AIMC Topic: Machine Learning

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Machine learning classification of inflammatory bowel disease activity using white blood cell subsets.

BMJ open gastroenterology
OBJECTIVE: The lack of a rapid, validated, consistent test for tracking disease activity in patients with inflammatory bowel disease (IBD) is currently a major challenge. Currently used biomarkers have notable disadvantages, such as the slow processi...

Climate stability and low population pressure predict peaceful interactions over 10,000 years of Central Andean history.

Science advances
As anthropogenic climate change threatens to destabilize global societies and ecosystems, anticipating likely human responses becomes ever more urgent. A key global initiative is the promotion of peaceful relations. Nonetheless, studies that systemat...

Machine Learning and Arrhythmia: Advances in Atrial Fibrillation Detection and Management.

Current atherosclerosis reports
PURPOSE OF REVIEW: In this paper we review recent advancements in the diagnosis and management of atrial fibrillation through machine learning (ML).

Land use change and soil salinization in the Sundarbans: a machine-learning based analysis of long-term transformation and future projections.

Environmental monitoring and assessment
Quantitative data on coastal land use changes are essential for effective resource management and sustainable development. In this study, we examined land use and land cover (LULC) changes, along with erosion and accretion, in the climate-sensitive S...

Stable isotope profiling and machine learning for determining cocoa origin, ingredient composition, and cocoa content in Brazilian chocolates.

Food chemistry
Chocolate is a versatile product with flavours ranging from sweet to bitter. Cocoa, from a C3-photosynthetic plant, is its main raw material, while sugar from sugarcane (C4-metabolism) is commonly used. We analyzed the δ13C and δ15N composition of Br...

Morphological characterization and machine learning-based hyperspectral identification of naturally pigmented traditional Chinese starches.

Food chemistry
As an intangible cultural heritage, food products derived from naturally pigmented traditional starches are facing a market trust crisis due to the adulteration of dyed starch. This study aimed to develop an integrated identification system to differ...

SpecQuality: A Tool for Reliable Spectral Quality Assessment in Proteomics and Proteogenomics.

Journal of the American Society for Mass Spectrometry
Proteogenomics integrates genomics and mass spectrometry (MS) data to understand complex biological systems, disease mechanisms, and potential biomarkers. However, the high volume and noise in MS data present computational and interpretational challe...

Integrating inflammatory biomarkers and demographic variables with machine learning to predict endometriosis risk.

Scientific reports
This study explores the relationship between inflammatory biomarkers and the risk of endometriosis, aiming to develop a predictive model using National Health and Nutrition Examination Survey (1999-2006) data. The dataset included 4,089 females with ...