The researchers showed that men of African ancestry inherit about twice the prostate cancer risk on average compared to men of European ancestry. In contrast, men of Asian ancestry inherit about three-quarters the risk of their white counterparts.
Combining wearable devices, handheld devices and digital apps lets researchers tell the difference between people with early dementia and those without it.
Swiss big data firm Sophia Genetics partners with U.S. medtech giant GE Healthcare to use AI and big-data analytics to advance precision oncology.
This new data was obtained using a combination of advanced sequencing and mapping technologies. Importantly, each of the genomes was assembled without guidance from the first human genome composite. As a result, the new dataset captures genetic differences from different human populations.
Already a leader among U.S. health systems in using genomics to guide care, the strategic alliance between NorthShore and Sema4 will significantly expand NorthShore’s existing clinical genomics offerings to more than 1,000 physicians and approximately 300,000 NorthShore patients.
Researchers analyzed DNA from nearly 50,000 people of non-European decent and found 27 new genetic variants associated with chronic diseases, including high blood pressure,...
Tempus, a precision medicine technology company focused on collecting and analyzing molecular and clinical data, has raised $200 million in Series F financing, bringing...
Recent regulatory changes and the global pandemic have highlighted the need for exploring 'in-silico' trials, carried out on virtual populations, as a way to speed up and reduce costs of drug and medical device development, while still maintaining accuracy.
The new center seeks to provide Mount Sinai with data analytic solutions to combat current and future threats of COVID-19, as well as rapidly develop digital health products with real-time predictive and preventive capabilities.
Scientists at the Wellcome Sanger Institute, Simon Fraser University in Canada, and Imperial College London combined genomic data, models of bacterial evolution, and predictive modeling to identify how vaccines could be optimized for specific age groups, geographic regions, and different communities of bacteria.