Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 6, 2025Molecular Systems BiologyOpen Access

Longitudinal big biological data in the AI era

View Full Paper
Ask AI
Bookmark
Share

Authors

AMAdil MardinoğluHTHasan TürkezMSMinho Shong

Discussion

Loading...

Member takes

Overview

This review highlights how multi-omics and AI drive precision health, suggesting advancements in clinical decision support systems.

Key Points

  • Big biological data integrates multi-omics, clinical, and environmental data to enhance health insights.
  • Recent advancements in AI and systems biology aid in discovering novel biomarkers and drug targets.
  • Ongoing multi-omics studies focus on revealing interactions across biological layers over time.
  • Incorporating big biological data into clinical practice is crucial for developing effective AI-driven healthcare models.

Cite This Study

Mardinoğlu et al. (2025) studied this question.

synapsesocial.com/papers/689a0f99e6551bb0af8d1697https://doi.org/10.1038/s44320-025-00134-0
View Full Paper
Ask AI
Bookmark
Share