Johns Hopkins University

Temasek Life Sciences Laboratory Limited

Ian Cheong

Bert Vogelstein

Kenneth W Kinzler

Shibin Zhou

Muthukaruppan Swaminathan

Rongji Sum

Tobias Sjoblom

Obdulio Piloto

Tobias SJÖBLOM

The present invention relates to the field of diagnostics and more particularly to the detection of beta-hemolytic pathogens. More specifically, the present invention relates to the rapid and accurate detection of beta-hemolytic pathogens using sterically-stabilized liposomes.

Detection of beta-hemolytic pathogens

An improved system and method for digital image classification is provided. A host computer having a processor is coupled to a memory storing thereon reference feature data. A graphics processing unit (GPU) having a processor is coupled to the host computer and is configured to obtain, from the host computer, feature data corresponding to the digital image; to access, from the memory, the one or more reference feature data; and to determine a semi-metric distance based on a Poisson-Binomial distribution between the feature data and the one or more reference feature data. The host computer is configured to classify the digital image using the determined semi-metric distance.

Poisson-binomial based image recognition method and system

is an obligate anaerobe that can infect hypoxic regions within experimental tumors. We found that mice bearing large, established tumors were often cured when treated withplus a single dose of liposomal doxorubicin. The secreted factor responsible for this phenomenon was identified and, surprisingly, proved to be a member of the lipase family. The gene encoding this protein, called liposomase, has the potential to be incorporated into diverse therapeutic methods to deliver specifically a variety of chemotherapeutic agents to tumors.

Tumor-specific delivery of therapeutic agents via liposomase

Tumor specific delivery of therapeutic agents via liposomase

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Singapore, Singapore

Ian Cheong