RoStar service coverage across China.
Pharma Research
RoStar brings Vibe Research into physicians' daily research work.
Roche Pharma and SenseCare explore a medical research workflow where physicians raise the question, AI handles evidence work, and clinical insight moves faster toward research output.
Case Summary
Roche Pharma
RoStar is SenseCare's pharma-facing medical research assistant, created with Roche Pharma to support literature interpretation, knowledge organization, research planning and professional content expression. It helps physicians spend less time on repetitive information work and more time on clinical questions, academic judgment and innovation.
Physicians supported by the research workflow.
Cumulative research time saved across the platform.
RoStar originated from Roche Pharma's collaboration with SenseCare and partners around AI-enabled medical innovation.
The workflow covers literature reading, research direction organization, plan design support and research expression.
RoStar has reached nearly 1,000 tertiary hospitals and close to 10,000 physicians.
The platform has helped save more than 700,000 hours of research time, up from 20,000 hours at the beginning of 2026.
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Case Study: Collaboration between Roche Pharmaceuticals and SenseCare
AI enters the medical innovation workflow
Medical innovation begins in real clinical settings. A special case, a difference in treatment response, or a set of real-world data can all become the starting point for progress. Yet moving from observation to research usually requires literature retrieval, evidence analysis, study design, data organization and scientific expression.
RoStar was created for that middle layer of work. It helps physicians move from a clinical question to organized evidence and research output, reducing the time spent on repetitive information processing and giving physicians more room to focus on clinical judgment.
From Vibe Coding to Vibe Research
RoStar brings the logic of Vibe Coding into medical research. In this model, professionals do not need to become technical experts before they can use AI productively. They describe the question, express the need and judge the result, while AI helps retrieve information, integrate knowledge, design a path forward and prepare the output.
For medicine, this means physicians can keep their attention on the problems that matter: why a clinical phenomenon happens, whether a research direction is valuable and how evidence should shape the next step.
RoStar 2.0 and professional content creation
The collaboration has expanded from research support into daily professional work. RoStar 2.0 strengthens literature interpretation, knowledge organization and research-idea development. Shenbi Xiaoluo focuses on professional medical content expression, including academic presentations and medical education content.
Physicians provide the core logic and professional judgment. AI helps transform that logic into a more structured, efficient and presentable form, improving the speed of medical knowledge communication and academic output.
A new academic service model for pharma
RoStar signals a different role for pharmaceutical companies in physician engagement. Instead of only distributing information, pharma partners can provide tools that help physicians explore questions, organize evidence and convert real-world insight into research value.
For SenseCare, the case also shows why medical AI must understand physician workflow. The long-term value is not in a technology demonstration, but in whether AI becomes useful in the daily work of doctors.
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