•Conducted in-depth analysis of data and model-based approaches for integration multimodal medical data to determine the optimal techniques for data fusion.•Developed a robust breast cancer histopathological image prediction model by using a convolutional Generative and Adversarial Network (DCGAN) to address the class imbalance problems.•Designed an enhanced scheme by coupling the Minimum Redundancy Maximum Relevancy (mRMR) algorithm with the Similarity Preserving Selection methods… Show more •Conducted in-depth analysis of data and model-based approaches for integration multimodal medical data to determine the optimal techniques for data fusion.•Developed a robust breast cancer histopathological image prediction model by using a convolutional Generative and Adversarial Network (DCGAN) to address the class imbalance problems.•Designed an enhanced scheme by coupling the Minimum Redundancy Maximum Relevancy (mRMR) algorithm with the Similarity Preserving Selection methods (such as Laplace Score) to discover biomarkers genes and elucidate their biomolecular pathways and functions.•Developed long-short-term-model (LSTM) architecture variants for epileptic seizure detection in raw EEG signals, improving performance with the bi-directional LSTM.•Provided MATLAB training to students as T. A in the Computational Chemistry class at the department of Chemical, Biological and Bioengineering. Show less