The Daily Pulse

Science & Environment

New AI models and digital twins create virtual cells to speed up medicine creation

Reported by Varun Krishnan (Senior Writer) · Google News - NZ Science ·

Verified — Confirmed by a second source: Google News - Australia Science

Confirmed by a second source: Google News - Australia Science

Important
New AI models and digital twins create virtual cells to speed up medicine creationRepresentative image · Pexels

Scientists have developed virtual cells using four-dimensional artificial intelligence models and digital twins to help speed up the process of discovering new medicines. These computer-based models mimic real biological cells in motion over time, allowing researchers to test how potential drugs might work without needing to perform every single experiment in a physical laboratory first. Drug discovery normally takes many years and costs a large amount of money, but this new technology aims to cut down those delays by predicting cellular reactions much faster. By using digital copies of cells, teams can run thousands of simulations to see which chemical compounds show promise and which ones fail. This approach bridges the gap between raw data and real-world biology, giving scientists a clearer picture of how diseases affect the human body at a microscopic level. While the research is still developing, experts hope that these virtual models will soon become a standard tool in pharmaceutical laboratories across the world to bring safe and effective treatments to patients much sooner.

ExplainerWhy this matters

What Happened

Researchers have built computer-based virtual cells using 4D artificial intelligence and digital twins to simulate biological processes and speed up medicine creation.

Why It Matters

Traditional drug discovery is a slow and costly process that can take over a decade for a single medicine to reach the market. Virtual cells allow scientists to test thousands of chemical ideas digitally in minutes, which could drastically lower costs and bring life-saving treatments to patients much faster.

What Happens Next

Scientists will continue to refine these AI models to make them more accurate representations of human biology. The next step involves wider adoption and testing by pharmaceutical companies to see how well these digital predictions match real-world clinical trials.

Read more at Google News - NZ Science →