
FEATURED STUDY: A New Data Science Approach for Prioritizing Cancer Risks
New methodology improves cancer hazard prioritization using an integrated approach of database fusion and text mining
New methodology improves cancer hazard prioritization using an integrated approach of database fusion and text mining
Dr. Petrick shares results from a groundbreaking study that showed differences in dry blood samples from healthy infants to infants that were later diagnosed with childhood leukemia.
Years-old dried blood spots collected from newborns hold vital clues in the discovery of early environmental exposure links to disease, new studies show.