An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Researchers developed a blood test that spots ALS with 90% accuracy. The 46-gene panel could cut diagnostic delays that now ...

The AI’s learned behavior shows a clear preference for high-density, mixed-use development, increasing the spatial clustering ...

Many health symptoms can be caused by multiple illnesses – if AI can’t tell the difference between them, it won’t be able to ...

Shape Memory Alloys (SMAs) have emerged as critical components in the field of robotics, offering compact and ...

But tools using AI such as machine learning have been shown to help doctors select the embryos that have the best chance of ...

The inaugural competition surprisingly awarded two $100,000 grand prizes to address challenges in defining robust benchmarks for complex biology.

Scientists mapped brain activity across the day and found the same neurons create completely different networks depending on ...

We’ve all heard the horror stories. A job seeker spends hours tailoring his resume, finally hits “submit,” and within seconds ...

A novel computational tool has been used to identify a metabolic weakness in acute myeloid leukemia, offering a new drug ...