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2. Reports from Monash University Malaysia Describe Recent Advances in Diabetic Retinopathy (Analysis and Application of Rectified Complex T-spherical Fuzzy Dombi-choquet Integral Operators for Diabetic Retinopathy Detection Through Fundus Images).
3. Recent Research from ECE Department Highlight Findings in Type 2 Diabetes [A Comprehensive Survey On Diabetes Type-2 (T2d) Forecast Using Machine Learning].
4. Jamia Hamdard Reports Findings in Machine Learning (The Diabacare Cloud: Predicting Diabetes Using Machine Learning).
5. Gokaraju Rangaraju Institute of Engineering and Technology Researchers Publish New Data on Diabetic Retinopathy (Performance Comparison of CNN and DNN Algorithms for Automation of Diabetic Retinopathy Disease).
6. University of Halabja Researcher Updates Current Study Findings on Type 2 Diabetes (Diabetes type 2 classification using machine learning algorithms with up-sampling technique).
7. Data on Machine Learning Detailed by Researchers at University of Campania Luigi Vanvitelli (Evaluating machine and deep learning techniques in predicting blood sugar levels within the E-health domain).
8. Studies from Gdansk University of Technology Update Current Data on Genomics and Genetics (Exploring the Landscape of Automatic Cerebral Microbleed Detection: a Comprehensive Review of Algorithms, Current Trends, and Future Challenges).
9. Study Results from Koneru Lakshmaiah Education Foundation Update Understanding of Diabetic Retinopathy (Diagnosis and Multiclass Classification of Diabetic Retinopathy Using Enhanced Multi Thresholding Optimization Algorithms and Improved Naive...).
10. New Findings on Mathematics Described by Investigators at Chiang Mai University (Modified Iterative Schemes With Two Inertia and Linesearch Rule for Split Variational Inclusion and Applications To Image Deblurring and Diabetes Prediction).
11. Research on Artificial Intelligence Discussed by a Researcher at University of Padova (Validation of an Automated Artificial Intelligence Algorithm for the Quantification of Major OCT Parameters in Diabetic Macular Edema).
12. Findings from Department of Electrical and Communication Engineering Provides New Data on Machine Learning (Non-invasive Antenna Sensor Based Continuous Glucose Monitoring Using Pancreas Dielectric Radiation Signal Energy Levels and Machine...).
13. New Diabetic Retinopathy Study Results Reported from National University of Computer and Emerging Sciences (A Novel Vessel Extraction Technique for a Three-way Classification of Diabetic Retinopathy Using Cascaded Classifier).
14. Findings from Kongu Engineering College Has Provided New Data on Diabetic Retinopathy [A Novel Adaptive Neural Network-based Laplacian of Gaussian (Anlog) Classification Algorithm for Detecting Diabetic Retinopathy With Colour Retinal Fundus...].
15. Studies in the Area of Cardiovascular Diseases and Conditions Reported from Tianjin University of Science and Technology (Improvement of Auxiliary Diagnosis of Diabetic Cardiovascular Disease Based on Data Oversampling and Deep Learning).
16. Researchers from University of Tunku Abdul Rahman Describe Findings in Diabetes Mellitus Management (Reinforcement Learning Models and Algorithms for Diabetes Management).
17. Research on Diabetic Retinopathy Published by a Researcher at Khulna University of Engineering & Technology [Implementation of Image Enhancement and Edge Detection Algorithm on Diabetic Retinopathy (DR) Image Using FPGA].
18. Research in the Area of Information Technology Reported from Manchester Metropolitan University (A Neighborhood-Similarity-Based Imputation Algorithm for Healthcare Data Sets: A Comparative Study).
19. Findings from King Saud University Provide New Insights into Diabetic Retinopathy (Esoa-hgru: Egret Swarm Optimization Algorithm-based Hybrid Gated Recurrent Unit for Classification of Diabetic Retinopathy).
20. Study Findings on Diabetes Mellitus Described by Researchers at University of Electronic Science and Technology of China (A robust predictive diagnosis model for diabetes mellitus using Shapley-incorporated machine learning algorithms).
21. Researchers Submit Patent Application, "Methods And Compositions For Predicting And/Or Monitoring Diabetes And Treatments Therefor", for Approval (USPTO 20230313302).
22. Studies Conducted at Saveetha School of Engineering on Proinsulin Recently Reported (Blockchain-based Hybrid Method for Diabetic Management On Daily Basis Through Insulin Dosage Prediction).
23. New Data from Sathyabama Institute of Science and Technology Illuminate Findings in Type 2 Diabetes (Type 2 Diabetes Mellitus Classification Using Predictive Supervised Learning Model).
24. New Type 1 Diabetes Data Have Been Reported by Researchers at Harvard University (Safe and Personalized Meal Bolus Calculator for Type-1 Diabetes Using Bayesian Optimization).
25. New Machine Learning Data Have Been Reported by Researchers at Princess Nourah bint Abdulrahman University (Classification of Diabetes Using Feature Selection and Hybrid Al-Biruni Earth Radius and Dipper Throated Optimization).
26. New Machine Learning Study Findings Reported from Ha Noi Medical University (The Utilization of Machine Learning Algorithms for Assisting Physicians in the Diagnosis of Diabetes).
27. Machine-learning method used for self-driving cars could improve lives of type-1 diabetes patients.
28. New Findings from Department of Electrical and Communication Engineering in Information Technology Provides New Insights (Polycystic Ovary Cyst Segmentation Using Adaptive K-means With Reptile Search Algorithm).
29. Investigators from University of Michigan School of Medicine Release New Data on Obesity and Diabetes (An Efficient Online Peak Detection Algorithm for Synchronized Intestinal Electrical Stimulation and Its Application for Treating Diabetes).
30. Findings from China Pharmaceutical University in the Area of Diabetes Research Described (Development of a Metabolite-based Deep Learning Algorithm for Clinical Precise Diagnosis of the Progression of Diabetic Kidney Disease).
31. Investigators from Menoufia University Report New Data on Data Handling (Diabetes Classification Application With Efficient Missing and Outliers Data Handling Algorithms).
32. Studies from Universidad de Malaga Provide New Data on Type 1 Diabetes (Constrained IoT-Based Machine Learning for Accurate Glycemia Forecasting in Type 1 Diabetes Patients).
33. School of Information Technology and Engineering Researcher Publishes New Studies and Findings in the Area of Blockchain Technology (Diabetic Retinopathy Detection: A Blockchain and African Vulture Optimization Algorithm-Based Deep Learning ...).
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