The transition from genomics to phenomics in personalized population health

JT Yurkovich, SJ Evans, N Rappaport, JL Boore… - Nature Reviews …, 2024 - nature.com
Modern health care faces several serious challenges, including an ageing population and
its inherent burden of chronic diseases, rising costs and marginal quality metrics. By …

Dynamic lipidome alterations associated with human health, disease and ageing

D Hornburg, S Wu, M Moqri, X Zhou, K Contrepois… - Nature …, 2023 - nature.com
Lipids can be of endogenous or exogenous origin and affect diverse biological functions,
including cell membrane maintenance, energy management and cellular signalling. Here …

Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation

S Rajendran, W Pan, MR Sabuncu, Y Chen, J Zhou… - Patterns, 2024 - cell.com
In healthcare, machine learning (ML) shows significant potential to augment patient care,
improve population health, and streamline healthcare workflows. Realizing its full potential …

Multi-omics approaches in psychoneuroimmunology and health research: conceptual considerations and methodological recommendations

S Mengelkoch, SMSF Rose, Z Lautman, JC Alley… - Brain, Behavior, and …, 2023 - Elsevier
The field of psychoneuroimmunology (PNI) has grown substantially in both relevance and
prominence over the past 40 years. Notwithstanding its impressive trajectory, a majority of …

Towards nutrition with precision: unlocking biomarkers as dietary assessment tools

C Cuparencu, T Bulmuş-Tüccar, J Stanstrup… - Nature …, 2024 - nature.com
Precision nutrition requires precise tools to monitor dietary habits. Yet current dietary
assessment instruments are subjective, limiting our understanding of the causal …

Blood-based multiomics-guided detection of a precancerous pancreatic tumor

MA Anwar, AH Keshteli, H Yang, W Wang… - OMICS: A Journal of …, 2024 - liebertpub.com
Over a decade ago, longitudinal multiomics analysis was pioneered for early disease
detection and individually tailored precision health interventions. However, high sample …

Revolutionizing blood Collection: innovations, applications, and the potential of Microsampling Technologies for monitoring metabolites and lipids

E Bossi, E Limo, L Pagani, N Monza, S Serrao, V Denti… - Metabolites, 2024 - mdpi.com
Blood serves as the primary global biological matrix for health surveillance, disease
diagnosis, and response to drug treatment, holding significant promise for personalized …

A Narrative Review of Cytokine Networks: Pathophysiological and Therapeutic Implications for Inflammatory Bowel Disease Pathogenesis

M Vebr, R Pomahačová, J Sýkora, J Schwarz - Biomedicines, 2023 - mdpi.com
Inflammatory bowel disease (IBD) is a lifelong inflammatory immune mediated disorder,
encompassing Crohn's disease (CD) and ulcerative colitis (UC); however, the cause and …

Patchwork learning: A paradigm towards integrative analysis across diverse biomedical data sources

S Rajendran, W Pan, MR Sabuncu, Y Chen… - arXiv preprint arXiv …, 2023 - arxiv.org
Machine learning (ML) in healthcare presents numerous opportunities for enhancing patient
care, population health, and healthcare providers' workflows. However, the real-world …

Characterizing human postprandial metabolic response using multiway data analysis

S Yan, L Li, D Horner, P Ebrahimi, B Chawes… - Metabolomics, 2024 - Springer
Introduction Analysis of time-resolved postprandial metabolomics data can improve our
understanding of the human metabolism by revealing similarities and differences in …