Medical Affairs Teams Gain a Strategic Advantage With Unified Analytics and Visualization Across All Areas of Scientific Engagement
Sorcero, the leading Life Sciences Language Intelligence Platform, announced the launch of their Clarity product. For the first time, Clarity provides medical affairs teams with a unified view across all areas of scientific engagement. Life Sciences leaders have needed a strategic understanding of their scientific impact for a long time. Until Clarity, they were not able to centralize their strategy around evidence generation, publication planning, medical information, medical insights, and HEOR.
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With Sorcero’s AI-powered analytics, they can track and visualize medical content at scale. This includes literature, clinical trials, congresses, social media, CRM data, medical insights, and internal data lakes. Clarity surfaces emerging evidence, trends and drives better strategic decisions across the entire product lifecycle.
Medical affairs is becoming the third pillar of Life Sciences. Driven by demand for evidence-based and precision medicine, they must generate and disseminate evidence from more data sources than ever before, all while medical content is growing in both complexity and scale at a 36% CAGR. Clarity makes it possible to keep up and stay ahead, turning this deluge of information from their greatest challenge into their greatest asset. Clarity analyzes scientific and medical content at superhuman speeds to extract the most valuable evidence and power patient-centric decision making.
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“At Sorcero, we are thrilled to support better decision making in support of improving patient outcomes,” said Sorcero CEO Dipanwita Das. “We built Clarity to serve the need we heard loud and clear from the hundreds of interviews we conducted with medical affairs leaders. Their first ask was a unified view and analytics to drive actionable health outcomes informed by medical advances.”
Clarity provides unprecedented accuracy and scale in extracting knowledge from life sciences content. Sorcero recently published real-world results from their AI hitting 96.1% NPV, the first life sciences language model to achieve regulatory-grade performance on medical literature.
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