Artificial Intelligence

David Furman uses computational power, collaborations, and cosmic inspiration to tease apart the role of the immune system in aging.

The rise of fraudulent papers, exacerbated by AI-assisted technologies, threatens scientific integrity, but new detection tools offer hope.

In nature, microbes fend off their microbial competitors. In the digital world, can AI-detection tools help researchers knock out AI-based research misconduct?

The latest group of winning technologies has a little something for everyone—from scientists at the lab bench to those in the clinic and even the classroom.

New artificial intelligence tools help scientists fight back against a rising tide of research misconduct, but is it enough?

Big omics datasets can be overwhelming for researchers with limited programming skills, but texting with a new AI chatbot could help them wade through their results.

In this webinar, Linghua Wang and Jeremy Goecks will talk about technology that enables new approaches for a better understanding of tumors on a cellular, spatial, and environmental level.

Researchers used artificial intelligence in large genomics studies to fill in gaps in patient information and improve predictions, but new research uncovers false positives and misleading correlations.

Collaboration enables customers to securely and confidently use AI to accelerate drug research and discovery.

For the past decade, scientists have relied almost exclusively on CRISPR-Cas systems for genome editing. Now, a smaller but equally efficient nuclease is here to compete. 

About 50 years ago, biologists set out to solve the protein-folding problem. The road to the Nobel victory has been arduous but full of small wins along the way.

David Baker, Demis Hassabis, and John Jumper share this year’s Chemistry award for their research on protein design and structure prediction.

Learn how researchers take their drug discovery and development research to the next level with artificial intelligence.

This collaboration brings together Sino Biological’s advanced protein expression and wet-lab capabilities with BioGeometry’s generative AI protein design and optimization platform.

AI-driven technologies can help scientists accomplish efficient research workflows, from experimental design to data management and beyond.

Generative artificial intelligence allowed researchers to design new, synthesizable antibiotics against a dangerous and often drug-resistant human pathogen.

Automation, multiplexing, artificial intelligence, and more come together to build a better laboratory environment.  

A happenstance collaboration between biologists and roboticists led to the birth of a strange creation: living machines derived from frog stem cells.

An automated bioprinting and imaging platform allows researchers to examine heterogeneous responses to anticancer drugs within a tumor organoid population.