Indian Researchers Create Asia’s First Digital Brain Biopsy Dataset for AI Models

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Can artificial intelligence (AI) and machine learning (ML) predict brain tumours by simply analysing digital slides? An initiative in Hyderabad suggests that it could be possible.

Researchers and pathologists from the International Institute of Information Technology (IIIT) Hyderabad and Nizam’s Institute of Medical Sciences (NIMS) have lately digitised brain tumour biopsy samples. They have created dataset of digital brain tumour biopsies. It is a critical resource for training AI models to predict cancer risks.

The work was published in Nature journal last year in December. The researchers explained that the machine learning models are designed to identify cancer subtypes, explore regional and ethnic disease variations as well as improve diagnostic accuracy.

The study is titled India Pathology Dataset (IPD) Project and includes 547 high-resolution digital slides from 367 patients. It is one of the largest such datasets in Asia and also a key resource for advancing cancer prediction and diagnosis.

Impact of the effort extends beyond brain cancer as researchers are also developing a digital dataset for lupus. Lupus is a kidney disease that is particularly prevalent among women in Telangana. Healthcare providers could soon have a powerful tool to guide timely and accurate diagnoses.

Projects like this reveals potential of AI and ML to revolutionise medical diagnostics. The projects can also bridge gaps in healthcare delivery and improve patient outcomes. Well, as of now, the Hyderabad researchers are leading the way in showcasing how digitised biopsies and AI can transform our approach to complex diseases.

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