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The Chinese finance whizz whose DeepSeek AI model stunned the world
The top US health director who stood up for science — and was fired
‘Giant step forward’ for Huntington’s — the scientist behind the first gene therapy
The baby whose life was saved by the first personalized CRISPR therapy
This scientist is breeding billions of mosquitoes to fight disease in Brazil
Home-field advantage: how local research leads to new discoveries
<i>Nature</i>’s 10: Ten people who shaped science in 2025
Long-COVID research just got a big funding boost: will it find new treatments?
Five important financial moves for PhD students
How the Royal Institution made science a seasonal spectacle
Publisher Correction: CRISPR activation for <i>SCN2A</i>-related neurodevelopmental disorders
Cosmic neutrinos’ kink could help explain origins of the elusive particles
Energy spectrum of elusive particles shows an intriguing bump, giant IceCube experiment reports
Can adding light sensors to nerve cells switch off pain, epilepsy, and other disorders?
Optogenetics is poised to move from a research tool to new therapies—if scientists can show it’s safe
The strongest spiderweb on Earth is spun only by females
Bark spider silk is stronger than steel, but males make a weaker version
Warm, humid ‘atmospheric rivers’ threaten Antarctica
Growing more common as climate warms, these once-rare events could ultimately accelerate ice loss
CARLIS: covariate-assisted replicability analysis for genome-wide association studies via triplet hidden Markov models
Replicability analysis is a cornerstone for identifying genuine genetic associations in genome-wide association studies (GWAS), yet existing methods are constrained by their failure to account for linkage disequilibrium (LD) structure among single nucleotide polymorphisms (SNPs) or underuse of auxiliary information, limiting their reliability and statistical power. We develop CARLIS, a comprehensive covariate-assisted replicability analysis method to enhance both statistical rigor and biological...
Beyond brain scans: verbal memory testing as an efficient cognitive biomarker for preclinical Alzheimer's disease
Timely and accessible tools for detecting preclinical Alzheimer's disease (AD) are essential for early intervention, yet reliance on MRI biomarkers limits scalability. Using longitudinal data from 210 cognitively normal older adults in ADNI, we compared the predictive value of verbal episodic memory, hippocampal volume, and a visuospatial composite. Over a 7-year window, 106 participants progressed to mild cognitive impairment (MCI), while 104 remained stable. At baseline, Immediate Recall on...
Beyond brain scans: verbal memory testing as an efficient cognitive biomarker for preclinical Alzheimer's disease
Timely and accessible tools for detecting preclinical Alzheimer's disease (AD) are essential for early intervention, yet reliance on MRI biomarkers limits scalability. Using longitudinal data from 210 cognitively normal older adults in ADNI, we compared the predictive value of verbal episodic memory, hippocampal volume, and a visuospatial composite. Over a 7-year window, 106 participants progressed to mild cognitive impairment (MCI), while 104 remained stable. At baseline, Immediate Recall on...
Chinese healthcare professionals' perceptions of interventions in elder abuse: a qualitative study
CONCLUSIONS: Findings support the SCT triadic reciprocal determinism: personal factors influence and are influenced by behavioral and environmental elements. Consequently, a multilevel strategy aligned with SCT, such as enhancing personal capacity, strengthening institutional support, and optimizing systemic safeguards, is essential to empower hospital-based healthcare professionals to intervene in elder abuse.
Dietary fatty acids and epigenetic aging in US adults: results from the National Health and Nutrition Examination Survey
Fatty acids are involved in disease risk and aging processes. In the US National Health and Nutrition Examination Survey (1999-2002), we tested for associations of total, saturated (SFA), monounsaturated (MUFA), polyunsaturated (PUFA), and subtypes of dietary fatty acids with DNA methylation-based aging biomarkers, adjusting for age, BMI, total energy intake, and sociodemographic and behavioral factors (N = 2260). Higher SFA and MUFA were associated with greater GrimAge2, an aging biomarker of...