Page 110 - AI for Good Innovate for Impact
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AI for Good Innovate for Impact



                      2      Use Case Description


                      2�1     Description 


                      Clinical trials often suffer from inefficiencies due to manual processes and fragmented CRO
                      selection. MEDIAIPLUS addresses this by offering AI-based solutions to automate trial design and
                      optimize CRO matching, reducing delays and improving outcomes. Its two key engines (MediC
                      and FiCRO) provide advanced inferences such as protocol recommendations, recruitment
                      analysis, and CRO suggestions. These capabilities support real-time decision-making across
                      feasibility analysis, sponsor–CRO matching, and trend identification. As a result, the platform
                      helps shorten planning cycles, lower costs, and improve trial alignment and success rates.

                      Use Case Status: Pilot deployments are currently underway with multiple biotech and medical
                      device companies. Blisstech serves as a key validation partner under the AX Project, while
                      discussions with other international CROs and sponsors are ongoing.

                      Partners: Biotech, pharmaceutical company, medical device company, CROs

                      2�2     Benefits of use case

                      By accelerating clinical trial design and reducing costs, MEDIAIPLUS improves timely
                      access to innovative treatments and supports R&D efficiency in therapeutics. nearly-stage
                      deployments, MEDIAIPLUS improved clinical trial preparation by standardizing protocol
                      design through MediC and automating CRO matching with FiCRO. These combined efforts
                      increased overall trial success rates by 25%, and reduced the time required to collect and
                      align clinical trial data by 85%—directly supporting faster patient access to critical therapies.
                      MEDIAIPLUS enhances biotech R&D capacity by integrating AI into both protocol design
                      and CRO operations.Through its scalable AI platforms—MediC for trial protocol structuring
                      and FiCRO for CRO matching—the company has enabled automation in clinical planning
                      workflows. This innovation has resulted in a 10% reduction in trial outsourcing costs by matching
                      sponsors with CROs that best align with their therapeutic and regional needs, strengthening
                      the technological infrastructure of trial preparation.

                      MEDIAIPLUS fosters cross-border collaboration in clinical innovation by connecting
                      trial sponsors, CROs, and research institutions through a unified AI-driven ecosystem.
                      The platform serves as a technical enabler for interoperable workflows, data integration, and
                      decision support across regions. Ongoing engagements with biotech startups and research
                      hubs in Korea and Southeast Asia highlight its role in scaling AI applications for clinical research
                      in both emerging and developed markets.


                      2�3     Future Work

                      We are advancing our platform with key enhancements focused on automation, precision, and
                      integration. A major initiative includes leveraging large language models (LLMs) to automate
                      protocol generation, streamlining trial design and reducing manual effort. The CRO scoring
                      system will also be upgraded with predictive models for more accurate, data-driven evaluations.
                      To support these developments, FiCRO requires access to broader clinical trial datasets,
                      scalable cloud infrastructure, and improved AI explainability tools to ensure transparency and
                      user trust. Expansion efforts include forming partnerships with global CRO networks, AI research
                      labs, and regulatory agencies. These collaborations will enable international deployment and



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