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1. A multimodal machine learning model for predicting dementia conversion in Alzheimer’s disease

4. Experimental analysis and prediction of radionuclide solubility using machine learning models: Effects of organic complexing agents

8. Machine Learning-Based Prediction of Pulmonary Embolism to Reduce Unnecessary Computed Tomography Scans in Gastrointestinal Cancer Patients: A Retrospective Multicenter Study

12. Pressure-insensitive magnetic shear force sensor with pillar structure for versatile application

18. Antiproliferative Activity of Piceamycin by Regulating Alpha-Actinin-4 in Gemcitabine-Resistant Pancreatic Cancer Cells

19. Sorption Behavior of Radionuclides on Engineered and Natural Barriers and Prediction of Sorption Distribution Coefficients Using Support Vector Regression

21. Prediction of short‐term MCI‐to‐AD conversion using multi‐modal neuroimaging features, and demographics

25. Abstract 16458: Long-Term Exposure to Air Pollutants and the Risk of Hypertension: Insights From the Korean Genome Epidemiologic Survey Project

27. Clinical Factors, Treatment Selection, and Outcomes in Postcataract Fungal Endophthalmitis from Contaminated Viscoelastics

36. Side‐by‐side placement of fully covered metal stents vs. conventional 7F plastic stents in malignant hilar biliary obstruction: A prospective randomized controlled trial

38. Diagnosing Hepatocellular Carcinoma Using Sonazoid Contrast-Enhanced Ultrasonography: 2023 Guidelines from the Korean Society of Radiology and the Korean Society of Abdominal Radiology

48. Antiproliferative Activity of Krukovine by Regulating Transmembrane Protein 139 (TMEM139) in Oxaliplatin-Resistant Pancreatic Cancer Cells

49. Concurrent self-assembly of RGB microLEDs for next-generation displays

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