ReviewAnnual review of biomedical data science2024
Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine.
Review in Annual review of biomedical data science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
63 citing papers in PubMed.
- Artificial intelligence and extracellular vesicles in oncology: towards tumor diagnosis, prediction, and therapy.Drug delivery · 2026Review
- IL1B-high macrophages promote ferroptosis-like lipid peroxidation injury in Crohn's disease intestinal epithelium.Redox biology · 2026Article
- A Systematic Review of Deep Learning and Machine Learning Applications in Longitudinal Multimodal Clinical Data.Journal of healthcare informatics research · 2026Review
- Review
- Multi-Omics-Driven Insights into Cancer Biology and Therapeutic Targeting.AAPS PharmSciTech · 2026Review
- AI-driven drug design: a comprehensive review.Journal of computer-aided molecular design · 2026Review
- Quantum-Augmented Federated AI for Adaptive Pharmacogenomic Precision Oncology: A Perspective.ACS pharmacology & translational science · 2026Review
- Review
- Development of K-CORE: a web-based platform for integrated clinico-genomic analysis.Life science alliance · 2026Article
- Microbial and enzymatic synergy in fermented fish: impacts on flavor, texture, and safety with multi-omics and AI insights.Food chemistry: X · 2026Review
- The Design and Conduct of Cohort Studies of Peoples With CKD - International Perspectives From iNET-CKD.Kidney international reports · 2026Article
- Benchmarking large language models for cell-free RNA diagnostic biomarker discovery.Nature communications · 2026Article
- Extracellular vesicles in prostate cancer: current understanding and future perspectives.Journal of the National Cancer Center · 2026Review
- The BHARAT study: a multi-modal, multi-omics investigation of aging signatures in the Indian population.Aging · 2026Observational
- Recent Advances in the Non-viral Delivery of Genes to Central Nervous System Disorders.Cellular and molecular neurobiology · 2026Review
- Molecular mechanisms and therapeutic potential of tryptophan metabolism in gut-brain signaling transduction: a narrative review.Journal of neuroinflammation · 2026Review
- Segmentation Methodologies for the Construction of Hyperspectral Cell Nuclei Databases in Histopathology.Bioengineering (Basel, Switzerland) · 2026Article
- ChatGPT in precision medicine.APL bioengineering · 2026Review
- RETRACTED: Endogenous Retroviruses as Regulators of Innate Immune Signaling and InflammationViruses · 2026Review
- Genome-based medicine in Korea: the Korea National Institute of Health infrastructure for precision medicine.Childhood kidney diseases · 2026Review
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The integration of multiomics data with detailed phenotypic insights from electronic health records marks a paradigm shift in biomedical research, offering unparalleled holistic views into health and disease pathways. This review delineates the current landscape of multimodal omics data integration, emphasizing its transformative potential in generating a comprehensive understanding of complex biological systems. We explore robust methodologies for data integration, ranging from concatenation-based to transformation-based and network-based strategies, designed to harness the intricate nuances of diverse data types. Our discussion extends from incorporating large-scale population biobanks to dissecting high-dimensional omics layers at the single-cell level. The review underscores the emerging role of large language models in artificial intelligence, anticipating their influence as a near-future pivot in data integration approaches. Highlighting both achievements and hurdles, we advocate for a concerted effort toward sophisticated integration models, fortifying the foundation for groundbreaking discoveries in precision medicine.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.