Joe Kai

TL;DR: In this article, the authors assessed whether machine-learning can improve cardiovascular risk prediction and found that machine learning offers an opportunity to improve accuracy by exploiting complex interactions between risk factors, which can increase the number of patients who could benefit from preventive treatment, while avoiding unnecessary treatment of others.

TL;DR: The LNG-IUS, compared with usual medical therapies, resulted in greater improvement over 2 years in women's assessments of the effect of HMB on their daily routine, including work, social and family life, and psychological and physical well-being.

TL;DR: Modification of parents' personal control and perceived threat using appropriate information and education that acknowledge and address their concerns may be a means of empowering parents.

TL;DR: Communication with parents requires greater recognition of parents' difficulties and attempts to share greater and consistent information may empower parents and should be sensitive to parents' concerns, beliefs, and needs.

TL;DR: It is found that, as they sought to offer appropriate care, health professionals wrestled with considerable uncertainty and apprehension in responding to the needs of patients of ethnicities different from their own.