The explosion of microbiome data available in recent years has enabled rapid advancements in the scope of research, yet it has also introduced myriad challenges. This is especially true for metrics that relate to phylogenetic diversity and relatedness, as the computational cost of calculation is dependent on the size of the phylogenetic tree and underlying…
The coronavirus that causes COVID-19 also tends to co-locate with one particular type of bacteria
The University of California San Diego and IBM are building on the existing AI for Healthy Living (AIHL) collaboration in order to help tackle the COVID-19 pandemic.
A new tool has been developed that can effectively predict a person’s chronological age based on a microbiome sample. The tool, developed in collaboration between UC San Diego and IBM researchers, is most accurate at predicting a person’s age when using a skin microbiome sample.
ARMONK, N.Y. and SAN DIEGO, Sept. 28, 2017 — IBM (NYSE: IBM) and the University of California San Diego have announced a multi-year project to enhance the quality of life and independence for aging populations through the new Artificial Intelligence for Healthy Living Center (AIHL), located on the campus of UC San Diego. The groundbreaking…
