Most product teams start with correlation. They build a model that predicts who will click, buy, or return, and then they point promotions or notifications at those people. This looks clever on a ...

Abstract: Signal estimation from noisy data is a fundamental problem in signal processing and data analysis. Existing literature offers various estimators based on different model choices and ...

A large genome-wide analysis reports that common obesity traits share, and in some cases drive, risk for diabetic kidney disease, diabetic retinopathy, and diabetic neuropathy. The study maps shared ...

Root-cause analysis is core to problem-solving across many fields. From hospitals searching for patient safety issues to engineers diagnosing faults in complex machinery, finding the source of a ...

Understanding the intricate web of connections within the human brain remains one of the greatest challenges in science. This complex network of billions of neurons, communicating through brief ...

ABSTRACT: Immune imprinting denotes a phenomenon where previous exposure to a viral antigen, through infection or vaccination, imprints that antigen in immunological memory. When the immune system is ...

Hi~thanks for your helpful tool on fine-mapping with GWAS summary data. I recently performed fine-mapping analysis using SuSiE with GWAS summary statistics. Variants with MAF < 0.01, multi-allelic ...

Rapid progress in automation, robotics, and sensor technology pushes today’s industrial systems to demand quicker, smarter decision-making. At the heart of this transformation stands Causal AI, a new ...

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