Results 251 to 260 of about 2,921,645 (302)

Harnessing Large‐Scale Multi‐Omics Data for Risk Prediction and Deep Phenotyping of Valvular Heart Diseases in the General Population

open access: yesAdvanced Science, EarlyView.
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang   +10 more
wiley   +1 more source

Explainable Machine Learning for Risk Prediction of Reduced Quality of Life in Hypertension. [PDF]

open access: yesVasc Health Risk Manag
Andala S   +7 more
europepmc   +1 more source

High Tree Species Diversity Promotes Thermal Enhancement Response of Microbial Carbon Use Efficiency

open access: yesAdvanced Science, EarlyView.
ABSTRACT Predicting soil carbon dynamics under warming is constrained by limited understanding of microbial thermal adaptation, particularly whether microbial carbon use efficiency (CUE) can adapt to warming and how plant diversity modulates this response. Using soils from a natural tree species diversity gradient in a subtropical forest, we combined a
Pengpeng Duan   +11 more
wiley   +1 more source

Modelling forest carbon stocks on the Canary Islands. [PDF]

open access: yesCarbon Balance Manag
Otto R   +8 more
europepmc   +1 more source

Calcineurin‐Dependent Stress Adaptation Enables Caspofungin Heteroresistance Leading to Stable Resistance in Candida Glabrata

open access: yesAdvanced Science, EarlyView.
Caspofungin heteroresistance is prevalent in clinical Candida glabrata isolates and depends on calcineurin‐mediated stress adaptation. This transient phenotype serves as a reservoir for resistance evolution, enabling the emergence of stable resistant descendants under prolonged drug pressure.
Yanyu Su   +7 more
wiley   +1 more source

Exploring data-driven algorithms to identify Lyme disease cases in electronic health records. [PDF]

open access: yesPLoS One
Linz AM   +7 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy