Search Results - cardiological+diseases+treatment

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Novel Therapeutic Target to Promoting Cardiomyocyte Proliferation and Enhance Cardiac Regeneration for Myocardial Injury and Disease
Advantages: Identification of MRPS5 as a Therapeutic Target: Reduction of MRPS5 expression stimulates cardiomyocyte proliferation and enhances heart function Discovery of the MRPS5 signaling axis: Decreased MRPS5 enhances ATF4 and Knl1, which promote cardiomyocyte, boosting cardiac recovery after myocardial injury Improved Survival and Cardiac...
Published: 11/22/2024   |   Inventor(s): Da-Zhi Wang, John Mably
Keywords(s): Biotechnology, Cardiological Diseases Treatment, Cell & Tissue Culture & Engineering, Medical Diagnostics, Pharmaceuticals
Category(s): Technology Classifications > Medical > Biotechnology, Technology Classifications > Medical > Medical Diagnostics, Technology Classifications > Medical > Cell & Tissue Engineering, Technology Classifications > Medical > Pharmaceuticals
Kcnab2 Conditional Knockout Mouse Model
­Advantages: A new Kcnab2 exon 4-floxed mice, suitable for experimental models to study muscle development, regeneration, and pathogenesis Kcnab2 exon 4-floxed mice were successfully generated using CRISPR/Case9 technology Allows for specific study of the Kcanb2 function on skeletal muscle (e.g. TA) without significant changes in the brain...
Published: 11/7/2024   |   Inventor(s): Srinivas Tipparaju
Keywords(s): Animal Models, Cardiological Diseases Treatment, Cardiovascular Diseases
Category(s): Technology Classifications > Medical > Biomedical Engineering, Technology Classifications > Medical > Cell & Tissue Engineering
A Constitutive-based Machine Learning Model for The Identification of Active Contraction Properties in the Ventricular Myocardium
­Advantages: The deep learning-based approach enables accurate forecasting of left ventricular active contractions, providing early indicators of potential cardiovascular diseases, allowing for timely intervention and improved patient outcomes. The technology utilizes clinical metrics and imaging data, avoiding invasive procedures, and reducing...
Published: 8/15/2023   |   Inventor(s): Igor Nobrega
Keywords(s): Cardiological Diseases Treatment, Cardiovascular Diseases, Machine Learning
Category(s): Technology Classifications > Medical > Biomedical Engineering, Technology Classifications > Medical > Medical Diagnostics, Technology Classifications > Medical > Medical Imaging
Machine Learning Refinement of Mortality Prediction in High-Risk Cardiac Surgery
­Advantages: By incorporating machine learning algorithms and the LIME approach, this research aims to refine the existing risk prediction models used in high-risk cardiac surgery. The use of refined risk prediction models can assist surgeons in operative decision-making. By providing a clearer understanding of the potential outcomes and risks...
Published: 7/26/2023   |   Inventor(s): Abhinav Harish
Keywords(s): Cardiological Diseases Treatment, Datasets, Healthcare Training and Patient Evaluation and Software, Machine Learning
Category(s): Technology Classifications > Medical > Surgery, Technology Classifications > Computer Science > Computers Software & Information Technology, Technology Classifications > Computer Science > Algorithms, Technology Classifications > Computer Science > Datasets
Bio Acoustic Signal Feature Extraction and Pattern Recognition Framework
Competitive Advantages Accurate abnormality classification Accurate sinus rhythm recognition Novel feature extraction and machine framework Quantitatively validated results Summary USF researchers have developed a machine learning framework to identify the patterns of cardiac sounds. The acoustic sounds are obtained from the body site and are...
Published: 5/30/2023   |   Inventor(s): Prashanth Chetlur Adithya, Shraddha Pandey, Ravi Sankar, Wilfrido Moreno
Keywords(s): Cardiological Diseases Treatment, Cardiovascular Diseases
Category(s): Technology Classifications > Software, Technology Classifications > Medical, Technology Classifications > Medical > Medical Diagnostics