AIMC Topic: Thrombocytopenia

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Identification of Active Molecules against Thrombocytopenia through Machine Learning.

Journal of chemical information and modeling Aug 7, 2024
Thrombocytopenia, which is associated with thrombopoietin (TPO) deficiency, presents very limited treatment options and can lead to life-threatening complications. Discovering new therapeutic agents against thrombocytopenia has proven to be a challen...
Computer Simulation Drug Discovery Blood Platelets Thrombocytopenia Megakaryocytes Humans Machine Learning Algorithms
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Retrospective analysis of interpretable machine learning in predicting ICU thrombocytopenia in geriatric ICU patients.

Scientific reports Jul 20, 2024
We developed an interpretable machine learning algorithm that prospectively predicts the risk of thrombocytopenia in older critically ill patients during their stay in the intensive care unit (ICU), ultimately aiding clinical decision-making and impr...
Aged Humans Aged, 80 and over Machine Learning Male Algorithms ROC Curve Critical Illness Thrombocytopenia Retrospective Studies Intensive Care Units Clinical Decision-Making Female
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Estimation of linezolid exposure in patients with hepatic impairment using machine learning based on a population pharmacokinetic model.

European journal of clinical pharmacology May 8, 2024
PURPOSE: To investigate the pharmacokinetic changes of linezolid in patients with hepatic impairment and to explore a method to predict linezolid exposure.
Humans Machine Learning Anti-Bacterial Agents Liver Diseases Monte Carlo Method Linezolid Thrombocytopenia Male Middle Aged Area Under Curve Models, Biological Female Risk Factors Aged Adult
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An Innovative Inducer of Platelet Production, Isochlorogenic Acid A, Is Uncovered through the Application of Deep Neural Networks.

Biomolecules Feb 23, 2024
(1) Background: Radiation-induced thrombocytopenia (RIT) often occurs in cancer patients undergoing radiation therapy, which can result in morbidity and even death. However, a notable deficiency exists in the availability of specific drugs designed f...
Humans Neural Networks, Computer Thrombocytopenia Algorithms Deep Learning United States Chlorogenic Acid
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Identification of thrombopoiesis inducer based on a hybrid deep neural network model.

Thrombosis research Apr 14, 2023
Thrombocytopenia is a common haematological problem worldwide. Currently, there are no relatively safe and effective agents for the treatment of thrombocytopenia. To address this challenge, we propose a computational method that enables the discovery...
Thrombocytopenia Thrombopoiesis Artificial Intelligence Algorithms Animals Mice Neural Networks, Computer
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Predictive value of red blood cell distribution width in septic shock patients with thrombocytopenia: A retrospective study using machine learning.

Journal of clinical laboratory analysis Oct 21, 2021
BACKGROUND: Sepsis-associated thrombocytopenia (SAT) is common in critical patients and results in the elevation of mortality. Red cell distribution width (RDW) can reflect body response to inflammation and oxidative stress. We try to investigate the...
Comorbidity Hospital Mortality Shock, Septic Erythrocyte Indices Propensity Score Kaplan-Meier Estimate Thrombocytopenia Female Aged Male Middle Aged Humans Machine Learning Prognosis Retrospective Studies
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Machine Learning-based Development and Validation of a Scoring System for Screening High-Risk Esophageal Varices.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Jan 29, 2019
BACKGROUND & AIMS: Many patients with cirrhosis who undergo esophagogastroduodenoscopy (EGD) screening for esophageal varices (EVs) are found to have no or only small EVs. Endoscopic screening for EVs is therefore a potentially deferrable procedure t...
Alanine Transaminase Severity of Illness Index Aged Liver Cirrhosis Male Endoscopy, Digestive System Hemoglobins Esophageal and Gastric Varices Humans Aspartate Aminotransferases Mass Screening Middle Aged Sodium Machine Learning International Normalized Ratio Bilirubin Thrombocytopenia Ascites Risk Assessment Platelet Count Prospective Studies Gastrointestinal Hemorrhage Liver Cirrhosis, Alcoholic Creatinine Hepatitis C, Chronic Female Hepatic Encephalopathy Non-alcoholic Fatty Liver Disease Serum Albumin Blood Urea Nitrogen
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Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning.

Medical care Mar 1, 2021
BACKGROUND: Clinical laboratories have traditionally used a single critical value for thrombocytopenic events. This system, however, could lead to inaccuracies and inefficiencies, causing alarm fatigue and compromised patient safety.
Male Risk Assessment Length of Stay Machine Learning Time Factors Forecasting Humans Hospital Mortality Female Support Vector Machine Hospitalization Bayes Theorem Thrombocytopenia
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Mapping the global potential transmission hotspots for severe fever with thrombocytopenia syndrome by machine learning methods.

Emerging microbes & infections Dec 1, 2020
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with increasing spread. Currently SFTS transmission has expanded beyond Asian countries, however, with definitive global extents and risk patterns remained obscure. ...
Global Health Middle Aged Adolescent Child, Preschool Child Disease Vectors Communicable Diseases, Emerging Thrombocytopenia Young Adult Adult Animals Humans Female Bunyaviridae Infections Male Machine Learning Temperature Ixodidae Aged Phlebovirus Aged, 80 and over
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