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Called Intervene, the project will use genomic and health data from biorepositories along with machine learning methods to develop new clinical predictive tools.
Interpace said that the novel monoclonal antibody, Das-1, will provide additional data regarding pancreatic cancer risk to guide personalized patient management.
At ASHG, a FinnGen researcher reported new recessive disease associations for cataracts, hearing loss, and other conditions, identified through the population study.
In PNAS this week: similar muscle protein patterns across hypertrophic cardiomyopathy phenotypes, analysis of gene expression and brain anatomy in major depression, and more.
In Cell this week: systems biology analysis of inflammatory syndrome seen in children with COVID-19, single-cell RNA-sequencing strategies, and more.
The trial will use Natera's Signatera test to determine patient enrollment eligibility based on the presence of ctDNA and to evaluate response based on ctDNA clearance.
Accounting for polygenic background in conditions like hereditary breast cancer or Lynch syndrome can increase the accuracy of disease risk estimation.
In Science this week: machine learning model predicts whether ion channel mutations will cause disease, and more.
The technology could be developed into therapies for diseases caused by DNA transversion point mutations, and used to conduct molecular research on such conditions.
In Nature this week: method for studying higher-order interactions among genes from single-cell data, and more.
SARS-CoV-2 vaccine developers are evaluating further vaccine doses as well as modified doses to keep up with new viral variants, according to CNN.
The New York Times reports that a new viral variant of concern has been identified in New York City.
In Nature this week: spatiotemporally resolved map of the human cell cycle, folding single-cell RNA sequencing into cancer drug studies, and more.
According to BBC News, the global vaccine-sharing initiative has sent its first shipment, which arrived in Ghana this week.