Disruptive Developments in Biomedical Applications

1: Recent advances of Artificial Intelligence (AI) for Nanobiomedical applications: Trends, Challenges and future prospects
2: Medical Imaging modalities and different image processing techniques- State of the Art Review
3: Prognosis and diagnosis of disease using AI/ML techniques
4: AI Based Approach For Brain Tumor Detection And Classification
5: Prediction & Classification of Alzheimer's Disease using Machine Learning Models
6: Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN)
7: Case study on Oropharyngeal Cancer Prediction and Diagnosis and Management based upon MRI, CT scan imaging techniques.
8: Introduction to Smart Healthcare using IoMT
9: A Webcam-based Belt-System for Respiratory and Chest-expansion Measurements
10: A Novel Data Analysis Framework in Smart City Healthcare
11: Evolution of Automatic Epilepsy Detection and Classification Techniques: A Survey
12: Evaluation of Boosting Algorithms for P300 Detection in EEG Signals
13: Comprehensive Study of Brain Computer Interface(BCI) with emphasis on Signal Processing Strategies
14: Fetal Electrocardiogram Extraction using Adaptive Filters Approach
15: Detection of Heart Functioning Abnormalities (Arrhythmia) Using ECG Signals : A Systematic Review
16: Heart Rate Variability Analysis in Healthy Male Subjects with Comprehensive Age Groups
17: Electronic Health Records: Need, Challenges and Future scope
18: Role of EHR in cancer detection: need, challenges and future scope of EHR
19: Implantable Pacemaker Low Power Telemetry Unit
20: Recent Advances in Drug Delivery Systems: MEMS Perspective
21: Estimating the Blood-vessel Response to Vaso-active Agents by Microscope Video Image Processing
22: Organ Donation and Transplantation Challenges, Opportunities and Role of Blockchain