S22-156 Imaging features for treatment selection, disease monitoring, and outcome prediction Stanford scientist has developed a computational method that extracts quantitative imaging features that reproducibly describe lesion phenotypes associated with treatment response and clinical outcomes in cancer. Haruka Itakura
S21-136 Densitometry-based sorting allows the selection of healthier embryos from obese mice Stanford researchers have developed a non-invasive, densitometry-based sorting method to select healthy embryos for in vitro fertilization (IVF). Nurlybek Mursaliyev Vittorio Sebastiano Utkan Demirci Naside Durmus