Gemini Data’s resident data scientist and bioinformatician, Sixing Huang, joined the Graphversation series to discuss personalized medicine.
In healthcare, data is abundant but often siloed. Traditional data management systems are not equipped to handle the complexity of healthcare data, including clinical records, medical knowledge, omic results, etc. Consequently, doctors, researchers, and patients cannot take full advantage of this valuable resource.
Knowledge graphs can better represent and connect data to diverse data sources. Healthcare professionals and researchers can use knowledge graphs to capture the relationships among patients, diseases, treatments, and outcomes and lead the way for better clinical trials, more effective treatments, and healthier outcomes. See how connecting the dots in diverse data sources can capture the relationships among patients, diseases, treatments, and outcomes and lead the way for better clinical trials, more effective treatments, and healthier outcomes.
