Small molecule metabolites: discovery of biomarkers and therapeutic targets
S Qiu, Y Cai, H Yao, C Lin, Y ** a single-domain assay to identify individuals at high risk of future events is a
priority for multi-disease and mortality prevention. By training a neural network, we …
priority for multi-disease and mortality prevention. By training a neural network, we …
Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer
Y Chen, B Wang, Y Zhao, X Shao, M Wang… - Nature …, 2024 - nature.com
Gastric cancer (GC) represents a significant burden of cancer-related mortality worldwide,
underscoring an urgent need for the development of early detection strategies and precise …
underscoring an urgent need for the development of early detection strategies and precise …
A proteo-transcriptomic map of non-alcoholic fatty liver disease signatures
Non-alcoholic fatty liver disease (NAFLD) is a common, progressive liver disease strongly
associated with the metabolic syndrome. It is unclear how progression of NAFLD towards …
associated with the metabolic syndrome. It is unclear how progression of NAFLD towards …
Aggregation-Induced Emission Luminogen: Role in Biopsy for Precision Medicine
Y Duo, L Han, Y Yang, Z Wang, L Wang… - Chemical …, 2024 - ACS Publications
Biopsy, including tissue and liquid biopsy, offers comprehensive and real-time physiological
and pathological information for disease detection, diagnosis, and monitoring. Fluorescent …
and pathological information for disease detection, diagnosis, and monitoring. Fluorescent …
Mass spectrometry‐based high‐throughput proteomics and its role in biomedical studies and systems biology
There are multiple reasons why the next generation of biological and medical studies
require increasing numbers of samples. Biological systems are dynamic, and the effect of a …
require increasing numbers of samples. Biological systems are dynamic, and the effect of a …
[HTML][HTML] Artificial intelligence in pharmaceutical sciences
Drug discovery and development affects various aspects of human health and dramatically
impacts the pharmaceutical market. However, investments in a new drug often go …
impacts the pharmaceutical market. However, investments in a new drug often go …
Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis
The incorporation of machine learning methods into proteomics workflows improves the
identification of disease-relevant biomarkers and biological pathways. However, machine …
identification of disease-relevant biomarkers and biological pathways. However, machine …