ATCC and the Broad Institute report the development of engineered isogenic cancer models designed to replicate resistance to targeted therapies, beginning with osimertinib, the latest-generation ...

BrainWhisperer is Tether’s Brain-to-text project. Tether is earmarking resources to build technologies that push the borders of intracranial electrocortical decoding. The latest result is a variable ...

Despite the well-established facilitatory effects of multisensory integration on behavioural measures, standard neuroimaging approaches have yet to reliably and precisely identify the corresponding ...

Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...

Abstract: In this brief, the encoding-decoding-based state estimation problem is investigated for a class of state-saturated systems under buffer-aided mechanism where the wireless communication is ...

Tesla plans to end production of its Model S and Model X vehicles in the spring. The company will convert the factory space to build its Optimus robot. CEO Elon Musk stated the move is part of a shift ...

Kendra Pierre-Louis: For Scientific American’s Science Quickly, I’m Kendra Pierre-Louis, in for Rachel Feltman. With some estimates placing the number of Hawaiian monk seals left in the wild at just 1 ...

ABSTRACT: This study conducts a qualitative content analysis of the French magazine “Jeune Afrique”’s coverage of Ibrahim Traoré, the transitional president of Burkina Faso. Using framing theory, the ...

After poring over recordings from sperm whales in the Caribbean, UC Berkeley linguist Gasper Begus had an unlikely breakthrough. According to a new study from Begus and his colleagues with Project ...

Abstract: This paper is concerned with the resilient distributed state estimation issue for smart grids under probabilistic encoding-decoding scheme and randomly occurring deception attacks. Due to ...

Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...