Results 211 to 220 of about 1,336,811 (364)

Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years

open access: yesAdvanced Materials, EarlyView.
To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai   +8 more
wiley   +1 more source

Ticagrelor use in ruptured aneurysms: A retrospective cohort study. [PDF]

open access: yesNeuroradiol J
Bankole NDA   +8 more
europepmc   +1 more source

Effects of alcohol-related disease on hip fracture and mortality: a retrospective cohort study of hospitalized Medicare beneficiaries

open access: bronze, 2001
Žhong Yuan   +5 more
openalex   +1 more source

XBP1s Mediates Cross‐resistance to Combination Treatment of CDK4/6 Inhibitors plus Endocrine Therapy in Breast Cancer

open access: yesAdvanced Science, EarlyView.
Elevated spliced form of X‐box–binding protein 1 (XBP1) correlates with unfavorable responses to endocrine therapy plus CDK4/6 inhibitors in HR+/HER2− advanced breast cancer. XBP1s facilitates cell proliferation and G1/S transition by transcriptionally activating SND1, thereby activating the E2F1 pathway.
Yuting Sang   +11 more
wiley   +1 more source

Colchicine and cardiovascular outcomes in MINOCA: A retrospective cohort study. [PDF]

open access: yesAm Heart J Plus
Oro P   +5 more
europepmc   +1 more source

Life Factors and Melanoma: From the Macroscopic State to the Molecular Mechanism

open access: yesAdvanced Science, EarlyView.
Melanoma, an aggressive skin cancer, arises from dynamic interactions between genetic, environmental, and lifestyle factors. This review explores how age, gender, obesity, diet, exercise, smoking, alcohol, UV exposure, circadian rhythms, and medications influence melanoma risk and progression.
Hanbin Wang   +4 more
wiley   +1 more source

Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials

open access: yesAdvanced Science, EarlyView.
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang   +32 more
wiley   +1 more source

Home - About - Disclaimer - Privacy