AIMC Topic: Humans

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Mass Spectrometry Proteomics: A Key to Faster Drug Discovery.

Journal of medicinal chemistry
Mass spectrometry (MS)-based proteomics is a disruptive platform in drug discovery that offers an exhaustive view of the proteome's complexity. Focusing on bottom-up MS proteomics, this technology enables high-throughput analysis of protein expressio...

Deep learning-based 3D automatic segmentation of impacted canines in CBCT scans.

BMC oral health
BACKGROUND: Impacted canines are one of the most frequently encountered dental anomalies in maxillofacial practice. Accurate localization of these teeth is crucial for treatment planning, and Cone Beam Computed Tomography (CBCT) offers detailed 3D im...

HiSTaR: identifying spatial domains with hierarchical spatial transcriptomics variational autoencoder.

Journal of translational medicine
BACKGROUND: The development of spatial transcriptomics (ST) has enabled biologists to measure transcriptome data on an entire tissue and retain spatial information. It gives us the opportunity to fully understand the tissue microenvironment and ident...

Diagnosis of chronic fatigue syndrome using beat-to-beat autonomic measurements.

Journal of translational medicine
BACKGROUND: An artificial intelligence (AI) pipeline was used to differentiate patients suffering from Chronic Fatigue Syndrome (CFS) from healthy controls (HC) based on high-frequency, large-scale data obtained using beat-to-beat measurement of the ...

Evaluating Ecosystem Services of Ecological Restoration in Mining Areas: A Modified Choice Experiment Approach.

Environmental management
Unsustainable mining practices have led to severe ecosystem degradation in mining areas. Ecological restoration plays a crucial role in reinstating the ecosystem service functions of these areas. A monetary evaluation of the ecosystem service value g...

Establishment of a postoperative delirium risk prediction model for elderly hip fracture patients based on machine learning algorithms.

BMC geriatrics
BACKGROUND: Although no definitive treatment exists, 30-40% of postoperative delirium cases are preventable through early risk identification and intervention. Therefore our aim was to develop and evaluate a postoperative delirium risk prediction mod...

Research on drug-drug interaction prediction using capsule neural network based on self-attention mechanism.

BMC bioinformatics
BACKGROUND: Multi-drug combinations represent an effective strategy for treating complex diseases. However, due to the vast number of unknown interactions among drugs, accurately predicting drug-drug interactions (DDIs) is essential for preventing ad...

The mediating role of brand equity in corporate social responsibility and customer purchase intention based on text-CNN model.

Scientific reports
In the digital era, corporate social responsibility (CSR) has become a crucial factor influencing consumer purchase behavior. To investigate the mechanism through which CSR affects customer purchase intention (CPI) and to examine the mediating role o...

A baseline study of interpretable machine learning using GC-MS breath VOCs for classifying asthma, bronchiectasis, and COPD.

Scientific reports
Accurate differentiation among asthma, bronchiectasis, and chronic obstructive pulmonary disease (COPD) remains a critical challenge due to overlapping clinical symptoms and limitations of conventional diagnostic tools. This study establishes a trans...

Identifying toxicological effects of perfluoroalkyl and polyfluoroalkyl substances exposure on osteoarthritis.

Scientific reports
Perfluoroalkyl and polyfluoroalkyl substances (PFAS) pose a significant challenge due to their persistence, bioaccumulation, and multi-system toxicity. Their impact on degenerative diseases, particularly osteoarthritis (OA), remains understudied, nec...