Enterprise machine learning succeeds when a specific business decision, reliable data, production integration, and ongoing ...

AI decodes the initiator, a genetic switch present in roughly 60% of focused human gene promoters, giving researchers the first-ever quantitative tool to predict whether specific DNA mutations at ...

Prefill and Decode Fighting Over the Same GPUs Standard LLM inference collocates two fundamentally different workloads on the same GPU resources. Prefill is compute-bound—it processes the entire input ...

Introduction Lupus nephritis (LN) exhibits substantial clinical and pathological heterogeneity. We aimed to define proteomics-based molecular subtypes of LN and identify candidate biomarkers for ...

Could AI hold the key to answering questions that have stumped doctors and scientists for decades? A recent study at Cold ...

JWST observations reveal that XLSSC 122 was already unusually massive and centrally concentrated more than 10 billion years ...

Pancreatic cystic lesions are being found more frequently as cross-sectional imaging becomes more common. Their clinical ...

A cancerous tumor is not a single enemy. It is made up of many different cell populations that can behave in very different ways. Among them, even at the time of diagnosis, there may already be cells ...

A 91.0% accuracy rate was achieved on the breast cancer dataset using the SU2 feature map, a result previously unattainable with classical k-means clustering methods. Traditional algorithms often ...

Disseminated intravascular coagulation (DIC) is a critical condition encountered in the intensive care unit (ICU), characterized by multiple etiologies and variable outcomes. Distinguishing between ...

Introduction: Cardiogenic shock (CS) is a heterogeneous clinical syndrome, with varied clinical outcomes driven by hemodynamic states, and initial presentation. However, unsupervised machine learning ...