印度推出GARBH-INi, 一项全国性的怀孕研究使用人工智能和大数据来减少早产. India launches GARBH-INi, a nationwide pregnancy study using AI and big data to reduce preterm births.

印度已经启动了GARBH-INi, 这是一项涉及12,000名妇女的重大怀孕研究, 用本土人工智能工具减少早产. India has launched GARBH-INi, a major pregnancy study involving 12,000 women, to reduce preterm births using homegrown AI tools. 该计划创造了南亚最大的怀孕队列,拥有超过160万个生物样本和100万张超声波图像,使得基于微生物学,遗传学和临床数据的人工智能驱动预测模型成为可能. The initiative has created South Asia’s largest pregnancy cohort, with over 1.6 million biospecimens and one million ultrasound images, enabling AI-driven prediction models based on microbiome, genetics, and clinical data. 支持研究和合作的国家生物存储库以及GARBH-INi-DRISHTI数据平台. A national biorepository and the GARBH-INi-DRISHTI data platform support research and collaboration. 通过个性化风险评估和快速诊断, 该项目得到印度日益增长的生物经济 (现为1950亿美元) 的支持. The project, backed by India’s growing bioeconomy—now $195 billion—aims to improve maternal and child health outcomes through personalized risk assessment and rapid diagnostics.