Early detection of liver fibrosis in chronic hepatitis B (CHB) patients is crucial for improving their prognosis. This study aims to develop a machine learning (ML)-based diagnostic model for evaluating the degree of liver fibrosis in patients with C... read more
BACKGROUND: Observational data are fundamental to medical research but present formidable challenges for causal inference. Machine learning-based causal discovery algorithms have emerged as a promising solution to identify causal structures directly ... read more
ObjectiveThis study aims to develop a functional-based multi-omics model for early prediction of radiation pneumonitis (RP) by extracting radiomic and dosiomic features from functionally defined lung regions, using generated perfusion (Q) and ventila... read more
\textbf{Objective:}
Physiological measurements obtained from wearable devices reflect complex autonomic nervous system dynamics that are often assumed to follow simple linear relationships, such as elevated heart rate under stress or reduced stre... read more
Deutsche medizinische Wochenschrift (1946)
Mar 13, 2026
Description of treatment and prescription patterns among asthma patients in the regions of Magdeburg (MD) and Mannheim (MA) compared nationwide.We analyzed IQVIATM LRx data 1 from the period of July 2022 to June 2023. The prescription database LRx co... read more
As researchers seek to employ neuromorphic computing to overcome the limitations of conventional von Neumann architecture, mimicking the biological properties of neural systems has become increasingly critical. In tripartite synapses, astrocytes modu... read more
Lynch syndrome (LS), synonymous with hereditary non-polyposis colorectal cancer (HNPCC), is caused by germline pathogenic variants in MLH1, MSH2, MSH6 or PMS2, which confer an elevated lifetime risk of colorectal cancer (CRC). Since the early 2000s, ... read more
Obesity reviews : an official journal of the International Association for the Study of Obesity
Mar 13, 2026
The objective of this scoping review is to examine the nature, extent, and impact of AI-supported interventions that include an AI agent intended to influence obesity-related behavior change. Empirical studies published from 2020 to 2025 examining AI... read more
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