
Extract complex homogeneous regulatory-grade datasets composed of clinical data, images, biology..11-50 Employees
- Early StageStartup in initial stages
Medexprim careers
Medexprim has built a collaborative relationship with hospitals.
To develop new treatments, select the right patients and evaluate treatment response, Research teams need a large amount of Real-World Data. We act as a go-between between the two worlds to enable collaboration.
We aim to build multi-centric and multi-omic data lakes by disease (e.g. rare diseases, lung, breast, colorectal, melanoma, leukemia, prostate cancers).
We see data lakes as living organisms that will be continuously fed and enriched with new data, allowing for biostatistics and sophisticated analytics, AI development for biomarkers, diagnosis and prognosis.
The chief obstacles to develop and implement AI algorithms include availability of sufficiently large, curated, and representative training data. Medexprim provides the specific Real-World imaging Data needed for development, training and validation
To develop new treatments, select the right patients and evaluate treatment response, Research teams need a large amount of Real-World Data. We act as a go-between between the two worlds to enable collaboration.
We aim to build multi-centric and multi-omic data lakes by disease (e.g. rare diseases, lung, breast, colorectal, melanoma, leukemia, prostate cancers).
We see data lakes as living organisms that will be continuously fed and enriched with new data, allowing for biostatistics and sophisticated analytics, AI development for biomarkers, diagnosis and prognosis.
The chief obstacles to develop and implement AI algorithms include availability of sufficiently large, curated, and representative training data. Medexprim provides the specific Real-World imaging Data needed for development, training and validation
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