Artificial intelligence is playing an increasingly important role in drug discovery, significantly speeding up the process of finding new treatments for diseases.
In 2024, companies like DeepMind (Google’s AI subsidiary) and Insilico Medicine are using AI models to predict the structure of proteins, identify potential drug candidates, and simulate how new drugs interact with the human body.
Traditionally, drug discovery can take years of research and testing, but AI is reducing this timeline by analyzing vast datasets of medical information and identifying promising compounds much faster.
In particular, AI’s ability to model protein folding—one of the most complex problems in biology—is helping researchers understand diseases at a molecular level, paving the way for new treatments for conditions like Alzheimer’s, cancer, and autoimmune diseases.
While AI in drug discovery is still in its early stages, its potential to revolutionize healthcare by making the process faster, cheaper, and more precise is becoming increasingly evident.
