Violacein is a molecule naturally produced in some bacteria such as Chromobacterium violaceum. It has been shown that violacein has promising antibiotic, anti-tumor proliferation, anti-leishmanial and anti-fungal properties. Violacein is commercially available. However, it is very expensive. The objective of this proposed research study is to measure the effects of violacein produced by Escherichia coli […]

Microneedles are miniaturized needles, typically with lengths below 1 mm and often arranged into an array. These properties are ideally suited for breaching the skin’s outermost layers without activating pain-sensing neurons deeper in the tissue, which has led to much interest in using MNs for interfacing with the skin. One such application consists of using […]

Le circuit innovant de mycoremédiation que nous proposons permettra non seulement de décontaminer plusieurs gisements de résidus problématiques provenant des industries du textile, de l’alimentation et de la construction, mais aussi d’éco-concevoir une alternative au polystyrène pour la protection et l’isolation. Déjà au stade de la preuve de concept avancée, ces myco-matériaux, littéralement tissés par […]

Motor impairment is a common symptom after stroke and recovery of motor function is important for regaining the patient’s independence in activities of daily living. Being able to predict motion recovery and outcomes soon after stroke could support clinicians, patients and families to set proper goals for rehabilitation and appropriate plans of time and resource […]

The proposed project aims to develop innovative cell culture collection and extraction kits designed to streamline and improve the process of collecting cell samples in research laboratories. By addressing the current challenges of manual sample collection, such as time consumption, variability, and error-prone methods, our kit will enhance the reliability and efficiency of biological and […]

Aquatic species, such as fish use effective methods for navigation and propulsion in marine environments. Understanding these functionalities of detecting predators, preys, food, and mates by sensing changes in water velocity and pressure offer valuable insights to design efficient underwater robots. Although underwater odor and chemical cues are crucial for fish navigation, the exact mechanisms […]

Leveraging the groundbreaking research of Dr. Sabrina Leslie and her team, this project represents a significant stride towards mastering the analysis of mRNA within Lipid Nanoparticles (LNP). Building upon our novel findings, published in ACS Nano (2021), which introduced the first quantitative imaging technique for RNA-LNP formulations, we aim to precisely quantify mRNA molecules in […]

Blue-O Technology Inc has developed proprietary samples that have demonstrated antiviral activity against HIV-1 and influenza. Blue-O Technology Inc has purified these proprietary samples to isolate different subunit components. These subunit components will be used by the intern determine which components have anti-HIV or anti-influenza activity. Initial experiments will be undertaken in cell culture systems […]

In the development of AI-assisted imaging tools, Perimeter faces the challenge of enhancing the accuracy and efficiency of tumor margin assessments. This research investigates whether generative AI can be used to synthesize supplemental data, alongside automated data annotation techniques can drive measurable improvements in the performance of Perimeter’s AI tools.

Soil and groundwater pollution with harmful petroleum contaminants such as BTEX is a global concern. BTEX has carcinogenic and mutagenic properties, therefore, it is essential to remove such contaminants for a healthy ecosystem. Microorganism-mediated bioremediation is an extremely promising technique that is cost-effective, efficient, and safe for the environment. However, limited biological knowledge about the […]

This research project, to be undertaken during a 4-month internship at Arizona State University, aims to develop an artificial chemistry system to investigate the influence of pore system topology on molecular complexity, using Assembly Theory as a measure. The project’s significance lies in its potential to enhance our understanding of Assembly Theory, with implications for […]

AI Decision Support Module: An enhanced AI Decision Support Module aimed at streamlining the surgical review process through the identification of suspicious excision margins within medical imaging. Building upon an existing AI framework, which utilizes labeled data for the identification of potentially problematic regions, this project seeks to improve the model’s accuracy and reliability. The […]