An international consortium of thousands of scientists is creating the Human Cell Atlas, a three-dimensional map of all the cells in the body. The goal is to understand all the cells that make up human tissues, organs and systems, which will enable multiple medical applications. This collection of cell maps is openly available for navigation at single-cell resolution, identified through omics analyses that reveal the tridimensional distribution of each cell.

The development of new machine learning tools like Alphafold and Rfdiffusion has allowed scientists to predict the structure of proteins and design them for drug discovery purposes, among other uses. Now, scientists at the Arc Institute have created Evo, an AI model that generates DNA sequences and estimates their interaction with other molecules at single-nucleotide resolution, scalable to an entire genome.

Hypertrophic cardiomyopathy (HCM) is the most common genetic cardiovascular disorder with around 85% of people with HCM remaining undiagnosed. There are no treatments approved for nonobstructive HCM (nHCM) to date.