eLife

Deep learning reveals endogenous sterols as allosteric modulators of the GPCR–Gα interface

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 ...
Tech Xplore on MSN

'Periodic table' for AI methods aims to drive innovation

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...

Engineers decode dementia type using AI and EEG brainwave analysis

Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the ...
eLife

Learning-Associated Flexibility of Cortical Taste Coding Is Impaired in Shank3 Knockout Mice

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...
Thorax

Critical care research in low- and middle-income countries: a narrative review

Critical illness poses a significant global health challenge, disproportionately affecting low- and middle-income countries ...
Center for American Progress

Data on Child Care and Early Learning in the United States

The Center for American Progress’ data dashboard allows users to explore national- and state-level data trends on a range of child care and early learning topics. Read more and explore additional ...

I tested NotebookLM vs. Perplexity for deep research with 5 difficult prompts — here's the clear winner

Which is the better deep research tool, NotebookLM or Perplexity? I put it to the test to find out.