AIMC Topic: Machine Learning

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Transfer Learning for Predicting ncRNA-Protein Interactions.

Journal of chemical information and modeling
Noncoding RNAs (ncRNAs) interact with proteins, playing a crucial role in regulating gene expression and cellular functions. Accurate prediction of these interactions is essential for understanding biological processes and developing novel therapeuti...

Machine learning in diagnosing coronary artery disease via optical pumped magnetometer magnetocardiography: a prospective cohort study.

Physiological measurement
The potential of optical pumped magnetometer magnetocardiography (OPM-MCG) for diagnosing coronary artery disease (CAD) has been initially shown, yet lacks large-scale prospective research.Using invasive coronary angiography (ICA) as a reference, we ...

Bioinspired rational design of nanozymes.

Materials horizons
Nanozymes, an emerging class of artificial enzymes, have attracted increasing attention for their potential in environmental monitoring, industrial catalysis, food safety, and biomedicine. To date, more than 1500 nanomaterials have been identified wi...

Comparing machine learning isoscapes of Sr/Sr ratios of plants on the island of Sardinia: Implications for the use of isoscapes for assessing the provenance of biological specimens.

The Science of the total environment
Strontium isotope analysis is widely used to evaluate the provenance and mobility of biological specimens. Frequently applied in archaeology, palaeontology, ecology, forensics, and food science, strontium isotope analysis compares the Sr/Sr ratio of ...

Harnessing public sentiment discourse for early drought detection and water crisis response for strategic water management and resilient policy planning.

The Science of the total environment
The extensive and gradual onset of drought prompts critical examination of the alterations and engagement among substantial demographics during the drought's advancement and the consequent effects of such shifts on drought detection. This research ex...

Fractal analysis for cognitive impairment classification in DAVF using machine learning.

Biomedical physics & engineering express
. Intracranial dural arteriovenous fistula (DAVF) is an acquired vascular condition involving abnormal connections between dural arteries and veins without intervening capillary beds. Cognitive impairment is a common symptom in DAVFs, often linked to...

Development of Methods to Assess Readability in Health and Medical Information: A Scoping Review.

Studies in health technology and informatics
This study aimed to extract characteristics of studies involving development of readability measures for health and medical information (HMI) to explore the common themes (strategies) within such developments. Four databases were searched following P...

The Impact of Social Determinants on Cardiovascular Mortality: A Zip Code-Level Analysis in Indiana.

Studies in health technology and informatics
Cardiovascular disease (CVD) is the leading cause of death globally and is expected to become the top global cause of death by 2030. Although the role of social determinants of health (SDoH) in CVD outcomes is well-established, integrating these fact...

Early Identification of Vitamin D Deficiency Risk Through Public Health Screening Data.

Studies in health technology and informatics
Metabolic syndrome, characterized by central obesity, hypertension, hyperglycemia, dyslipidemia, and reduced high-density lipoprotein levels, significantly increases the risk of cardiovascular diseases. Vitamin D, essential for calcium regulation and...

VaxPulse: Active Global Vaccine Infodemic Risk Assessment.

Studies in health technology and informatics
Vaccine infodemics, driven by misinformation, disinformation, and inauthentic online behaviours, pose significant threats to global public health. This paper presents our response to this challenge, demonstrating how we developed VaxPulse Vaccine Inf...