AIMC Topic: Blood Circulation

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Identifying prostate cancer and its clinical risk in asymptomatic men using machine learning of high dimensional peripheral blood flow cytometric natural killer cell subset phenotyping data.

eLife Jul 28, 2020
We demonstrate that prostate cancer can be identified by flow cytometric profiling of blood immune cell subsets. Herein, we profiled natural killer (NK) cell subsets in the blood of 72 asymptomatic men with Prostate-Specific Antigen (PSA) levels < 20...
Asymptomatic Diseases Blood Circulation Practice Guidelines as Topic Killer Cells, Natural Diagnostic Techniques, Urological Middle Aged Risk Assessment Prostate-Specific Antigen Flow Cytometry Prostatic Neoplasms Aged, 80 and over Male Machine Learning Aged Humans
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Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches.

International journal of molecular sciences Mar 27, 2020
Flow cytometry nowadays is among the main working instruments in modern biology paving the way for clinics to provide early, quick, and reliable diagnostics of many blood-related diseases. The major problem for clinical applications is the detection ...
Cell Separation Rare Diseases Hematologic Diseases Neoplastic Cells, Circulating Magnetics Fluorescent Dyes Cell Tracking Staining and Labeling Diagnostic Tests, Routine Blood Circulation Diagnostic Imaging Automation Humans Flow Cytometry Deep Learning
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Applications of machine learning for simulations of red blood cells in microfluidic devices.

BMC bioinformatics Mar 11, 2020
BACKGROUND: For optimization of microfluidic devices for the analysis of blood samples, it is useful to simulate blood cells as elastic objects in flow of blood plasma. In such numerical models, we primarily need to take into consideration the moveme...
Blood Circulation Membrane Fluidity Lab-On-A-Chip Devices Microfluidics Erythrocytes Humans Machine Learning Biomechanical Phenomena
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Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Synthetic data is a powerful tool in training data hungry deep learning algorithms. However, to date, camera-based physiological sensing has not taken full advantage of these techniques. In this work, we leverage a high-fidelity synthetics pipeline f...
Face Respiration Blood Circulation Algorithms Deep Learning
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The Performance of an Artificial Neural Network Model in Predicting the Early Distribution Kinetics of Propofol in Morbidly Obese and Lean Subjects.

Anesthesia and analgesia Nov 1, 2020
BACKGROUND: Induction of anesthesia is a phase characterized by rapid changes in both drug concentration and drug effect. Conventional mammillary compartmental models are limited in their ability to accurately describe the early drug distribution kin...
Neural Networks, Computer Algorithms Female Humans Nonlinear Dynamics Anesthesia, Intravenous Blood Circulation Anesthetics, Intravenous Obesity, Morbid Propofol Predictive Value of Tests Models, Biological Body Weight Body Composition Male Middle Aged Reproducibility of Results Adult
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Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning-Based Analysis of Chest Radiographs.

JAMA cardiology Apr 1, 2020
IMPORTANCE: Chest radiography is a useful noninvasive modality to evaluate pulmonary blood flow status in patients with congenital heart disease. However, the predictive value of chest radiography is limited by the subjective and qualitive nature of ...
Humans Radiography, Thoracic Heart Defects, Congenital Female Pulmonary Circulation Child, Preschool Retrospective Studies Male Blood Circulation Child Radiographic Image Interpretation, Computer-Assisted Infant Deep Learning
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