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The Effect of Neem on Common Nosocomial Infection-Causing Organisms

Shah et al. | Jan 27, 2020

The Effect of Neem on Common Nosocomial Infection-Causing Organisms

Nosocomial infections acquired in hospitals pose a risk to patients, a risk compounded by resistant microorganisms. To combat this problem, researchers have turned to bioactive compounds from medicinal plants such as the widely used neem. In the present study, researchers sought to determine the effectiveness of different neem preparations against several hospital acquired human pathogens. Neem powder in water successfully inhibited microorganism growth making it a potential agent to combat these infections.

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Bacteriophage TLS sensitizes Escherichia coli to antibiotics

Emann et al. | Mar 04, 2026

Bacteriophage TLS sensitizes <i>Escherichia coli</i> to antibiotics

Antibiotic resistance is a growing global health threat, and one strategy to combat it is using bacteriophages to enhance the effectiveness of existing antibiotics. This study tested whether targeting the TolC protein in E. coli with the TLS bacteriophage would increase bacterial sensitivity to antibiotics.

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Investigating the inhibition of catabolic enzymes for implications in cardiovascular diseases and diabetes

Gandhi et al. | Aug 25, 2024

Investigating the inhibition of catabolic enzymes for implications in cardiovascular diseases and diabetes
Image credit: The authors

Enzymes that metabolize carbohydrates and lipids play a key role in our health, including global health challenges like cardiovascular diseases and diabetes. To learn more about these important enzymes, Gandhi and Gandhi test whether various natural substances (ginger, Aloe vera, lemon, and mint leaves) affect the activity of α-amylase and lipase enzymes.

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Cleaning up the world’s oceans with underwater laser imaging

Gurbuz et al. | Jul 07, 2023

Cleaning up the world’s oceans with underwater laser imaging
Image credit: Naja Bertolt Jensen

Here recognizing the growing amount of plastic waste in the oceans, the authors sought to develop and test laser imaging for the identification of waste in water. They found that while possible, limitations such as increasing depth and water turbidity result in increasing blurriness in laser images. While their image processing methods were somewhat insufficient they identified recent methods to use deep learning-based techniques as a potential avenue to viability for this method.

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