The United States of America, As Represented by the Secretary, Department of Health and Human Services

Koninklijke Philips Corporation N.V.

The United States of America, Represented by the S

Peter Choyke

Hisataka Kobayashi

Noriko Sato

Gary L Griffiths

Bradford Johns Wood

Sheng Xu

Haitao Wu

Jochen Kruecker

Ronald M Summers

Martin John Schnermann

Peter A Pinto

Marcelino Bernardo

Baris Turkbey

Neil Glossop

Guy Shechter

Nathan S Lay

Ian Farmer

Yohannes Tsehay

Francesca Mertan

Kazuhide Sato

Jin Tae Kwak

Matthew Greer

Makoto Mitsunaga

Ruida Cheng

Holger Roth

Matthew J McAuliffe

Sonia Gaur

The invention provides a method of preparing aZr-oxine complex of the formula The invention also provides a method of labeling a cell with theZr-oxine complex and a method for detecting a biological cell in a subject comprising administering theZr-oxine complex to the subject.

Method of preparing zirconium-89 oxine complex

The present disclosure relates to compositions and methods of killing cells in vitro or in vivo. In particular examples, the method includes contacting a cell having a cell surface protein with a therapeutically effective amount of an antibody-IR700 molecule, wherein the antibody specifically binds to the cell surface protein. In particular examples the antibody recognizes a tumor-specific antigen on the surface of a tumor cell. The cell is subsequently irradiated, such as at a wavelength of 660 to 740 nm at a dose of at least 1 J cm, thereby killing the cell. Also provided are wearable devices that include an article of clothing, jewelry, or covering; and an NIR LED incorporated into the article, which can be used with the disclosed methods.

Photosensitizing antibody-fluorophore conjugates

This disclosure provides IR700-molecule conjugates and methods of their use to remove (e.g., separate or isolate) a target from a sample in vivo or from a subject in vitro. It is shown herein that exposure of IR700 to near infrared (NIR) light removes a portion of IR700, changing it from a hydrophilic molecule, to one that is hydrophobic, resulting in aggregation of IR700 and anything bound to it. For example, the disclosed IR700-molecule conjugates and methods provide photo-controlled ways to control the pharmacokinetics of a drug in vivo, and can be used to remove undesired agents from environmental or food samples or to isolate target molecules in a laboratory.

Photo-controlled removal of targets in vitro and in vivo

The present disclosure relates to compositions and methods of killing cells. In particular examples, the method includes contacting a cell having a cell surface protein with a therapeutically effective amount of an antibody-IR700 molecule, wherein the antibody specifically binds to the cell surface protein, such as a tumor-specific antigen on the surface of a tumor cell. The cell is subsequently irradiated, such as at a wavelength of 660 to 740 nm at a dose of at least 1 J cm. The cell is also contacted with one or more therapeutic agents (such as an anti-cancer agent), for example about 0 to 8 hours after irradiating the cell, thereby killing the cell. Also provided are methods of imaging cell killing in real time, using fluorescence lifetime imaging. Also provided are wearable devices that include an article of clothing, jewelry, or covering; and an NIR LED incorporated into the article, which can be used with the disclosed methods.

Disclosed prostate computer aided diagnosis (CAD) systems employ a Random Forest classifier to detect prostate cancer. System classify individual pixels inside the prostate as potential sites of cancer using a combination of spatial, intensity and texture features extracted from three sequences. The Random Forest training considers instance-level weighting for equal treatment of small and large cancerous lesions and small and large prostate backgrounds. Two other approaches are based on an AutoContext pipeline intended to make better use of sequence-specific patterns. Also disclosed are methods and systems for accurate automatic segmentation of the prostate in MRI. Methods can include both patch-based and holistic (image-to-image) deep learning methods for segmentation of the prostate. A patch-based convolutional network aims to refine the prostate contour given an initialization. A method for end- to-end prostate segmentation integrates holistically nested edge detection with fully convolutional networks. HNNs automatically learn a hierarchical representation that improve prostate boundary detection.

Detection of prostate cancer in multi-parametric MRI using random forest with instance weighting and MR prostate segmentation by deep learning with holistically-nested networks

Zirconium-89 oxine complex as a cell labeling agent for positron emission tomography

It is shown that CD25-targeted near-infrared photo-immunotherapy causes a unique, rapid and spatially selective depletion of Tregs leading to regression of the treated tumor and inducing systemic immunologic responses in untreated tumors. Based on these observations, provided are compositions and methods of killing immune suppressor cells, for example to treat cancer. Reducing the number of suppressor cells in a subject can remove suppression of effector T cells, for example, to treat cancer using the subject's own immune system. In particular examples, the method includes contacting suppressor cells having a suppressor cell surface protein with an antibody-IR700 molecule, wherein the antibody specifically binds to the suppressor cell surface protein, and in some examples the antibody does not have a functional Fc region. The cell is subsequently irradiated, such as at a wavelength of 660 to 740 nm, for example at a dose of at least 4 J cm.

Near infrared photoimmunotherapy (NIR-PIT) of suppressor cells to treat cancer

The invention provides a method of preparing aZr-oxine complex of the formula. The invention also provides a method of labeling a cell with theZr-oxine complex and a method for detecting a biological cell in a subject comprising administering theZr-oxine complex to the subject. 

Methods and systems for diagnosing cancer in the prostate and other organs are disclosed. Exemplary methods comprises extracting texture information from MRI imaging data for a target organ, sometimes using two or more different imaging modalities. Texture features are determined that are indicative of cancer by identifying frequent texture patterns. A classification model is generated based on the determined texture features that are indicative of cancer, and diagnostic cancer prediction information for the target organ is then generated to help diagnose cancer in the organ.

Automated cancer detection using MRI

A method, apparatus and system for fusing real-time ultrasound images with pre-acquired medical images are described.

System and method for fusing real-time ultrasound images with pre-acquired medical images

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Rockville, MD, United States of America

Peter Choyke