AIMC Topic: Female

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Artificial intelligence modeling of biomarker-based physiological age: Impact on phase 1 drug-metabolizing enzyme phenotypes.

CPT: pharmacometrics & systems pharmacology Nov 14, 2024
Age and aging are important predictors of health status, disease progression, drug kinetics, and effects. The purpose was to develop ensemble learning-based physiological age (PA) models for evaluating drug metabolism. National Health and Nutrition E...
Phenotype Models, Biological Biomarkers Female Adolescent Aged Nutrition Surveys Age Factors Young Adult Bayes Theorem Adult Male Aging Middle Aged Humans Artificial Intelligence
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Use of machine learning to identify prognostic variables for outcomes in chronic low back pain treatment: a retrospective analysis.

The Journal of manual & manipulative therapy Nov 14, 2024
OBJECTIVES: Most patients seen in physical therapy (PT) clinics for low back pain (LBP) are treated for chronic low back pain (CLBP), yet PT interventions suggest minimal effectiveness. The Cochrane Back Review Group proposed 'Holy Grail' questions, ...
Humans Machine Learning Prognosis Retrospective Studies Female Risk Factors Adult Male Middle Aged Treatment Outcome Low Back Pain Physical Therapy Modalities Chronic Pain
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Predicting Fear of Breast Cancer Recurrence in women five years after diagnosis using Machine Learning and healthcare reimbursement data from the French nationwide VICAN survey.

International journal of medical informatics Nov 14, 2024
OBJECTIVE: A major concern for cancer survivors after treatment is the Fear of Cancer Recurrence (FCR), which is the fear that cancer will reappear or progress. This fear can be exacerbated by medical uncertainty about the future, leading to harmful ...
Surveys and Questionnaires Neoplasm Recurrence, Local Aged France Adult Fear Humans Cancer Survivors Breast Neoplasms Machine Learning Insurance, Health, Reimbursement Middle Aged Algorithms Female
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A machine learning approach to stratify patients with hypermobile Ehlers-Danlos syndrome/hypermobility spectrum disorders according to disorders of gut brain interaction, comorbidities and quality of life.

Neurogastroenterology and motility Nov 14, 2024
BACKGROUND: A high prevalence of disorders of gut-brain interaction (DGBI) exist in patients with hypermobile Ehlers-Danlos Syndrome (hEDS) and hypermobility spectrum disorders (HSD). However, it is unknown if clusters of hEDS/HSD patients exist whic...
Joint Instability Brain-Gut Axis Ehlers-Danlos Syndrome Male Middle Aged Quality of Life Comorbidity Humans Machine Learning Prospective Studies Female Adult
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Improved prognostication of overall survival after radiotherapy in lung cancer patients by an interpretable machine learning model integrating lung and tumor radiomics and clinical parameters.

La Radiologia medica Nov 14, 2024
BACKGROUND: Accurate prognostication of overall survival (OS) for non-small cell lung cancer (NSCLC) patients receiving definitive radiotherapy (RT) is crucial for developing personalized treatment strategies. This study aims to construct an interpre...
Machine Learning Prognosis Retrospective Studies Tomography, X-Ray Computed Female Aged Radiomics Male Middle Aged Humans Lung Neoplasms Carcinoma, Non-Small-Cell Lung Neoplasm Staging
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Automatic localization and deep convolutional generative adversarial network-based classification of focal liver lesions in computed tomography images: A preliminary study.

Journal of gastroenterology and hepatology Nov 14, 2024
BACKGROUND AND AIM: Computed tomography of the abdomen exhibits subtle and complex features of liver lesions, subjectively interpreted by physicians. We developed a deep learning-based localization and classification (DLLC) system for focal liver les...
Male Retrospective Studies Humans Tomography, X-Ray Computed Liver Middle Aged Female Liver Diseases Deep Learning Aged Generative Adversarial Networks Liver Neoplasms Adult
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Exploring geriatric nurses' perspectives on the adoption of AI in elderly care a qualitative study.

Geriatric nursing (New York, N.Y.) Nov 14, 2024
This phenomenological study explored the perspectives of geriatric nurses on the adoption of artificial intelligence (AI) in elderly care. Thematic analysis of semi-structured interviews with 17 nurses revealed perceived benefits, challenges, ethical...
Geriatric Nursing Middle Aged Qualitative Research Attitude of Health Personnel Interviews as Topic Female Aged Adult Male Humans Artificial Intelligence
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Identification of diagnostic genes and the miRNA‒mRNA‒TF regulatory network in human oocyte aging via machine learning methods.

Journal of assisted reproduction and genetics Nov 14, 2024
PURPOSE: Oocyte aging is a significant factor in the negative reproductive outcomes of older women. However, the pathogenesis of oocyte aging remains unclear. This study aimed to identify the hub genes involved in oocyte aging via bioinformatics meth...
MicroRNAs Cellular Senescence Oocytes Humans Machine Learning Female Gene Expression Profiling Gene Regulatory Networks Computational Biology RNA, Messenger Transcription Factors
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Extracting social determinants of health from inpatient electronic medical records using natural language processing.

Journal of epidemiology and population health Nov 14, 2024
BACKGROUND: Social determinants of health (SDOH) have been shown to be important predictors of health outcomes. Here we developed methods to extract them from inpatient electronic medical record (EMR) data using techniques compatible with current EMR...
Adult Male Middle Aged Adolescent Natural Language Processing Female Inpatients Social Determinants of Health Humans Educational Status Alberta Hospitalization Algorithms Communication Barriers Aged Electronic Health Records
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Deep learning based ultra-low dose fan-beam computed tomography image enhancement algorithm: Feasibility study in image quality for radiotherapy.

Journal of applied clinical medical physics Nov 14, 2024
OBJECTIVE: We investigated the feasibility of deep learning-based ultra-low dose kV-fan-beam computed tomography (kV-FBCT) image enhancement algorithm for clinical application in abdominal and pelvic tumor radiotherapy.
Algorithms Prospective Studies Tomography, X-Ray Computed Female Male Humans Organs at Risk Radiotherapy Planning, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Pelvic Neoplasms Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Radiotherapy, Image-Guided Radiographic Image Enhancement Radiotherapy Dosage Radiotherapy, Intensity-Modulated Phantoms, Imaging Abdominal Neoplasms
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