MedAnswers, a health tech company has raised $5 million in seed round funding led by Special Situations’ Life Sciences Innovation (LSI) Fund, managed by David Sable, with Viking Global Investors also participating. MedAnswers is leveraging technology, genetics and other health data to match those struggling to conceive to a curated network of fertility experts and solutions to help users conceive faster. The company is a graduate of the 7th cycle of Illumina Accelerator. FertilityAnswers AppThe
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Illumina
Telegenomics Company Genome Medical Nabs $23M to Bring Genomic Medicine to Everyday Care
Genome Medical, a leading nationwide telegenomics company providing genomic-based medicine, today announced that it has raised $23 million in Series B financing to accelerate the development of its technology and medical services which support patients, physicians and healthcare systems in all 50 states. The Series B round was led by Echo Health Ventures, a strategic collaboration of Cambia Health Solutions and Mosaic Health Solutions with additional new investors LRVHealth, Casdin
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LunaPBC Raises $4.6M to Fuel Community-Owned Genomic & Health Data Platform
LunaPBC, founder of LunaDNA, the first community-owned genomic and health data platform, has raised $4.6 million from ARCH Venture Partners, Bain Capital Ventures, F-Prime Capital, Illumina Ventures, and Osage University Partners. The latest round brings the company’s total funding to date to $7.6 million. First Community-Owned Health & DNA Research Platform Founded in 2017 on the belief that health data sharing and community ownership are the new philanthropy, LunaDNA is the first
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IBM Watson, Illumina Partner to Simplify Genomic Data Interpretation
IBM Watson Health and Illumina are teaming up to standardize and simplify genomic data interpretation by integrating Watson for Genomics into Illumina's BaseSpace Sequence Hub and tumor sequencing process. Genome sequencing has increased in recent years following two decades of research demonstrating the promise of precision medicine. However, access to these advances has been limited by the significant time and expense required to interpret the genomic data.By integrating Watson for Genomics
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