The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
In a recent study published in Fundamental Research, researchers propose a novel interpretable neural network model, MULGONET, based on multi-omics information analysis by deep learning to predict ...
Nearly 50 new cancer therapies are approved every year. While this positive trend is a huge benefit for patients, Altuna Akalin, PhD, head of the bioinformatics and omics data science technology ...
A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...
The integration of multi-omics approaches in drug discovery is rapidly gaining momentum, offering a more comprehensive understanding of disease biology and paving the way for personalized medicine. A ...
Alzheimer’s disease (AD) and related dementias present significant challenges in therapeutic development, particularly within ...
Comprehensive validation of a cell-free DNA-based assay for multi-cancer detection: A Vietnamese longitudinal prospective cohort study of 9,024 participants. A pan-tumor description of the genomic, ...
Personalized health profiling using multi-omics data has the potential to reveal immunometabolic disruptions among individuals living with HIV (PWH) who are effectively undergoing antiretroviral ...
The Hong Kong University of Science and Technology (HKUST), in collaboration with the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), has launched the world's first Deep ...
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