Generative AI applications in Health and Life Sciences and available Open Source AI tools.

Generative AI refers to a type of artificial intelligence that is capable of creating new content or data autonomously, often by mimicking or learning from existing data.

Generative models are trained on large datasets and learn to understand patterns, structures, and relationships within the data. Once trained, these models can generate new samples or outputs that closely resemble the training data but are not exact copies.

Generative AI works by using neural networks to identify patterns from large sets of data. Neural networks are a type of machine learning algorithm that are inspired by the human brain. They are made up of many interconnected nodes, each of which represents a different feature of the data.

When a neural network is trained on a dataset, it learns to identify the relationships between the features and to use this knowledge to generate new data that is similar to the training data.

These are the areas with in Health and Life science where Generative AI will have significant impact

• Drug discovery and design.
• Protein folding and structure prediction.
• Genomics Personalized medicine.