AIMC Topic: Machine Learning

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Personalized azithromycin treatment rules for children with watery diarrhea using machine learning.

Nature communications Jul 1, 2025
We use machine learning to identify innovative strategies to target azithromycin to the children with watery diarrhea who are most likely to benefit. Using data from a randomized trial of azithromycin for watery diarrhea (NCT03130114), we develop per...
Azithromycin Diarrhea Humans Infant Precision Medicine Machine Learning Female Anti-Bacterial Agents Child, Preschool Treatment Outcome Male Child
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A machine learning model using clinical notes to identify physician fatigue.

Nature communications Jul 1, 2025
Clinical notes should capture important information from a physician-patient encounter, but they may also contain signals indicative of physician fatigue. Using data from 129,228 emergency department (ED) visits, we train a model to identify notes wr...
Female Male Humans Workload Emergency Service, Hospital Machine Learning Fatigue Physicians Electronic Health Records
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Machine learning reveals genes impacting oxidative stress resistance across yeasts.

Nature communications Jul 1, 2025
Reactive oxygen species (ROS) are highly reactive molecules encountered by yeasts during routine metabolism and during interactions with other organisms, including host infection. Here, we characterize the variation in resistance to the ROS-inducing ...
Oxidoreductases Kluyveromyces Mannosyltransferases Gene Expression Regulation, Fungal Genes, Fungal tert-Butylhydroperoxide Oxidative Stress Reactive Oxygen Species Machine Learning Fungal Proteins Saccharomyces cerevisiae
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Harnessing artificial intelligence for detection of pancreatic cancer: a machine learning approach.

Clinical and experimental medicine Jul 1, 2025
PURPOSE: Pancreatic cancer (PC) is one of the most lethal malignancies, often presenting with nonspecific symptoms and a dismal prognosis. Despite advancements in treatments, the 5-year survival rate remains low, highlighting the urgent need for effe...
Sensitivity and Specificity Biomarkers, Tumor Male Machine Learning Female Aged MicroRNAs Pancreatic Neoplasms Porphyromonas gingivalis Aggregatibacter actinomycetemcomitans Middle Aged Case-Control Studies Early Detection of Cancer Humans Artificial Intelligence
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Harnessing AI for Improved Diagnosis and Management of Pediatric Sepsis: Current Advances, Challenges, and Future Directions.

Pediatric emergency care Jul 1, 2025
Artificial intelligence (AI) has been applied to early recognition and management of rapidly progressive, community-acquired pediatric sepsis, a leading cause of childhood mortality. The broad adoption of electronic health records combined with rapid...
Electronic Health Records Sepsis Child Humans Artificial Intelligence Machine Learning
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Fully automated measurement of paediatric cerebral palsy pelvic radiographs with BoneFinder : external validation using a national surveillance database.

The bone & joint journal Jul 1, 2025
AIMS: BoneFinder is a machine-learning tool that can automatically calculate Reimers migration percentage (RMP) and head-shaft angle (HSA) from paediatric cerebral palsy (CP) pelvic radiographs. This study's primary aim was to compare BoneFinder's fu...
Pelvic Bones Radiography Cerebral Palsy Adolescent Child, Preschool Child Humans Machine Learning Databases, Factual Male Infant Female Reproducibility of Results
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Data augmentation of time-series data in human movement biomechanics: A scoping review.

PloS one Jul 1, 2025
BACKGROUND: The integration of machine learning and deep learning methodologies has transformed data analytics in biomechanics. However, the field faces challenges such as limited large-scale data sets, high data acquisition costs, and restricted par...
Humans Machine Learning Algorithms Movement Biomechanical Phenomena Deep Learning
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Identification of plasma proteins associated with seizures in epilepsy: A consensus machine learning approach.

PloS one Jul 1, 2025
Blood-based biomarkers in epilepsy could constitute important research tools advancing neurobiological understanding and valuable clinical tools for better diagnosis and follow-up. An interesting question is whether biomarker patterns could contribut...
Humans Middle Aged Proteomics Blood Proteins Machine Learning Young Adult Epilepsy Biomarkers Adult Seizures Female Male
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Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept study.

PloS one Jul 1, 2025
BACKGROUND: Acute kidney injury (AKI) and acute kidney disease (AKD) are frequent complications of hospitalization, resulting in reduced outcomes and increased cost burden. However, these conditions are only sometimes recognized and promptly treated....
Aged Humans Electronic Health Records Machine Learning Adult Middle Aged Algorithms Female Male Proof of Concept Study Retrospective Studies Hospitalization Acute Kidney Injury
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Empowering heart attack treatment for women through machine learning and optimization techniques.

Computers in biology and medicine Jun 30, 2025
Heart attack detection and treatment in women remain significantly under-optimized due to differences in symptom presentation and physiological characteristics compared to men, leading to delayed or incorrect diagnoses. Addressing this gap, this stud...
Female Aged Middle Aged Myocardial Infarction Humans Machine Learning Algorithms
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