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1. New Cancer Detection Findings from Saveetha School of Engineering Reported (Dlf: a Deep Learning Framework Using Convolution Neural Network Algorithm for Breast Cancer Detection and Classification).

2. Findings from School of Computing Provide New Insights into Breast Cancer (Cancer Regions In Mammogram Images Using Anfis Classifier Based Probability Histogram Segmentation Algorithm).

3. 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...).

4. Recent Findings from Department of CSE Has Provided New Information about Cardiovascular Diseases and Conditions (Applying Data Science Approach To Predicting Diseases and Recommending Drugs In Healthcare Using Machine Learning Models - a...).

5. Findings from Anna University Provides New Data on Obesity, Fitness and Wellness (Unfolding Vlsi Architecture for Mixed Noise Removal and Multiple Classification of Ecg Signals).

6. 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).

7. Research Conducted at Anna University Has Updated Our Knowledge about Obesity, Fitness and Wellness (An Efficient Deep Learning Algorithm for the Segmentation of Cardiac Ventricles).

8. 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).

9. Researchers from Jerusalem College of Engineering Report Findings in Genomics and Genetics [Hybrid Pixel Based Method for Multimodal Image Fusion Based On Integration of Pulse Coupled Neural Network (Pcnn) and Genetic Algorithm (Ga) Using ...].

10. Study Data from SRM Institute of Science and Technology Update Knowledge of Breast Cancer (Heat Transfer Capacity In Millimeter Size Breast Cancer Cells Analysis Through Thermal Imaging and Fdncnn for Primary Stage Identification).