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A universal flu vaccine has proved challenging — could it finally be possible?
The quest to hatch a bird-flu vaccine
Could tracking animals’ health help to avert the next pandemic?
Flu’s link to cardiovascular disease shows why vaccination is essential
Virology’s most wanted: the influenza virus
Seven feel-good science stories to restore your faith in 2025
Beauty is in the eye of the beholder
Stopping the next flu pandemic
Is bird flu the next pandemic? The science so far
Author Correction: Neuroimmune cardiovascular interfaces control atherosclerosis
Integrating polygenic signals and single-cell multiomics identifies cell-type-specific regulomes critical for immune- and aging-related diseases
I’ve earned my PhD — what now?
Trump administration moves to break up leading U.S. climate and weather center
White House budget director calls the National Center for Atmospheric Research a source of “climate alarmism”
Misconduct sleuth wins $2.63 million from major cancer institute in $15 million settlement
Data detectives see validation in deal with U.S. government that penalizes Dana-Farber Cancer Institute for misrepresenting data in NIH grant applications
New NASA administrator takes over after a year of scientific loss—and survival
Following Senate confirmation, billionaire Jared Isaacman will lead a diminished workforce
Ancient tectonic plates are oozing along Earth’s core
Thousands of earthquakes yield best picture yet of core-mantle boundary, shedding light on deep flows of viscous rock
Why have so many different eyes evolved? Gamelike simulation could provide answers
“Powerful” method for studying evolution could help researchers understand how species developed specialized eyes
Gender in old care: comparing sons' and daughters' role in parental functional and psychological well-being
China’s rapidly aging population and evolving socio-economic landscape, particularly shifting gender roles, are reshaping traditional caregiving dynamics. However, limited research has examined the associations between caregiver gender and the functional and psychological health of older parents, particularly in the context of gender matching between caregivers and care recipients. This study addresses this gap by utilizing four waves of CLHLS data, employing a Logit model for estimation, and...
Neuroanatomical-based machine learning prediction of Alzheimer's Disease across sex and age
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss. In 2024 it affected approximately 1 in 9 people aged 65 and older in the U.S., 6.9 million individuals. Early detection and accurate AD diagnosis are crucial for improving patient outcomes. Magnetic resonance imaging (MRI) has emerged as a valuable tool for examining brain structure and identifying potential AD biomarkers. This study performs predictive analyses by employing...
A review of deep learning techniques in Alzheimer's disease with emphasis on data tools and transfer learning
Alzheimer's disease (AD) is a significant neurological condition that is marked by the gradual decline of memory and cognitive function, with a higher incidence observed in older individuals. The mental deterioration associated with this condition is irreversible, resulting in substantial consequences for both affected individuals and society as a whole. Despite relentless research efforts, a definitive cure for AD remains elusive. However, interventions targeting the early stages of the disease...