Biomedical Imaging Informatics (Digital Biomedical Images and Onco-Genomcis Research)
Digital Medical imaging is one of the fastest-moving areas of discovery, offering radiologists, pathologists, ophthalmologists, and practitioners in other image-rich disciplines the opportunity
to augment their workflows with algorithms that are getting better every day. Applying Artificial Intelligence (AI) and computer vision on these digital medical images have long been envisaged as a root to faster, more accurate diagnoses.
Being on the leading edge of innovation often means solving problems that no one in the industry has encountered before. "Machine learning algorithms will transform clinical imaging practice over the next decade" by reducing diagnostic errors, improving patient outcomes, enhancing efficiency and lowering costs.
Aligning with the KMIT Vision of producing globally competent engineers and striving to make India a world leader in software products and services, we propose to setup a Biomedical Informatics Research Lab.
This lab would serve the country’s need on Biomedical Informatics education and research and would position itself as a Center of AI for Biomedical Informatics, by producing highly-skilled Medical Informaticians and carrying out world-class research in Biomedical Imaging Informatics, Cancer Informatics, Clinical informatics, Healthcare Informatics, Neuro-Imaging Informatics and Bioinformatics (“Omics” study).
Starting with the carrying out of research and executing projects in Biomedical Imaging Informatics by adopting various computational/AI (Artificial Intelligence) techniques like Machine Learning, Deep Learning in Biomedical/Clinical/pathological images processing, these projects would facilitate and identify, disease classification, grading/growth, further enabling subsequent clinical treatment, procedures, cure/prevention of disease growth etc.
Primarily focused on Brain Tumor and Breast Cancer images.
Subsequently, we will extend the research and project execution fields into Pathomics (Data Science of Digital Pathology), Radiomics (Radiology and Neuro-Genomics) and other areas of Biomedical Informatics.
We have been involved in the development of Clinical Translational Research CAD (Computer Aided Disease Detection & Diagnostics System) for various cancers.
The said CAD system is an AI powered, end-to-end clinical diganostics workflow in line with CAP (College of American Pathologists) protocol, include all biomedical imaging (Pathology, Radiology) biomarkers identification for various cancers, initially for Breast Cancer. We have been awarded with INR 5 million for this project by BIRAC (Bio-technology Industry Research Assistance Council), Dept. of Biotechnology, Govt. of India
Note: Dr.Rohit Tapadia, Tapadia Diagnostics Center, Hyderabad is providing clinical protocol guidance and also validating the entire product development. We also collaborating with few named Cancer Hospitals across the region.
||Name of the Faculty
||Dr S Rajasekaran
||Dr R Devika Rubi
||Name of the Student
||Kanneganti Sai Rohith
||Pingali Raghavendra Suraj
||Kasavaraju Abhay Krishna
||Kala Samyak Jain
||Sri Laxmi Sai Sahithi Dendukuru
||A Sai Vijaya Bhargavi
||Kathoroju Harsha Vardhan
||Telukunta Vijay Abhinav
||Vivek Rupender Gopu
||Yerramallu M S S Krishna Deep