Academic Articles & Research Papers

Adaptive Precision Nutrition: Integrating Dynamic Phenotyping, Multi-Omics, Artificial Intelligence, and the Allostatic Viability Principle.

Microbiome-driven precision psychiatry: integrating multi-omics, artificial intelligence, and personalized interventions along the gut-brain axis.

Illuminating the microbial 'dark matter' in obesity: integrated multi-omics approaches to characterize uncultured taxa and their potential metabolic crosstalk with host pathways.

Multi-omics in coronary atherosclerosis: mechanistic insights and advances in precision diagnosis and treatment.

Multi-omics analysis delineates the distinct functions of sub-cellular acetyl-CoA pools in Toxoplasma gondii

Abstract Background Acetyl-CoA is a key molecule in all organisms, implicated in several metabolic pathways as well as in transcriptional regulation and post-translational modification. The human pathogen Toxoplasma gondii possesses at leas...

Multi-omics for studying and understanding polar life

Abstract Polar ecosystems are experiencing amongst the most rapid rates of regional warming on Earth. Here, we discuss ‘omics’ approaches to investigate polar biodiversity, including the current state of the art, future perspectives and rec...

Alterations in the gut microbiota and its metabolites contribute to metabolic maladaptation in dairy cows during the development of hyperketonemia

ABSTRACTMetabolic maladaptation in dairy cows after calving can lead to long-term elevation of ketones, such as β-hydroxybutyrate (BHB), representing the condition known as hyperketonemia, which greatly influences the health and production ...

Neurotoxicity of PM_2.5-Bound Multi-Pollutant Mixtures in Parkinson’s Disease: Exploring the <i>INPP5D</i>/SHIP1-PI3K-AKT Axis via an Integrative Multi-Omics Study

Accumulating epidemiological evidence links ambient PM2.5 exposure to elevated Parkinson’s disease (PD) risk, yet the neurotoxicity triggered by PM2.5 multi-pollutant mixtures under real co-exposure scenarios remains insufficiently elucidat...

Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support

Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological subtype, and molecular alterations. Re...

Integrated methylome and transcriptome analysis provides insight into DNA methylation-mediated networks in sexual dimorphism of Vernicia montana

Abstract Background Sexual dimorphism is fundamental to reproduction in dioecious plants and is regulated by both genetic and epigenetic mechanisms. DNA methylation is a central epigenetic mark known to influence phenotypic variation in pla...

Challenges in community-based recruitment of Alzheimer's disease cases: Experience of the monitoring drug efficacy through multi-omics research initiative in Alzheimer's disease (MEMORI-AD) study

Background The Monitoring drug Efficacy through Multi-Omics Research Initiative in Alzheimer's Disease (MEMORI-AD) study aims to characterize drug response to donepezil and memantine in a Filipino cohort with late-onset Alzheimer's disease ...

A Single-Capillary Open Microfluidic Probe for Robust and Versatile Spatial Multi-Omics Using Ambient Mass Spectrometry Imaging.

The LEGACy study: a European and Latin American consortium to identify risk factors and molecular phenotypes in gastric cancer to improve prevention strategies and personalized clinical decision making globally

Abstract Background Gastric Cancer (GC) is the fourth most deadly cancer worldwide. Enhanced understanding of its key epidemiological and molecular drivers is urgently needed to lower the incidence and improve outcomes. Furthermore, tumor b...

Multi-omics profiling identifies a putative Akkermansia–HK3–lactate immunometabolic link associated with JPZS treatment in lupus nephritis.

Understanding the regulatory grammar of sepsis-causing Staphylococcus aureus bacteria using contexualised DNA language models

Abstract To efficiently and accurately understand, detect, and treat sepsis, we require a deep understanding of how its underlying biological systems work. Conventional methods struggle to provide a detailed view of both the functional and ...

Identifying multi-omics spatial domains via masked autoencoder and diffusion-based latent regularization with SpaMEDM.

The Application of Deep Learning in Cancer Prognosis Prediction

Deep learning has been applied to many areas in health care, including imaging diagnosis, digital pathology, prediction of hospital admission, drug design, classification of cancer and stromal cells, doctor assistance, etc. Cancer prognosis...

Integrative multiomics-histopathology analysis for breast cancer classification

Abstract Histopathologic evaluation of biopsy slides is a critical step in diagnosing and subtyping breast cancers. However, the connections between histology and multi-omics status have never been systematically explored or interpreted. We...

Apoplast multi-omics profiling during fungal infection uncovers new players of basal and early induced immunity in Arabidopsis thaliana.

From multi-omics screening to functional validation: The SOD1-SIRT5 Axis as a potential mediator of ammonia-related neuronal injury and NAD⁺-based neuroprotection in epilepsy.