AIMC Topic: Heterocyclic Compounds, 1-Ring
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Machine learning models for enhanced diagnosis and risk assessment of prostate cancer with Ga-PSMA-617 PET/CT.
European journal of radiology
Mar 19, 2025
OBJECTIVE: Prostate cancer (PCa) is highly heterogeneous, making early detection of adverse pathological features crucial for improving patient outcomes. This study aims to predict PCa aggressiveness and identify radiomic and protein biomarkers assoc...
Humans
Machine Learning
Retrospective Studies
Aged
Aged, 80 and over
Sensitivity and Specificity
Biomarkers, Tumor
Male
Middle Aged
Risk Assessment
Positron Emission Tomography Computed Tomography
Prostatic Neoplasms
Prostate-Specific Antigen
Radiopharmaceuticals
Dipeptides
Gallium Radioisotopes
Gallium Isotopes
Heterocyclic Compounds, 1-Ring
Multi-modality deep learning-based [Ga]Ga-DOTA-FAPI-04 PET polar map generation: potential value in detecting reactive fibrosis after myocardial infarction.
European journal of nuclear medicine and molecular imaging
Jul 26, 2024
PURPOSE: Generating polar map (PM) from [Ga]Ga-DOTA-FAPI-04 PET images is challenging and inaccurate using existing automatic methods that rely on the myocardial anatomical integrity in PET images. This study aims to enhance the accuracy of PM genera...
DOTA: Deep Learning Optimal Transport Approach to Advance Drug Repositioning for Alzheimer's Disease.
Biomolecules
Jan 24, 2022
Alzheimer's disease (AD) is the leading cause of age-related dementia, affecting over 5 million people in the United States and incurring a substantial global healthcare cost. Unfortunately, current treatments are only palliative and do not cure AD. ...
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