Work overview

Section 07 of 08

Funding

First-trimester preeclampsia prediction model via integrative machine learning of maternal risk profiles and laboratory markers

Yi Zhu, Yanqiu Zhang, Chao Huang, Sheng Zhang, Jun Cao, Nicole Miranda, Sarina Zhao, Yan Peng, Chao Yu, Bin Feng, Jieyu Jin, Qingqin Tang, Jiaming Fan, Longwei Qiao, and Yuting Liang · 2026

Contents

Section 07 of 08

  1. 01Introduction
  2. 02Materials and methods
  3. 03Results
  4. 04Discussion
  5. 05CRediT authorship contribution statement
  6. 06Ethics declaration
  7. 07Funding
  8. 08Conflict of interests
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Work overview

Section 7 of 8

Funding

Yi Zhu, Yanqiu Zhang, Chao Huang, Sheng Zhang, Jun Cao, Nicole Miranda, Sarina Zhao, Yan Peng, Chao Yu, Bin Feng, Jieyu Jin, Qingqin Tang, Jiaming Fan, Longwei Qiao, and Yuting Liang · about 1 minutes

Original source ↗

This study was supported by the Science Foundation of Jiangsu Province (China) (No. BK20240371), the Suzhou Health Talent Program (Jiangsu, China) (No. GSWS2024046), the 10.13039/501100012166National Key R&D Program of China (No. 2023YFC2705600, 2023YFC2705602), the 10.13039/501100001809National Natural Science Foundation of China (No. 82001576), the Postdoctoral Fellowship Program of CPSF (No. GZC20251571), the Jiangsu Funding Program for Excellent Postdoctoral Talent (China) (No. 2025ZB269), Suzhou Science and Technology Support Program (China) (No. SKY2023001, SYW2025137), the 10.13039/501100013058Primary Research and Development Plan of Jiangsu Province, China (No. BE2022736), and the Jiangsu Province College Students' Innovation and Entrepreneurship Training Program Project (China) (No. 202410285273Y).