Tej D. Azad

TL;DR: This study shows that ctDNA analysis can robustly identify posttreatment MRD in patients with localized lung cancer, identifying residual/recurrent disease earlier than standard-of-care radiologic imaging, and thus could facilitate personalized adjuvant treatment at early time points when disease burden is lowest.

TL;DR: Surgical volume is large and continues to grow in all economic environments, yet many low-income countries fail to achieve basic levels of service and a correlation between increased life expectancy and increased surgical rates is noted.

TL;DR: A cross-sectional, ecological study estimating annual cesarean delivery rates from data collected during 2005 to 2012 for all 194 WHO member states to estimate the contemporary relationship between national levels of cesAREan delivery and maternal and neonatal mortality.

TL;DR: Surgical volume is large and growing, with caesarean delivery comprising nearly a third of operations in most resource-poor settings, Nonetheless, there remains disparity in the provision of surgical services globally.

TL;DR: It is shown that, although levels are very low in early-stage lung cancers, ctDNA is present prior to treatment in most patients and its presence is strongly prognostic, and a machine-learning method termed ‘lung cancer likelihood in plasma’ (Lung-CLiP) is developed, which can robustly discriminate early-Stage lung cancer patients from risk-matched controls.