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Known Medicine

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Known Medicine

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Known Medicine is a biotechnology company dedicated to revolutionizing cancer treatment through personalized medicine. By integrating advanced 3D cell culture technology with machine learning, Known Medicine creates patient-specific micro-tumors to predict individual responses to various cancer therapies. This approach aims to eliminate the traditional trial-and-error method in oncology, offering tailored treatment plans that enhance efficacy and reduce unnecessary side effects. Key Features and Functionality: - 3D Micro-Tumor Models: Utilizes proprietary 3D organoid models, known as M3DUSA™ Models, to replicate the tumor microenvironment accurately. - High-Content Imaging and Analysis: Employs machine learning-based image analysis pipelines, such as IRIS™ Analysis, to assess drug sensitivity and cellular responses. - Comprehensive Data Integration: Combines functional outcomes with high-dimensional -omics datasets to identify predictive biomarkers and potential new drug candidates. - Collaborative Platform: Engages multidisciplinary teams, including scientists and software engineers, to design datasets and interpret results collaboratively. Primary Value and Problem Solved: Known Medicine addresses the critical challenge of selecting effective cancer treatments by providing a predictive engine that captures patient-to-patient variability. This personalized approach enables oncologists to make informed decisions, ensuring patients receive the most effective therapies tailored to their unique tumor profiles. By shifting experimentation from patients to the laboratory, Known Medicine enhances treatment precision, reduces adverse effects, and accelerates the development of new cancer drugs.

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Salt Lake City, US

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What is Known Medicine?

Known Medicine is a biotechnology company dedicated to revolutionizing cancer treatment through personalized medicine. By integrating advanced 3D cell culture technology with machine learning, Known Medicine creates patient-specific micro-tumors to predict individual responses to various cancer therapies. This approach aims to eliminate the traditional trial-and-error method in oncology, offering tailored treatment plans that enhance efficacy and reduce unnecessary side effects.

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