Controlling ribosomal RNA could help researchers target diseases driven by too little or too much protein production.
These snakes can go for months without eating, grow and shrink the size of their hearts and jump start their metabolism on a ...
Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...
Her case was, of course, dismissed. By Mark Walker In February, a sheriff’s deputy was working on traffic enforcement in Lake Worth Beach, Fla., when he stopped a 36-year-old woman named Kathleen ...
Dynamics of circulating monomeric C-reactive protein (mCRP) to predict outcomes with first-line alternating oxaliplatin-based chemotherapy and nivolumab in metastatic microsatellite-stable (MSS) ...
An error has occurred. Please try again. With a The Portland Press Herald subscription, you can gift 5 articles each month. It looks like you do not have any active ...
Two sources familiar with the U.S. military's use of artificial intelligence confirm that the U.S. used Anthropic's Claude AI model over weekend for the attack on Iran — and is still using it. The ...
A majority of American teenagers believe that their peers are using artificial intelligence to cheat in school, according to new research, and more than 1 in 10 teens use AI for emotional support or ...
The percentage of teachers who are using artificial intelligence-driven tools in their classrooms nearly doubled between 2023 and 2025, according to data from the EdWeek Research Center. In 2023, a ...
Cells in tissues interact by direct physical contact or over short and long distances via secreted mediators. Cell-cell communication inference has now become routine in downstream scRNAseq analysis ...
Abstract: Graph Neural Networks (GNNs) have emerged as powerful tools for modeling complex relational data, yet most existing architectures assume homophily-where connected nodes share similar ...
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