Publications by authors named "A G Bang"

Data synthesis can address important data availability challenges in biomedical informatics. Quantitative evaluation of generative models may help understand their applications to synthesizing biomedical data. This poster paper examines state-of-the-art generative models used in medical imaging, such as StyleGAN and DDPM models, and evaluates their performance in learning data manifolds and in the visible features of generated samples.

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Article Synopsis
  • Therapeutic research on Alzheimer's disease (AD) has shifted towards drug repositioning, specifically looking at FDA-approved medications like efavirenz as potential AD treatments.
  • At low doses, efavirenz activates the enzyme CYP46A1 which helps reduce excess brain cholesterol and improve memory deficits in AD models, showing promising effects without the neurotoxic risks associated with higher doses used for HIV treatment.
  • The review highlights the need for further studies on efavirenz's properties, safety, and effectiveness to evaluate its potential as a candidate for AD drug development.
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Introduction: Accelerated hypofractionated radiotherapy has gained increasing interest for locally advanced NSCLC, as it can potentially increase radiobiologically effective dose and reduce health care resource utilization. Nevertheless, there is sparse prospective evidence supporting routine use of accelerated hypofractionation with or without concurrent chemotherapy. For this reason, the International Association for the Study of Lung Cancer Advanced Radiation Technology Subcommittee conducted a systematic review of prospective studies of accelerated hypofractionation for locally advanced NSCLC.

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Biodiversity is declining at alarming rates, with some negative impacts caused by activities that are necessary for meeting basic human needs and others which should be avoided to prevent ecological collapse. Avoidance of biodiversity impacts is costly; these costs must be distributed fairly. Principles of fair allocation - which are grounded in longstanding theories of justice and are mathematically operationalizable - are rarely used in biodiversity decision-making but can help to deliver procedural and distributive justice alongside biodiversity outcomes.

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