4 papers indexed
Heart failure (HF) affects millions globally, posing a major healthcare challenge, and accurate diagnosis is difficult due to non-specific symptoms, often leading to delays in treatment. Artificial Intelligence (AI) offers transformative tools to enhance early diagnosis, risk str…
Physics-Informed Neural Networks (PINNs) offer a promising bridge between deep learning and biophysical modeling by embedding differential equations directly into the learning process. This paper explores an automated framework using Bayesian Optimization (BO) and PINNs in order…
Heart failure (HF) affects millions globally, posing a major healthcare challenge, and accurate diagnosis is difficult due to non-specific symptoms, often leading to delays in treatment. Artificial Intelligence (AI) offers transformative tools to enhance early diagnosis, risk str…
Physics-Informed Neural Networks (PINNs) offer a promising bridge between deep learning and biophysical modeling by embedding differential equations directly into the learning process. This paper explores an automated framework using Bayesian Optimization (BO) and PINNs in order…