Dear Ashikur Rahman Nazil ,

AI is increasingly used to map the human body in 3D, simulate organ function, and even predict disease progression.

The pharmaceutical industry suffered a significant decline of innovation in the last few decades, whose simple reason is complex biology. Artificial intelligence (AI) promises to make the entire drug discovery and development process more efficient. Here I consider the potential benefits of using AI to deepen our mechanistic understanding of disease by leveraging data and knowledge for modeling and simulation of genome-scale biological networks. I outline recent developments that are moving the field forward and I identify several overarching challenges for advancing the state of the art towards the successful integration of AI with modeling and simulation in drug discovery.

https://www.frontiersin.org/journals/drug-discovery/articles/10.3389/fddsv.2022.1019706/full

Regards,

Shafagat

AI is rapidly transforming biomedical research by enabling the simulation of human anatomy, diagnostic modeling, and physiological prediction. Techniques such as CNNs, RegNet, and multimodal fusion are used to analyze brain imaging (MRI, PET), model neural degeneration, and even forecast disease progression—offering a computational mirror to the human body's internal states. However, challenges persist around explainability, data integration, and individual variability.

In my paper “Neurofusion”, we fuse MRI and PET data to model both structure and function in Alzheimer's progression, simulating how the brain evolves in early-stage disease. Similarly, in “Lightweight RegNet-Driven Framework”, we use deep learning to analyze brain scans and classify neurodegenerative conditions—supporting AI-driven diagnostic modeling of the human body.

Learn More Here:

Article Neurofusion Advancing Alzheimer's Diagnosis with Deep Learni...

Article Lightweight Reg Net-Driven Deep Learning Framework for Enhan...

Which diseases will you have in 20 years? This AI accurately predicts your risks

A modified large language model called Delphi-2M analyses a person’s medical records and lifestyle to provide risk estimates for more than 1,000 diseases...

"A new artificial intelligence (AI) tool can forecast a person’s risk of developing more than 1,000 diseases, in some cases providing a prediction decades in advance.

The model, called Delphi-2M, uses health records and lifestyle factors to estimate the likelihood that a person will develop diseases such as cancer, skin diseases and immune conditions up to 20 years ahead of time. Although Delphi-2M was trained only on one data set from the United Kingdom, its multi-disease modelling could one day help clinicians to identify high-risk people, allowing for the early roll-out of preventive measures. The model is described in a study published today in Nature..."

https://www.nature.com/articles/s41586-025-09529-3

https://www.nature.com/articles/d41586-025-02993-x