Vikram Kishor Abhang is an emerging researcher with a strong academic and technical interest in Artificial Intelligence and Data-Driven Systems. His research focus lies in applying machine learning and deep learning techniques to solve real-world problems, particularly in areas such as healthcare analytics, intelligent systems, and data modeling. He actively explores algorithm design, data preprocessing, and performance evaluation to improve prediction accuracy and system reliability. With a keen interest in interdisciplinary research, his work aims to bridge the gap between theoretical concepts and practical applications, contributing to innovative and impactful research outcomes.
Predicting Drug Response Using Deep Learning Techniques Vikram Kishor Abhang, Baisa L. Gunjal Applied Machine Learning in Healthcare Case Based Approach, 2025 Drug response prediction based on deep learning, which aggregates multi-omics data, drug molecules, and gene interactions, represents an advanced frontier between artificial intelligence (AI) and healthcare. The potential of changing personalized medicine and drug discovery is explored. It leverages the power of deep neural networks to handle complex multi-omics data, providing more accurate patient profiles at the individual level. It integrates drug molecular properties, gene interactions and genetics, transcriptomic patterns, proteomic expression, and metabolic profiles. This is a comprehensive approach to precisely predict the drug responses, minimizing the drug’s adverse effects and maximizing the treatment’s benefits. Although it demonstrates impressive predictive abilities, data quality, model interpretability, and ethical considerations are challenges. However, it is still in development and is widely used in cancer treatment, pharmacokinetics, and drug candidate identification, promising a more targeted treatment in the future.
RECENT SCHOLAR PUBLICATIONS
Deep Graph Ensemble Convolutional Neural Networks for Drug Response Prediction from Multi- Omics Cancer Cell Lines DBLG Vikram Kishor Abhang https://journalcrd.org 25 (4), 102-116 , 2025 2025
Deep Graph Ensemble Convolutional Neural Networks for Drug Response Prediction from Multi-Omics Cancer Cell Lines MVK Abhang, BL Gunjal COMPUTER 25 (4) , 2025 2025 Citations: 4
Ai-Driven Drug Response Prediction: Bridginggeno Mics and Personalized Cancer Treatment VK Abhang African Journal of Biomedical Research 27 (6S), 818-827 , 2024 2024
“Praharnanuveshan”- A System to Remotely Track Police Officers Deployed on Duty V Abhang The Indian Journal of Technical Education 47 (1), 255-261 , 2024 2024
Advancing Personal Safety for Enhanced Usability VK Abhang The Indian Journal of Technical Education 47 (1), 180-184 , 2024 2024
PERFORMANCE IMPROVEMENT OF AGRICULTURE FOOD SUPPLY CHAIN USING BLOCKCHAIN VK Abhang Innovative Journal for Opportunities and Development in Science & Technology … , 2021 2021
Performance improvement of parallel programming model based on parameterized pipelined Map Reduce approach DP Balasaheb, AV Kishor, TA Sudhir 2019 IEEE International Conference on Electrical, Computer and Communication … , 2019 2019 Citations: 4
Performance enhancement and analysis of privacy preservation using slicing approach over hadoop AV Kishor, SB Shrimantrao 2016 3rd International Conference on Computing for Sustainable Global … , 2016 2016 Citations: 3
Privacy Preservation For High Dimensional Data Using Slicing Method in Data Mining VK Abhang International Journal of Modern Trends in Engineering and Research (IJMTER … , 2015 2015
Comparative Study and Analysis of Various Anonymization Techniques for Privacy Preserving VK Abhang International Journal for Management Science and Technology (IJMST) 1 (9) , 2013 2013
MOST CITED SCHOLAR PUBLICATIONS
Deep Graph Ensemble Convolutional Neural Networks for Drug Response Prediction from Multi-Omics Cancer Cell Lines MVK Abhang, BL Gunjal COMPUTER 25 (4) , 2025 2025 Citations: 4
Performance improvement of parallel programming model based on parameterized pipelined Map Reduce approach DP Balasaheb, AV Kishor, TA Sudhir 2019 IEEE International Conference on Electrical, Computer and Communication … , 2019 2019 Citations: 4
Performance enhancement and analysis of privacy preservation using slicing approach over hadoop AV Kishor, SB Shrimantrao 2016 3rd International Conference on Computing for Sustainable Global … , 2016 2016 Citations: 3
Deep Graph Ensemble Convolutional Neural Networks for Drug Response Prediction from Multi- Omics Cancer Cell Lines DBLG Vikram Kishor Abhang https://journalcrd.org 25 (4), 102-116 , 2025 2025
Ai-Driven Drug Response Prediction: Bridginggeno Mics and Personalized Cancer Treatment VK Abhang African Journal of Biomedical Research 27 (6S), 818-827 , 2024 2024
“Praharnanuveshan”- A System to Remotely Track Police Officers Deployed on Duty V Abhang The Indian Journal of Technical Education 47 (1), 255-261 , 2024 2024
Advancing Personal Safety for Enhanced Usability VK Abhang The Indian Journal of Technical Education 47 (1), 180-184 , 2024 2024
PERFORMANCE IMPROVEMENT OF AGRICULTURE FOOD SUPPLY CHAIN USING BLOCKCHAIN VK Abhang Innovative Journal for Opportunities and Development in Science & Technology … , 2021 2021
Privacy Preservation For High Dimensional Data Using Slicing Method in Data Mining VK Abhang International Journal of Modern Trends in Engineering and Research (IJMTER … , 2015 2015
Comparative Study and Analysis of Various Anonymization Techniques for Privacy Preserving VK Abhang International Journal for Management Science and Technology (IJMST) 1 (9) , 2013 2013
