AIMC Topic: Machine Learning

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Interpretable one-class classification framework for prescription error detection using BERT embeddings and dimensionality reduction.

Computers in biology and medicine Jul 30, 2025
Ensuring accurate prescriptions and proper medication administration is critical for patient safety and effective clinical outcomes. Identifying and preventing prescription errors can significantly reduce healthcare costs and adverse health effects. ...
Dimensionality Reduction Algorithms Drug Prescriptions Medication Errors Humans Machine Learning
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Optimization of spatio-temporal ozone (O) pollution modeling using an ensemble machine model learning with a swarm-based metaheuristic algorithm.

Ecotoxicology and environmental safety Jul 30, 2025
The future of ozone (O) pollution presents significant environmental and public health challenges worldwide. High O levels can harm respiratory health, exacerbating conditions such as asthma and increasing the risk of cardiovascular diseases. Address...
Seasons Iran Air Pollutants Air Pollution Ozone Humans Machine Learning Algorithms Spatio-Temporal Analysis Environmental Monitoring
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Intersection crash analysis considering longitudinal and lateral risky driving behavior from connected vehicle data: A spatial machine learning approach.

Accident; analysis and prevention Jul 30, 2025
Existing intersection safety analysis studies have primarily focused on macro-level static infrastructure and highly aggregated traffic features. The emergence of Connected Vehicle (CV) has enabled researchers to extract micro-level driving behavior ...
Humans Automobile Driving Spatial Analysis Florida Risk-Taking Machine Learning Environment Design Accidents, Traffic
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Trauma-predictive brain network connectivity adaptively responds to mild acute stress.

Proceedings of the National Academy of Sciences of the United States of America Jul 30, 2025
Past traumatic experiences shape neural responses to future stress, but the mechanisms underlying this dynamic interaction remain unclear. Here, we assessed how trauma-related brain networks respond to current acute stress in real time. Using a machi...
Nerve Net Magnetic Resonance Imaging Hydrocortisone Cross-Over Studies Humans Connectome Male Machine Learning Middle Aged Brain Stress, Psychological Female Young Adult Adult
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Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays.

Science advances Jul 30, 2025
Combination therapies enhance the therapeutic effect of cancer treatment; however, identifying effective interdependent doses, durations, and sequences of multidrug administration regimens is a time- and labor-intensive task. Here, we integrated mach...
Neoplasms Cell Line, Tumor Antineoplastic Combined Chemotherapy Protocols Drug Synergism Spheroids, Cellular Organoids Humans Machine Learning
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Establishment of predictive models for postoperative delirium in elderly patients after knee/hip surgery based on total bilirubin concentration: machine learning algorithms.

BMC anesthesiology Jul 30, 2025
BACKGROUND: With the aging demographic on the rise, we're seeing a spike in the occurrence of postoperative delirium (POD). Our research aims to delve into the connection between plasma bilirubin levels and postoperative delirium, with the goal of cr...
Arthroplasty, Replacement, Hip Male Postoperative Complications Predictive Value of Tests Delirium Arthroplasty, Replacement, Knee Bilirubin Female Aged Aged, 80 and over Humans Machine Learning Algorithms
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Prediction of postoperative visual cognitive impairment using graph theory and machine learning based on resting-state brain networks.

BMC medical imaging Jul 30, 2025
BACKGROUND: Visual cognitive impairment is among the most common postoperative cognitive dysfunctions, significantly impacting recovery and quality of life in elderly patients. However, effective preoperative prediction methods remain lacking. We dev...
Brain Female Aged Humans Machine Learning Cognitive Dysfunction Male Magnetic Resonance Imaging Middle Aged Postoperative Cognitive Complications Case-Control Studies
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CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

BMC biology Jul 30, 2025
BACKGROUND: The advent of single-cell RNA sequencing (scRNA-seq) has provided unprecedented insights into cancer cellular diversity, enabling a comprehensive understanding of cancer at the single-cell level. However, identifying cancer cells remains ...
Single-Cell Gene Expression Analysis Sequence Analysis, RNA Transcriptome Single-Cell Analysis RNA-Seq Humans Machine Learning Neoplasms
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Histopathological-based brain tumor grading using 2D-3D multi-modal CNN-transformer combined with stacking classifiers.

Scientific reports Jul 30, 2025
Reliability in diagnosing and treating brain tumors depends on the accurate grading of histopathological images. However, limited scalability, adaptability, and interpretability challenge current methods for frequently grading brain tumors to accurat...
Humans Neural Networks, Computer Machine Learning Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Neoplasm Grading Reproducibility of Results Brain Neoplasms Deep Learning
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Systematic data management for effective AI-driven decision support systems in robotic rehabilitation.

Scientific reports Jul 30, 2025
Robotic rehabilitation is becoming a standard in post-stroke physical rehabilitation, and these setups, often coupled with virtual exercises, collect a large and finely grained amount of data about patients' motor performance, in terms of kinematics ...
Humans Artificial Intelligence Machine Learning Male Middle Aged Female Aged Stroke Rehabilitation Decision Support Systems, Clinical Data Management Robotics
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