Developmental potential of oocytes after cryopreservation

Overall aim of the project: To establish the protocol for oocyte cryopreservation which results in a high success rate of embryo development. We will first use mouse oocytes to test the effects of various compounds supplemented in the cryopreservation medium on subsequent oocyte competence. The mouse has been useful model for elucidating various aspects of oogenesis and reproductive development events including, global oocyte gene expression, intra-oocyte redox state, and critical events during meiotic initiation in the ovary, follicle formation and oocyte growth and maturation.

Assessment and selection of competent oocytes for embryo development

Research project aims:

1) To capture and compare microRNA (MIR) signatures in mouse ovarian follicular fluid and spent media of cumulous cells-oocyte complexes (COCs) isolated from infertility mouse models to identify one or more unique MIR signatures that will distinguish competent oocytes from incompetent oocytes.

Development of Fast Longitudinal Cortical surface extraction, deformation, and Normalization (FALCON) for the measurement of cortical thickness over time from brain magnetic resonance images

The project involves development, validation, and application of new medical image analysis algorithm where cortical thickness is measured from serial brain magnetic resonance imaging (MRI) with improved efficiency and greater sensitivity. Cortical thickness is a relatively new metric that correlates with clinical and cognitive worsening in a variety of neurologic disorders such as multiple sclerosis and Alzheimer's disease.

Development of Fast Longitudinal Cortical surface extraction, deformation, and Normalization (FALCON) for the measurement of cortical thickness over time from brain magnetic resonance images

The project involves development, validation, and application of new medical image analysis algorithm where cortical thickness is measured from serial brain magnetic resonance imaging (MRI) with improved efficiency and greater sensitivity. Cortical thickness is a relatively new metric that correlates with clinical and cognitive worsening in a variety of neurologic disorders such as multiple sclerosis and Alzheimer's disease.

An IGF-Trap for cancer therapy

The Brodt laboratory engineered and developed a novel IGF-targeting molecule (the IGF-Trap) with otent anti-cancer effects. The objective of this project is to optimize the use of this potential drug in re-clinical cancer models and develop sensitive biomarkers for assessing and predicting its effect. In addition, the effect of this inhibitor on pancreatic cancer growth and metastasis and its utility in nononcology ndication will be evaluated.

Proof of concept of formable resin for use in Custom Fit Earphones

The objective of this project is to develop a proof-of-concept of a formable resin in the shape of a customizable inset for an earphone. The material should be relatively inexpensive, take shape rapidly (within a few seconds optimally) and ultimately provide consumers with a customized earphone that will fit the vast majority of the population. Using a simple model silicone mold and using various forming techniques not only will material properties be tailored for the resin, but the forming time will be optimized by the careful selection of components within the device.

Mechanisms and Algorithms for Optimal Use of Inter-Clouds

Cloud computing is one of the pillars of the modern computing infrastructure mainly because it allows the procurement of computing services on a pay-as-you-go basis. However, despite the many benefits offered by cloud computing, it has several significant drawbacks such as data lock-in, lack of universal geographic proximity, risk of service outages, and variable cost structures.

Development of a simple and inexpensive method to quantify surface contamination on metals

Metallic parts are used in combination with oil or grease in many applicaitons, for example in car engines or hinges. To re-use them, the surface of the metal needs to be cleaned. Current technology makes use of solvents to remove the contamination. Although very effective, this method is polluting. Our industry partner (Walter Surface Technologies) has developed a new technology with very low environmental impact. They wish to test the effectiveness of their technology by measuring the amount of contaminant left on metal surfaces after cleaning with their products.

Efficient Computational Methods for Understanding Back Move-ment and Pain from Dynamic Data Modeling

This project uses machine learning algorithms to better understand back movement and low back pain. We apply supervised learning time series algorithms to data collected from Backtracks’ wearable de-vice — which consists of a malleable think curve that reads data collected from the participants’ spine movements. At each time step, such movements are represented as a curve; the dynamic evolution of this curve in time represents an individual’s spinal movements.

Efficient Computational Methods for Understanding Back Move-ment and Pain from Dynamic Data Modeling

This project uses machine learning algorithms to better understand back movement and low back pain. We apply supervised learning time series algorithms to data collected from Backtracks’ wearable de-vice — which consists of a malleable think curve that reads data collected from the participants’ spine movements. At each time step, such movements are represented as a curve; the dynamic evolution of this curve in time represents an individual’s spinal movements.

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