Pub-Med Researcher
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Shubham Lalwani
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Current analytics tools are convoluted, making it difficult for researchers, especially in healthcare, to efficiently answer high-value questions like: “What’s new in Multiple Sclerosis research?” “Who are the top key opinion leaders (KOLs)?” “What are the emerging drug/biomarker trends?” AI should be the front end—removing technical barriers, surfacing relevant insights from fragmented, multi-source data, and enabling natural-language engagement with healthcare datasets. Most domain experts lack the coding or data wrangling skills for deep insights. If the AI can answer precise medical/research questions in minutes instead of weeks, it radically streamlines high-impact science.
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