Research presented today suggests an artificial intelligence tool called DeepGEM may provide an advancement in genomic testing that offers an accurate, cost-effective, and timely method for gene ...

Significant advancements in understanding the molecular and cellular mechanisms of tumor progression have been made, yet challenges remain. Traditional imaging techniques like MRI, CT, and mammography ...

With maps of the connections between neurons and artificial intelligence methods, researchers can now do what they never thought possible: predict the activity of individual neurons without making a ...

These Apple Intelligence training methods sound very familiar If Apple's methods here ring any bells, it's because they appear similar to the methods the company planned to implement, but abandoned, ...

The ability to measure the connectivity of each neuron in a neural circuit has established large maps of neuronal pathways—the connectome. But the extent to which those connectivity measurements alone ...

Kernel methods and support vector machines (SVMs) serve as cornerstones in modern machine learning, offering robust techniques for both classification and regression tasks. At their core, kernel ...

Concurrent GLP1R-agonist use with chemoimmunotherapy for early-stage triple-negative breast cancer. Comparison of methods with RNAscope using Pearson correlation and R².

Conjugate gradient methods form a class of iterative algorithms that are highly effective for solving large‐scale unconstrained optimisation problems. They achieve efficiency by constructing search ...

(Nanowerk News) Using a new artificial intelligence method, scientists can accurately predict the activity of genes within any human cell, essentially revealing the cell’s inner mechanisms. The system ...

The last several decades produced revolutionary advances in two areas: identifying neuronal processes responsible for intelligence and designing machine ...