Explore ResearchStanford School of MedicineStanford Health CareAdministrationAgingBig DataBiochemistryBioengineeringCancerCardiovascular HealthChemical BiologyChronic DiseaseCOVID-19Developmental BiologyEducationGeneticsGlobal HealthHealth PolicyHearingImagingInfectious DiseaseMental HealthNeuroscienceNutritionObituariesPainPatient CarePediatricsPrecision HealthPreventive MedicineSleepStem CellsSurgeryTechnologyTransplantationUrologyWhile cardiac sphericity was the focus of Stanford Medicine-led research, the possibility of data science expanding the reach of biomedical science was its true core, researchers say. A machine learning-aided study on heart shape, led by a researcher at Stanford Medicine, found that sphericity — or roundness — seems to occur more commonly in healthy hearts than previously believed but can also act as a genetic indicator of cardiac problems that lie ahead. “And just as we’ve previously known that a bigger heart isn’t always better, we’re learning that a more-round heart is also not better