AI can help detect cancer and India’s biggest cancer treatment hospital is utilizing it.
Bio imaging
- It is an optical form of biosensing used to create non-invasive, visual representations of biological processes in cells, tissues, and anatomy for more accurate diagnosis and treatment of diseases.
Biosensing is a detection of target molecules based on the principles used by a living system such as an immune system.
- Aim – Bioimaging aims to interfere as little as possible with life processes.
- Uses – Moreover, it is often used to gain information on the 3-D structure of the observed specimen from the outside, i.e. without physical interference.
- Bioimaging also includes methods visualizing biological material that has been fixed for observation.
The Bank
- Background – By established a ‘Bio-Imaging Bank’ for cancer, hospitals are utilizing deep learning to craft a cancer-specific tailored algorithm that aids in early-stage cancer detection.
- Goal – To create a robust repository encompassing radiology and pathology images, intricately linked with clinical information, outcome data, treatment specifics, and additional metadata.
- Design – This comprehensive resource is strategically designed for the training, validation, and rigorous testing of AI algorithms.
- Fund – The project is funded by the Department of Biotechnology, in collaboration with IIT-Bombay, RGCIRC-New Delhi, AIIMS-New Delhi, and PGIMER-Chandigarh.
- Method – Segmenting and annotating images, outlining tumours, identifying different features, and annotating them as malignant, inflammatory, or edematous.
- Biopsy results, histopathology, immunohistochemistry reports, and genomic sequences are correlated with images and clinical data to develop diverse algorithms.
Tata Memorial Hospital (TMH) has already added the data of 60,000 patients into the biobank over the previous year, started using AI to reduce radiation exposure for paediatric patients undergoing CT scans.