• RATHOD DATTRAM

Neuromorphic AI integrates artificial intelligence with human brain systems for medical and technological advancement.It involves biotechnological studies and brain-computer interfaces (BCIs) for seamless human-computer communication.The research examines how brain connectivity aids in controlling and communicating with external devices.Key neural signal acquisition methods include EEG, fMRI, and ECoG.Signal interpretation is enhanced using machine learning and AI for real-time BCI applications.Challenges such as signal noise, individual variability, and ethical concerns are addressed.Neuromorphic computing mimics brain structures, aiding in cognitive modeling and disorder treatment.It supports early diagnosis, personalized medicine, and drug discovery through pattern recognition.Future directions include neuroplasticity simulation and closed-loop neuromodulation.Combining BCIs with neuromorphic computing offers promising cognitive and assistive technologies.

Neuromorphic AI in medical science promises significant advancements in areas like disease prediction, diagnosis, and treatment. By mimicking the human brain, it can analyze complex data, learn patterns, and make predictions with high accuracy, ultimately leading to personalized medicine and improved patientoutcomes. Neuromorphic computing, Brain-Computer Interface (BCI), Brain-machine interfaces, Personal developing brain-machine interfaces (BMIs),personalized medicine, Early diagnosis, Neuroplasticity simulation, Cognitive enhancement

"NEUROMORPHIC AI FORTHCOMING PREDICTION IN MEDICAL SCIENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.h366-h372, June-2025, Available :http://www.jetir.org/papers/JETIR2506747.pdf

"NEUROMORPHIC AI FORTHCOMING PREDICTION IN MEDICAL SCIENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. pph366-h372, June-2025, Available at : http://www.jetir.org/papers/JETIR2506747.pdf