The iOncology-AI Project

The iOncology-AI Project

News: At the forefront of medical innovation, researchers at the All India Institute of Medical Sciences (AIIMS) in Delhi have developed an artificial intelligence (AI)-powered model named iOncology-AI Project, integrated with a supercomputer, to aid oncologists in making informed decisions regarding cancer treatment.

What are the Key Highlights of the iOncology-AI Project?

About:
• The iOncology-AI project emerges from a collaborative effort between the AIIMS in Delhi and Pune’s Centre for Development of Advanced Computing (C-DAC), and the Ministry of Electronics & Information Technology. This partnership brings together expertise in medical research and computational science to revolutionize cancer care.
• It aims to leverage AI to enhance the precision and efficacy of cancer treatment. By analysing vast datasets encompassing genetic profiles, clinical histories, and treatment outcomes, the project seeks to unravel the complex interplay between genetics and cancer therapy.

Working Procedure:
• The platform, developed with C-DAC, stores and analyses various cancer-related data, including blood tests, lab reports, scans, and patient histories.
• Utilising advanced algorithms, the AI-enabled platform assists doctors in making treatment decisions based on comprehensive genomic data analysis, helping to tailor treatment plans to individual patients.
By studying the clinical data and genomic makeup of thousands of cancer patients, the platform can provide personalised treatment recommendations, improving therapeutic outcomes.
• Particularly beneficial in resource-constrained settings, the tool aids doctors in making targeted treatment decisions and optimising healthcare delivery.
While not replacing doctors, the platform serves as a valuable guide by automatically flagging abnormalities in scans and reports, enhancing clinical decision-making.

Focus on Breast and Ovarian Cancers:
• Given the prevalence of breast and ovarian cancers among women in India, the initial application of iOncology-AI is focused on early detection of these cancers.

Impacts:
• The iOncology-AI platform can improve cancer patient outcomes and quality of life through early detection and personalised treatment of breast and ovarian cancers.
• It also reduces the burden and cost of cancer care by enhancing healthcare professionals\' efficiency and productivity and optimising resource use. Additionally, it contributes to cancer research and innovation by providing valuable insights and data for further analysis and development.  

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