Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.

Neuronal specification, expansion and differentiation are tightly regulated by the concerted actions of transcription and chromatin modifying factors that are recruited to regulatory elements in the ...

Read more about AI can’t deliver climate gains without strong governance and capacity building on Devdiscourse ...

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

RT-MALS can provide instantaneous measurements of adenovirus particle size and titer during downstream and fill–finish ...

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...

As we have moved to interconnected systems, digital artifacts wind up in the cloud, on the Internet, and in AI models,” said ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Abstract: Infrared small target detection (IRSTD) is challenging due to low target-background contrast and small target size, leading to missed detections and false alarms (Fas). To address these ...