Articles

Elsevier,

 

The Journal of Climate Change and Health, Volume 4, 2021, 100063

A study to determine the knowledge and attitudes of future physicians in the Cordillera Region of the Philippines towards climate change.
Elsevier,

 

The Journal of Climate Change and Health, 2021, 100072

The paper investigates the current state of climate-specific healthy literacy in patients and the impact of climate-specific medical advice on patients’ behavior regarding health co-benefits.
Elsevier,

The Journal of Climate Change and Health, Volume 4, 2021, 100070

The healthcare industry is the second leading contributor of waste in the United States. This study reports a waste audit to identify key waste generators in an outpatient practice and start immediately reducing waste and greenhouse gas emissions.
Elsevier,

The Journal of Climate Change and Health, 2021, 100061

An assessment of personal heat exposure measures and strategies to reduce heat risk.
Elsevier,

One Earth, Volume 4, 22 October 2021

Presents an overview of the injustice of loss and damage, discusses the complexities and knowledge gaps, and proposes next steps for an interdisciplinary research agenda.
Elsevier,

SLAS Discovery, Volume 26, October 2021

Organoids are three-dimensional, functional structures that mimic in vivo organs. They offer new opportunities for the modeling of cancer and infectious and rare hereditary diseases. Furthermore, the advent of organoid biobanks opens new avenues for drug screening in a personalized fashion and holds much promise for personalized regenerative medicine. Thus, there is a need for reproducible, large-scale organoid generation with minimal variability, making manual approaches impracticable. Here, we review the current use of automation in organoid culture and analysis, using cerebral and retinal organoids as illustrations of current applications. An increased demand for automated organoid platforms is anticipated.
Elsevier,

Journal of Clinical Densitometry, Volume 24, 1 October 2021

Alzheimer's disease is a strong predictor in survival after hip fracture surgery.

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