AIMC Topic: Aged, 80 and over

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Identification of Tissue of Origin and Guided Therapeutic Applications in Cancers of Unknown Primary Using Deep Learning and RNA Sequencing (TransCUPtomics).

The Journal of molecular diagnostics : JMD Jul 26, 2021
Cancers of unknown primary (CUP) are metastatic cancers for which the primary tumor is not found despite thorough diagnostic investigations. Multiple molecular assays have been proposed to identify the tissue of origin (TOO) and inform clinical care;...
Prospective Studies Retrospective Studies Female Aged Aged, 80 and over Adult Biomarkers, Tumor Male Middle Aged Transcriptome Humans Deep Learning RNA-Seq Data Accuracy Neoplasms, Unknown Primary Gene Fusion
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A hybrid machine learning/pharmacokinetic approach outperforms maximum a posteriori Bayesian estimation by selectively flattening model priors.

CPT: pharmacometrics & systems pharmacology Jul 26, 2021
Model-informed precision dosing (MIPD) approaches typically apply maximum a posteriori (MAP) Bayesian estimation to determine individual pharmacokinetic (PK) parameters with the goal of optimizing future dosing regimens. This process combines knowled...
Male Middle Aged Bayes Theorem Models, Biological Vancomycin Anti-Bacterial Agents Female Aged Aged, 80 and over Adult Drug Dosage Calculations Pharmacokinetics Humans Machine Learning
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Classification of glioblastoma versus primary central nervous system lymphoma using convolutional neural networks.

Scientific reports Jul 26, 2021
A subset of primary central nervous system lymphomas (PCNSL) are difficult to distinguish from glioblastoma multiforme (GBM) on magnetic resonance imaging (MRI). We developed a convolutional neural network (CNN) to distinguish these tumors on contras...
Aged, 80 and over Young Adult Adult Brain Neoplasms Humans Male Neural Networks, Computer Machine Learning Female Aged Diagnosis, Differential Glioblastoma Middle Aged Lymphoma Magnetic Resonance Imaging
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Diagnosis and Treatment Effect of Convolutional Neural Network-Based Magnetic Resonance Image Features on Severe Stroke and Mental State.

Contrast media & molecular imaging Jul 26, 2021
The purpose of this paper is to explore the impact of magnetic resonance imaging (MRI) image features based on convolutional neural network (CNN) algorithm and conditional random field on the diagnosis and mental state of patients with severe stroke....
Case-Control Studies Cognitive Dysfunction Aged Image Processing, Computer-Assisted Aged, 80 and over Follow-Up Studies Adult Stroke Humans Magnetic Resonance Imaging Male Cerebral Small Vessel Diseases Neural Networks, Computer Middle Aged Algorithms Prognosis Female
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Artificial Intelligence-Enabled ECG to Identify Silent Atrial Fibrillation in Embolic Stroke of Unknown Source.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 22, 2021
OBJECTIVES: Embolic strokes of unknown source (ESUS) are common and often suspected to be caused by unrecognized paroxysmal atrial fibrillation (AF). An AI-enabled ECG (AI-ECG) during sinus rhythm has been shown to identify patients with unrecognized...
Action Potentials Predictive Value of Tests Signal Processing, Computer-Assisted Registries Electrocardiography, Ambulatory Atrial Fibrillation Heart Rate Embolic Stroke Aged, 80 and over Male Middle Aged Risk Assessment Time Factors Artificial Intelligence Female Risk Factors Hospitalization Aged Humans
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Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning.

Cancer science Jul 21, 2021
Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) is a new bisulfite-free technique, which can detect the whole-genome methylation of blood cell-free DNA (cfDNA). Using this technique, we identified differentia...
Machine Learning Prognosis Female Aged Aged, 80 and over Humans Lung Neoplasms DNA Methylation Cell-Free Nucleic Acids Multiple Pulmonary Nodules High-Throughput Nucleotide Sequencing Immunoprecipitation Adult Sensitivity and Specificity Male Middle Aged Case-Control Studies
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Survival prognostic factors in patients with acute myeloid leukemia using machine learning techniques.

PloS one Jul 21, 2021
This paper identifies prognosis factors for survival in patients with acute myeloid leukemia (AML) using machine learning techniques. We have integrated machine learning with feature selection methods and have compared their performances to identify ...
Leukemia, Myeloid, Acute Male Middle Aged Adolescent Predictive Value of Tests Risk Factors Aged Aged, 80 and over Adult Survival Rate Models, Biological Disease-Free Survival Humans Machine Learning Female
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Distinct tumor signatures using deep learning-based characterization of the peritumoral microenvironment in glioblastomas and brain metastases.

Scientific reports Jul 14, 2021
Tumor types are classically distinguished based on biopsies of the tumor itself, as well as a radiological interpretation using diverse MRI modalities. In the current study, the overarching goal is to demonstrate that primary (glioblastomas) and seco...
Female Deep Learning Reproducibility of Results Aged Image Processing, Computer-Assisted Aged, 80 and over Glioblastoma Humans Young Adult Diffusion Magnetic Resonance Imaging Adult Tumor Microenvironment Brain Neoplasms Male Middle Aged
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Predicting self-intercepted medication ordering errors using machine learning.

PloS one Jul 14, 2021
Current approaches to understanding medication ordering errors rely on relatively small manually captured error samples. These approaches are resource-intensive, do not scale for computerized provider order entry (CPOE) systems, and are likely to mis...
Aged ROC Curve Middle Aged Aged, 80 and over Logistic Models Infant Humans Medication Errors Young Adult Adolescent Machine Learning Medical Order Entry Systems Adult Child, Preschool Female Male Child
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Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy.

The Journal of investigative dermatology Jul 13, 2021
Basal cell carcinoma (BCC) is the most common skin cancer, with over 2 million cases diagnosed annually in the United States. Conventionally, BCC is diagnosed by naked eye examination and dermoscopy. Suspicious lesions are either removed or biopsied ...
Skin Neoplasms Carcinoma, Basal Cell Dermoscopy Reproducibility of Results Aged Aged, 80 and over Humans Artificial Intelligence Female Biopsy Models, Biological Automation Physical Examination Adult Male Middle Aged Deep Learning Microscopy, Confocal
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