders to support patient recruitment

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"AI and NLP are revolutionizing the way clinical research teams approach feasibility and patient recruitment," said Rohit Mistry, CEO of IOMED.

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With continuous advancements in AI-driven healthcare solutions, IOMED remains committed to supporting research teams and industry partners with cutting-edge technology that enhances clinical trial feasibility and accelerates patient recruitment.

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