Biologists can't often conduct work on living human cells (since people tend to need their living cells for living), but the new Allen Integrated Cell from the Allen Institute uses predictive AI to accurately peer inside cells as they behave while alive. The program gives biologists the ability to effectively look at a complete, functioning cell, whereas in the past they would have to make deductions based on one part of a cell at a time.
To create the Allen Integrated Cell, scientists at the Allen Institute injected specific structures within cells with fluorescent material. The scientists then trained a neural network to recognize the patterns in how each of these structures behaved, and the AI was able to create a holistic model based on everything that it had learned.
Predictive 3D Cell Models
The 'Allen Integrated Cell' Uses AI to Peer Inside Living Human Cells
Trend Themes
1. Predictive AI - Using predictive AI to accurately peer inside living human cells.
2. Complete Cell Analysis - Enabling biologists to effectively analyze a complete, functioning cell.
3. Neural Network Training - Training a neural network to recognize patterns in cell structures' behavior.
Industry Implications
1. Biotechnology - Innovations in predictive 3D cell models offer disruptive opportunities for the biotechnology industry.
2. Medical Research - Advanced cell analysis techniques provide disruptive potential for medical research and understanding of human cells.
3. Artificial Intelligence - The integration of AI and cell analysis presents disruptive innovation opportunities in the field of artificial intelligence.