Visual biology AI neural network recognize disease signatures in cellular pathway visualizations

Visual biology is an emerging paradigm that uses automated high-content, high-throughput visualization of cellular pathways, combined with AI analysis of large-scale experimental biology data. Images of cellular processes - such as protein-protein and protein-nucleic acid interactions, protein modifications, mRNA regulatory pathways, and enzymatic and cellular machinery activities - can now be generated from millions of diseased and healthy cells. This data enables the training of neural networks to recognize underlying disease mechanisms.

AI technology combines this first-of-its-kind, unbiased large-scale experimental data with existing scientific knowledge to derive hypotheses on disease signatures, novel targets, and drugs.

At the intersection of biology and AI, this webinar aims to demystify visual biology and showcase its practical applications in discovering novel targets and drugs.

Learn how Visual biology can revolutionize the target discovery process and give a competitive edge in developing novel therapies.