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Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

Cecilia Anza-Ramirez
J. Jaime Miranda
Yves Miel H. Zuniga
ResearchOpen Access07 May 2025
Nature Communications

Volume: 16, P: 1-36
Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

The authors here present a deep learning model that simultaneously detects earthquake signals and measures seismic-phase arrival times. The model performs particularly well for cases with high background noise and the challenging task of picking the S wave arrival.

S. Mostafa Mousavi
William L. Ellsworth
Gregory C. Beroza
ResearchOpen Access07 Aug 2020
Nature Communications

Volume: 11, P: 1-12
Blocking ActRIIB and restoring appetite reverses cachexia and improves survival in mice with lung cancer

Cancer-associated cachexia is characterized by loss of body weight, skeletal muscle and adipose tissue which relates to higher mortality in cancer patients. Here, the authors show in a lung cancer murine model that both ActRIIB signalling inhibition and restoring appetite are necessary to revert cachexia and improve survival in female mice.

Andre Lima Queiroz
Ezequiel Dantas
Marcus D. Goncalves
ResearchOpen Access08 Aug 2022
Nature Communications

Volume: 13, P: 1-17
Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank

Azevedo et al. conduct a machine learning-based analysis of structural MRI data from multiple cohorts. The authors identify Alzheimer’s disease-like neuroimaging phenotypes associated with poorer cognitive performance in a healthy UK Biobank cohort, potentially highlighting a population at risk of Alzheimer’s disease.

Tiago Azevedo
Richard A. I. Bethlehem
Gail Li
ResearchOpen Access20 Jul 2023
Communications Medicine

Volume: 3, P: 1-15
Autotransplantation for renovascular hypertension in children with solitary functioning kidney

R T Krmar
J Sandberg
G Tydén
Research04 Oct 2012
Journal of Human Hypertension

Volume: 27, P: 340-342
Recent advances and applications of deep learning methods in materials science

Kamal Choudhary
Brian DeCost
Chris Wolverton
ReviewsOpen Access05 Apr 2022
npj Computational Materials

Volume: 8, P: 1-26

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Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019

Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

Blocking ActRIIB and restoring appetite reverses cachexia and improves survival in mice with lung cancer

Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank

Autotransplantation for renovascular hypertension in children with solitary functioning kidney

Recent advances and applications of deep learning methods in materials science

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