今日文獻聚焦於產前憂鬱症的風險預測模型建構、母體憂鬱與胎兒過敏風險的關聯，以及機器學習在族群特異性產後憂鬱預測中的應用，整體趨勢偏向精準醫學與橫向生命週期影響的探索。
International journal of women's health · Development and Internal Validation of a Psychosocial Nomogram for Antenatal Depressive Symptoms in Third-Trimester Pregnant Women at a Regional Hospital in Southern Vietnam.
首次在越南第三孕期婦族群建立具臨床實用性的心理社會因素命名圖，可個別化預測產前憂鬱風險，提升早期篩檢效率。
Psychiatry research · Association of maternal depression and antidepressant use during pregnancy with child allergic risk: A nationwide cohort study.
母體妊娠期憂鬱及SSRI使用皆顯著增加後代過敏性疾病風險，提示產前心理健康干預可能具預防過敏之副益。
Prevention science : the official journal of the Society for Prevention Research · Leveraging Machine Learning to Uncover Ethnic-Specific Predictors of Maternal Postpartum Depression.
透過機器學習識別出不同民族群體在產後憂鬱發病上的獨特風險因子結構，強調預防策略需具文化適應性。