Introduction Artificial Intelligence is redefining healthcare and life sciences. From improving patient care to accelerating drug discovery, AI is proving to be more than just a technological trend; it’s a critical enabler of innovation and efficiency. In this article, we explore real-world AI applications in clinical studies, pharmacovigilance, diagnostics, and medical operations. These use cases…
Traditional literature reviews are slow, expensive, and resource-heavy. MadeAi™ makes literature reviews fast and efficient with MadeAi-LR. MadeAi-LR harnesses GenAI to streamline evidence synthesis, accelerating timelines while maintaining rigor and transparency. With both self-service and full-service options, MadeAi-LR helps life sciences teams cut workload, reduce costs, and deliver high-quality results faster. Download Unlock the ROI…
As AI rapidly reshapes the evidence landscape, health technology assessment (HTA) bodies are beginning to define clear expectations for its use in submissions. At CapeStart, we work closely with life sciences clients navigating these changes—especially those integrating GenAI into literature reviews, RWE generation, economic modeling, Joint Clinical Assessment (JCA) support, Clinical Evaluation Reports (CERs), Patient…
Newest version of MadeAi™ for content synthesis hailed by judges as “a significant leap in applying Generative AI to the life sciences” Cambridge, MA, August 25, 2025—CapeStart, an AI solutions and services firm, announced that its CapeStart MadeAi™ GenAI Platform for Life Sciences Content Synthesis was a winner of a Stevie® Award in The…
Missed our live session? Get the recording now! On July 11, 2025, CapeStart hosted a 30-minute webinar comparing three leading large language models—Gemini 2.5 Pro, GPT-o3, and Claude Sonnet 4—to see which performs best for screening, reasoning, and summarization in life sciences workflows. Designed for both technical leads and non-technical decision-makers, the session shared real-world…
An average project size with 2,500 initial hits was considered for this ROI calculation.
Phase or Literature Review Process
Traditional Approach
MadeAi-LR
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