Phytochemistry and nutraceutical potential of Ceylon Cinnamomum species native to Sri Lanka.

Cinnamon is a spice that is renowned for its several medicinal and cosmetic benefits. The research study examined the essential oil content, antioxidant, and anti-inflammatory properties of seven species native to Sri Lanka. Cinnamon bark and leaf samples were used to extract essential oils, methanol, and hexane.

Screen-detected breast cancer and cancer stage by area-level deprivation: a descriptive analysis using data from the National Cancer Registry Ireland.

Breast cancer screening programmes can lead to better disease outcomes, but women from deprived backgrounds are less likely to participate and more likely to present with late-stage cancer. This study aimed to explore associations between deprivation and breast cancer screening outcomes in Ireland during 2009-2018. Data on all female breast cancer cases diagnosed in Ireland during 2009-2018 were extracted from the National Cancer Registry Ireland.

Minimal data poisoning attack in federated learning for medical image classification: An attacker perspective.

The privacy-sensitive nature of medical image data is often bounded by strict data sharing regulations that necessitate the need for novel modeling and analysis techniques. Federated learning (FL) enables multiple medical institutions to collectively train a deep neural network without sharing sensitive patient information. In addition, FL uses its collaborative approach to address challenges related to the scarcity and non-uniform distribution of heterogeneous medical domain data.

Evaluating the reinforcing potential of steam-exploded chitin nanocrystals in chitosan-based biodegradable nanocomposite films for food packaging applications.

Chitosan-based films, despite being biodegradable and edible, often lack the necessary requisite properties such as mechanical strength, water resistance, and thermal stability, which are critical for effective food packaging. To address these limitations, incorporating reinforcing nanofiller materials offers a promising solution. This study utilizes steam-exploded chitin nanocrystals (ChNCs) to reinforce chitosan nanocomposite films through a solution-casting technique.

Addressing statistical challenges in the analysis of proteomics data with extremely small sample size: a simulation study.

Background: One of the most promising approaches for early and more precise disease prediction and diagnosis is through the inclusion of proteomics data augmented with clinical data. Clinical proteomics data is often characterized by its high dimensionality and extremely limited sample size, posing a significant challenge when employing machine learning techniques for extracting only the most relevant information. Although there is a wide array of statistical techniques and numerous analysis pipelines employed in proteomics data analysis, it is unclear which of these methods produce the most efficient, reproducible, and clinically meaningful results.