ReviewPhenomics (Cham, Switzerland)2023
Phenomic Studies on Diseases: Potential and Challenges.
Review in Phenomics (Cham, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
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Who cites it
61 citing papers in PubMed.
- Beyond the Classics: The Synergy of AI and Genomics Reveals an Expanded Repertoire of Pigmentation Genes.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2026Review
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- MVFAN-Kcr: A Multi-View Feature Fusion and Attention-Based Network for Lysine Crotonylation Site Identification.Interdisciplinary sciences, computational life sciences · 2026Article
- Integrated proteomic and immune subtyping: a two-tier framework for biomarker-guided therapy in high-grade serous ovarian cancer.EBioMedicine · 2026Article
- The next paradigm in bioinformatics: a review of multi-agent systems and foundational models for end-to-end scientific discovery.Briefings in bioinformatics · 2026Review
- Proteomic profiling and molecular reclassification of high-grade serous ovarian cancer identifies prognostic subtypes and immunotherapy biomarkers.EBioMedicine · 2026Article
- Mitochondrial cardiovascular diseases: molecular mechanisms, multi-omics exploration and therapeutic strategies.Journal of advanced research · 2026Review
- Brain Network Patterns in Patients With Multiple System Atrophy: Spatial Independent Component Analysis Using FDG-PET Data.Neurology · 2026Article
- BRAF inhibitor resistance in melanoma: from resistance mechanisms to therapeutic innovations.Molecular biomedicine · 2026Review
- High-Intensity Sports Participation Induces Itch-Associated Sensitive Skin.Phenomics (Cham, Switzerland) · 2026Article
- Urinary proteomic profiling reveals diagnostic biomarkers and regulatory networks in myasthenia gravis.BMC neurology · 2026Article
- Cancer biomarkers discovered using pan-cancer plasma proteomic profiling.Nature biomedical engineering · 2026Article
- Antibiotic resistance inFrontiers in microbiology · 2026Review
- Artificial Intelligence and Radiomics in Primary Liver Cancer Imaging: A Bibliometric and Visualized Analysis.Journal of hepatocellular carcinoma · 2026Article
- Molecular imaging based spatiotemporal dynamics progression of brain glucose metabolism in multiple system atrophy.European journal of nuclear medicine and molecular imaging · 2026Article
- Post-sleeve gastrectomy weight loss: Role of botulinum toxin and semaglutide injections.Endoscopy international open · 2026Article
- Gender disparities in the association between macular thickness and cognitive function among elderly individuals in China.BMC geriatrics · 2025Article
- Exercise attenuates the hallmarks of aging: Novel perspectives.Journal of sport and health science · 2025Review
- Physician adenoma detection rates and risk of post-colonoscopy colorectal cancer in a sequential screening programme: a retrospective cohort study.BMJ open gastroenterology · 2025Observational
- Association between vaccination status and clinical characteristics among young adults infected with COVID-19.BMC infectious diseases · 2025Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
The rapid development of such research field as multi-omics and artificial intelligence (AI) has made it possible to acquire and analyze the multi-dimensional big data of human phenomes. Increasing evidence has indicated that phenomics can provide a revolutionary strategy and approach for discovering new risk factors, diagnostic biomarkers and precision therapies of diseases, which holds profound advantages over conventional approaches for realizing precision medicine: first, the big data of patients' phenomes can provide remarkably richer information than that of the genomes; second, phenomic studies on diseases may expose the correlations among cross-scale and multi-dimensional phenomic parameters as well as the mechanisms underlying the correlations; and third, phenomics-based studies are big data-driven studies, which can significantly enhance the possibility and efficiency for generating novel discoveries. However, phenomic studies on human diseases are still in early developmental stage, which are facing multiple major challenges and tasks: first, there is significant deficiency in analytical and modeling approaches for analyzing the multi-dimensional data of human phenomes; second, it is crucial to establish universal standards for acquirement and management of phenomic data of patients; third, new methods and devices for acquirement of phenomic data of patients under clinical settings should be developed; fourth, it is of significance to establish the regulatory and ethical guidelines for phenomic studies on diseases; and fifth, it is important to develop effective international cooperation. It is expected that phenomic studies on diseases would profoundly and comprehensively enhance our capacity in prevention, diagnosis and treatment of diseases.
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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 OpenQuestion graph.