During the ISPOR Europe 2024 Conference, CapeStart, Inc. launched MadeAi, a platform powered by generative AI, designed to significantly optimize the consolidation of clinical data. Its first application, MadeAi-LR, redefines the efficiency of literature reviews, assisting systematic literature reviews (SLRs), clinical evidence reports (CERs), meta-research, and more.
Traditionally, literature review processes have been labor-intensive and time-consuming, detracting professionals from more valuable tasks. By leveraging expertise from CapeStart’s AI specialists, MadeAi-LR effectively halves review time, achieving up to 90% accuracy in title and abstract screening, and over 80% in data extraction, including summarizing both single and multiple articles.
MadeAi-LR brings centralization and transparency, developed in collaboration with leading pharmaceutical firms to allow teams to tackle complex tasks efficiently. This innovation is bolstering productivity, enhancing regulatory submissions, refining strategies, and supporting detailed research outputs. Literature reviews traditionally taking hundreds of hours are now expedited, enabling pharmaceutical, biotech, and medical device companies to conserve resources and stimulate innovation.
“Researchers and life science experts should focus on health breakthroughs, not repetitive tasks easily handled by precise GenAI technology,” stated Gaugarin Oliver, CEO of CapeStart. “MadeAi-LR users are achieving more in less time, facilitating growth, scalability, and providing quick returns on investment. CapeStart is committed to enhancing the MadeAi platform, delivering continuous value to life sciences.”
Built on the GenAI-enabled framework of MadeAi, this platform underpins CapeStart’s AI offerings. Future expansions will support areas such as pharmacovigilance, clinical content creation, and global value dossier compilation.
With nearly a decade of AI development, clinical insights, and life sciences expertise backing it, MadeAi-LR is compliant with FDA and EMA standards for SLR submissions. The platform offers a centralized repository for comprehensive workflow visibility and maintains process transparency. Coupled with human-in-the-loop (HITL) validation, MadeAi-LR transforms complex tasks into accurate, productive outcomes.
MadeAi-LR’s extensive features direct resources away from literature tasks towards more analytical duties:
– **Collaboration hub** – Provides an end-to-end centralized platform visibility to oversee the review process.
– **Advanced search capabilities** – Merges multiple databases (e.g., PubMed) into one, enhancing the researcher experience.
– **AI-enhanced screening and summarization** – Uses a research-driven framework to quickly sift through and analyze relevant information.
– **Data extraction** – Offers semi-automated data retrieval with highlighted sources for quicker review.
– **Prediction confidence scores** – Provides detailed explanation behind article inclusion or exclusion, supporting expert validation.
– **Integrated text management** – Purchases and manages texts through RightFind, eliminating the need for external searches.
– **Compliance verification** – Features templates for PRISMA charts, ensuring finding credibility.
– **Updated reviews** – Keeps literature assessments current with automatic keyword monitoring.
– **AI Services expertise** – Guides clients for optimal platform use benefits.
– **Expert and writing support** – Optional resources for overcoming internal resource shortages.
Recognition in the 21st Annual International Business Awards, MadeAi-LR received a Stevie award for its innovative approach in AI/ML for Healthcare within the Business Technology category.
CapeStart empowers organizations to excel in the AI economy, offering GenAI life science platforms to enhance efficiency, preserving necessary human oversight. Their dedicated teams deliver specialized data annotation, model development, and software services for sectors including healthcare, finance, and retail.