Disruptive Developments in Biomedical Applications

Swati V. Shinde, Oscar Castillo

• 1: Recent advances of Artificial Intelligence (AI) for Nanobiomedical applications: Trends, Challenges and future prospects2: Medical Imaging modalities and different image processing techniques- State of the Art Review3: Prognosis and diagnosis of disease using AI/ML techniques4: AI Based Approach For Brain Tumor Detection And Classification5: Prediction & Classification of Alzheimer’s Disease using Machine Learning Models6: 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 IoMT9: A Webcam-based Belt-System for Respiratory and Chest-expansion Measurements10: A Novel Data Analysis Framework in Smart City Healthcare11: Evolution of Automatic Epilepsy Detection and Classification Techniques: A Survey12: Evaluation of Boosting Algorithms for P300 Detection in EEG Signals13: Comprehensive Study of Brain Computer Interface(BCI) with emphasis on Signal Processing Strategies14: Fetal Electrocardiogram Extraction using Adaptive Filters Approach15: Detection of Heart Functioning Abnormalities (Arrhythmia) Using ECG Signals : A Systematic Review16: Heart Rate Variability Analysis in Healthy Male Subjects with Comprehensive Age Groups17: Electronic Health Records: Need, Challenges and Future scope18: Role of EHR in cancer detection: need, challenges and future scope of EHR19: Implantable Pacemaker Low Power Telemetry Unit20: Recent Advances in Drug Delivery Systems: MEMS Perspective21: Estimating the Blood-vessel Response to Vaso-active Agents by Microscope Video Image Processing22: Organ Donation and Transplantation Challenges, Opportunities and Role of Blockchain