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NIMS, IISc Launch Joint AI Research for Early Detection of Cancer, Kidney and Heart Diseases

Nims-IISc collaboration would help develop innovative AI models tailored to the needs of Indian patients

Hyderabad: The Nizam’s Institute of Medical Sciences (Nims), Hyderabad and the Indian Institute of Science (IISc), Bengaluru, have initiated a joint research programme focused on developing Artificial Intelligence (AI)-based healthcare solutions. As part of the collaboration, a team of IISc scientists visited Nims on Thursday and held detailed discussions with faculty members and medical experts from both institutions.

The meeting was chaired by NIMS Dean Dr P. Chandrasekhar, who highlighted the growing role of AI in healthcare. He said that AI-powered tools can play a crucial role in the early detection of breast cancer, oral cancer, kidney diseases, heart ailments and obesity-related disorders, while also enabling faster and more accurate diagnosis and effective treatment. He added that the Nims-IISc collaboration would help develop innovative AI models tailored to the needs of Indian patients.

Under the joint research initiative, advanced AI models will be developed for the diagnosis, risk assessment, disease progression analysis and personalised treatment planning of breast cancer, oral cancer, kidney diseases, cardiovascular disorders and obesity-related conditions. These models are expected to support clinicians in making informed medical decisions while improving access to quality healthcare for the public.

While Nims was represented by Dr Chandrasekhar, Dr Liza, Dr Bhushan Raju, Dr Anu Kapoor, Dr Subbalakshmi, Dr Sujata Patnaik, Dr Ramakrishna, Dr Annie, Dr Raviteja and Dr Payal, the IISc team included Dr Sriram, Dr Hema and Dr Anagha, who discussed the roadmap and implementation strategy for the collaborative research project.

The first phase of the project is expected to be completed within six months. During this period, the teams will undertake clinical data analysis, AI algorithm design and the development of preliminary models.

( Source : Deccan Chronicle )
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