A roadmap for multi-omics data integration using deep learning
High-throughput next-generation sequencing now makes it possible to generate a vast
amount of multi-omics data for various applications. These data have revolutionized …
amount of multi-omics data for various applications. These data have revolutionized …
Applications of multi‐omics analysis in human diseases
Multi‐omics usually refers to the crossover application of multiple high‐throughput screening
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …
The emerging role of Raman spectroscopy as an omics approach for metabolic profiling and biomarker detection toward precision medicine
G Cutshaw, S Uthaman, N Hassan… - Chemical …, 2023 - ACS Publications
Omics technologies have rapidly evolved with the unprecedented potential to shape
precision medicine. Novel omics approaches are imperative toallow rapid and accurate data …
precision medicine. Novel omics approaches are imperative toallow rapid and accurate data …
Long-term cancer survival prediction using multimodal deep learning
LA Vale-Silva, K Rohr - Scientific Reports, 2021 - nature.com
The age of precision medicine demands powerful computational techniques to handle high-
dimensional patient data. We present MultiSurv, a multimodal deep learning method for long …
dimensional patient data. We present MultiSurv, a multimodal deep learning method for long …
[HTML][HTML] After another decade: LC–MS/MS became routine in clinical diagnostics
C Seger, L Salzmann - Clinical biochemistry, 2020 - Elsevier
Tandem mass spectrometry–especially in combination with liquid chromatography (LC–
MS/MS)–is applied in a multitude of important diagnostic niches of laboratory medicine. It is …
MS/MS)–is applied in a multitude of important diagnostic niches of laboratory medicine. It is …
[HTML][HTML] The convergence of traditional and digital biomarkers through AI-assisted biosensing: A new era in translational diagnostics?
Advances in consumer electronics, alongside the fields of microfluidics and nanotechnology
have brought to the fore low-cost wearable/portable smart devices. Although numerous …
have brought to the fore low-cost wearable/portable smart devices. Although numerous …
[HTML][HTML] A systematic review of computational approaches to understand cancer biology for informed drug repurposing
Cancer is the second leading cause of death globally, trailing only heart disease. In the
United States alone, 1.9 million new cancer cases and 609,360 deaths were recorded for …
United States alone, 1.9 million new cancer cases and 609,360 deaths were recorded for …
Discovery of sparse, reliable omic biomarkers with Stabl
Adoption of high-content omic technologies in clinical studies, coupled with computational
methods, has yielded an abundance of candidate biomarkers. However, translating such …
methods, has yielded an abundance of candidate biomarkers. However, translating such …
Challenges in metabolomics-based tests, biomarkers revealed by metabolomic analysis, and the promise of the application of metabolomics in precision medicine
A Di Minno, M Gelzo, M Caterino, M Costanzo… - International Journal of …, 2022 - mdpi.com
Metabolomics helps identify metabolites to characterize/refine perturbations of biological
pathways in living organisms. Pre-analytical, analytical, and post-analytical limitations that …
pathways in living organisms. Pre-analytical, analytical, and post-analytical limitations that …
REVOLUTIONIZING HEALTHCARE: THE IMPACT OF ARTIFICIAL INTELLIGENCE ON PATIENT CARE, DIAGNOSIS, AND TREATMENT
This article provides a comprehensive exploration of the profound impact of Artificial
Intelligence (AI) on the healthcare industry. It begins by elucidating AI's pivotal role in …
Intelligence (AI) on the healthcare industry. It begins by elucidating AI's pivotal role in …