The computer program forecasts individual strands of DNA building blocks (A, T, C, and G) needed to create desired patterns of gene expression in various types of cells.
Artificial Intelligence
A biotech startup that was spun off from UC San Diego uses deep learning to screen for potential antibiotic candidates as a TB outbreak spreads in Kansas.
A novel method predicts how a certain DNA sequence will organize itself in the cell nucleus in a matter of minutes as opposed to days.
Physicians were required to decide on cancer patients’ treatments, initially without the aid of technology and later with AI’s support.
The group tested over 20 million individual cells using both self-supervised learning techniques, then contrasted the outcomes with those of traditional learning techniques.
More potent AI models and the amassing of vast amounts of cell data in recent years are beginning to turn biology into a more predictive science.
The researchers tested five different LLMs and discovered that GPT-4 performed the best, finding common functions of curated gene sets from a popular genomics database with an accuracy rate of 73%.
Large language models a form of artificial intelligence that analyzes text are better than human experts at predicting the outcomes of proposed neuroscience investigations.
Their novel method makes it feasible to regulate gene expression in the body in previously unattainable ways, which might improve human health and medical research.
Ever since the double helix was discovered, researchers have worked to decipher the information contained inside DNA.
