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Genedata transforms data into intelligence with innovative software solutions and domain-specific consulting services that automate complex, large-scale experimental processes and enable organizations to maximize the ROI from their R&D.
The discovery, development and characterization of biopharmaceuticals generates huge volumes of complex data that needs to be captured, organized, integrated, processed and analyzed. The Genedata Biopharma Platform, developed in close collaboration with leading biopharma R&D organizations, has been adopted by a rapidly growing number of globally leading biopharmaceutical companies to streamline their biopharma R&D.
In the era of precision medicine clinical trials have become highly targeted and biomarker-based. The increased use of omic technologies, in particular next generation sequencing (NGS), poses significant challenges to R&D organizations, who must generate timely results from the huge volumes of data, and at the same time, ensure full regulatory compliance. Genedata Profiler™ translates omics data into meaningful scientific insights for precision medicines while addressing regulatory requirements.
AI Advances Healthcare Research - Scientific Computing World explores all aspects of AI in healthcare including bioinformatics and the impact of a deep learning-based solution such as Genedata Imagence.
Maintaining Cell Line Integrity ‒ BioPharm International interviews Genedata expert, Dr. Christoph Freiberg, on analytical evaluation of cell lines for bioprocessing.
2018 Nobel Prizes - The Year of the Antibody
Deep learning is increasingly being used for a wide range of applications, from speech recognition to self-driving cars. Several recent publications have shown how this technology can be applied for high-content screening image analysis, but no comprehensive workflow from training data creation to pharmaceutical productive use has existed. Until now.