Compounds and methods to target transmembrane domain of membrane proteins (e.g., APPTM) to inhibit intramembrane proteolysis

Intramembrane proteolytic cleavage is an important process in a number of signaling pathways and pathologies. One of the best-known is that of Alzheimer’s Disease (AD), where the gamma-secretase enzyme cleaves amyloid precursor protein (APP) to create free amyloid. This free amyloid accumulates to form amyloid plaques during the later stages of the disease. New drugs are urgently needed to address AD and the disclosed compound represents such potential drug. This technology is a compound that can bind and covalently modify the transmembrane (TM) domain of the amyloid precursor protein.

Simultaneous Interior MRI and X-ray Imaging System (MRX)

Hybrid imaging combines different imaging modalities to obtain information from both systems, such as anatomy and physiology through MRI while leveraging tools available for X-ray fluoroscopy. Hybrid image systems could offer the benefits of increased diagnostic accuracy, faster examinations, and a better understanding of different medical professions. Current medical imaging research leverages hybrid imaging, which is of particular value to interventional applications as additional information is provided with MRI and soft-tissue contrast.

Spectral Interior Tomography for Carotid Plaque Characterization

Strokes are one of the primary sources of long-term disability with billions in annual direct and indirect costs to the United States healthcare system. Nearly one-third of all strokes occur in patients with clogged carotid arteries. Carotid artery imaging types include digital subtraction angiography (DSA), duplex ultrasonography (DUS), CT angiography, and MR angiography. These imaging techniques provide information on the carotid artery’s shape, localized blood flow, and plaque composition.

Invention Title Ultrasound Imaging and Deep Learning Methods and Apparatus for Multi-dimensional image-based Biomarkers

Researchers at Rensselaer Polytechnic Institute are developing a non-invasive and user-friendly wearable

device for monitoring blood pressure, blood glucose, and biomarkers, which could improve quality of life, 

decrease healthcare expenditure, and allow for early intervention for potentially serious diseases. 

 

Currently, a major area of interest within the medical wearable device industry is the real-time monitoring

of blood pressure. More than 100 million adults in the United States and a third of the worldwide population

Optical Reservoir Computing for Lung Tumor Movement Prediction in Radiation Therapy Applications

"Researchers at RPI developed an optical reservoir computer (ORC) with commercial off-the-shelf components to predict lung tumor motion during radiotherapy. The technology could improve radiation therapy outcomes and yield applications for other imaging modalities. The ORC shows comparable motion prediction accuracy and error rates to traditional neural networks (long short-term memory (LSTM), Multi-Layer Perceptron Neural Network (MLP-NN), and Adaptive Boosting and Multi-Layer Perceptron Neural Network (ABMLP-NN)).

Apparatus and manufacturing method for in-situ impregnation of continuous fiber tows with thermoplastic resin for use in additive manufacturing.

Using raw materials (thermoplastic pellets and rolls of fiber tows), this invention will continuously impregnate fiber tows with molten thermoplastic resin for fabrication of custom composite shapes, unlike current methods, which do not use raw materials and are extremely expensive processes. The ‘In Situ’ process can be used to either directly “print” composite parts in an additive manufacturing approach or to manufacture pre-impregnated (prepreg) composite material for use in other manufacturing technologies.

Machine learning to correct for nonphotochemical quenching in high-frequency, in vivo fluorometer data

Nonphotochemical quenching (NPQ) is a response mechanism in plants and algae that allows them to process and dissipate excess excitation energy as heat safely. Collecting fluorescence data from these plants and algae in surface water environments can incur errors from NPQ, ultimately leading to inaccurate calculations of chlorophyll concentration for environmental and industrial water quality monitoring. Rensselaer inventors developed a novel approach to correcting NPQ-skewed fluorescence data by employing trained machine-learning modules that can be applied to fluorescence detection system

Nanoparticle-enabled X-ray Magnetic Resonance Imaging (NXMR)

Researcher Ge Wang and team created imaging systems and methods using excited nanoparticles coupled between CT and MRI to provide faster localization information for targeted, high resolution imaging. The study of biological systems is a complex pursuit that requires sufficient models and tools to measure responses to controlled changes in the system, however, there has been a lack of appropriate microscopy allowing insight into deep 3D models of molecular and cellular function due to the diffusive properties of optical light. Wang and his team overcame limitations in the field by using nan

Directed evolution for Membranes Development in 3 Dimensions

Researchers at Rensselaer Polytechnic Institute (RPI) created a 3D computer simulation tool to assess the behavior/interaction of a hydrophobic membrane material with waste/feed water particles to assist membrane manufacturers/end-users in identifying a high performing membrane filtration/separation system. This simulation protocol could represent a viable, more cost-effective technique for membrane system designers within the wastewater treatment, desalination, food processing, pharmaceutical biotech, and oil/gas industries.

Use of E.coli co-cultures for the production of flavonoids

Metabolic engineering and synthetic biology have enabled the use of microbial production platforms for the renewable production of many high-value natural products. Titers and yields, however, are often too low to result in commercially viable processes. Microbial co-cultures have the ability to distribute metabolic burden and allow for modular specific optimization in a way that is not possible through traditional monoculture fermentation methods. Rensselaer Inventors created a new type of E.