Cancer progression is linked to gene-environment interactions that alter cellular
homeostasis. The use of biomarkers as early indicators of disease manifestation and …

Cancer is the second leading worldwide disease that depends on oncogenic mutations and
non-mutated genes for survival. Recent advancements in next-generation sequencing …

Artificial intelligence (AI) and machine learning (ML) technologies have not only tremendous
potential to augment clinical decision-making and enhance quality care and precision …

Introduction: Multi-omics data integration facilitates collecting richer understanding and
perceptions than separate omics data. Various promising integrative approaches have been …

Colorectal cancer (CRC) liver metastasis accounts for the majority of fatalities associated
with CRC. Early detection of metastasis is crucial for improving patient outcomes but can be …

Over a decade ago, longitudinal multiomics analysis was pioneered for early disease
detection and individually tailored precision health interventions. However, high sample …

Emerging in the realm of bioinformatics, plant bioinformatics integrates computational and
statistical methods to study plant genomes, transcriptomes, and proteomes. With the …

Simple Summary The future of plant biology, particularly rapidly advancing precision
horticulture and predictive breeding, will require the transformation of huge volumes of multi …

Abstract Background Early diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is the
main key to surviving cancer patients. Urine proteomic biomarkers which are creatinine …

In recent years, scientific data on cancer has expanded, providing potential for a better
understanding of malignancies and improved tailored care. Advances in Artificial …