Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

Researchers have conducted a systematic review of advanced artificial intelligence algorithms and hardware acceleration techniques applied to material structure design, highlighting significant ...

The study, titled “Teach AI What It Doesn’t Know,” published in AI Magazine, presents a detailed research agenda by Sean Du of Nanyang Technological University, focused on building reliable machine ...

A new study by Center for Advanced Bioenergy and Bioproducts Innovation (CABBI) researchers investigates how data from a machine learning-enabled high-throughput phenotyping method can (1) aid in ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to ...

An AI model applied to pathology slides accurately predicts immunotherapy response in patients with metastatic non-small cell ...

Testing mobile apps with AI may sound complex at first, but it does not have to be. There are countless devices, operating systems, unpredictable user behavior, and edge cases to consider, and ...

Intercepting an adversary’s drone communications can be as valuable as shooting it down but only if the data can be exploited ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer ...

A robust and quantitative map links chromatin modification and gene expression of cells during zebrafish embryogenesis.