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 Alzheimerâs 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