Image guided micro-Raman spectroscopy

    公开(公告)号:US11555742B2

    公开(公告)日:2023-01-17

    申请号:US17271826

    申请日:2019-09-04

    摘要: Systems for confocal Raman spectroscopy of points of interest or regions of interest with concurrent imaging are disclosed. The imaging may be used for real time selection of points of interest or regions of interest for Raman spectroscopy and to monitor for unwanted motions of a sample while Raman spectra are acquired. Disclosed embodiments apply Reflectance confocal microscopy (RCM) in a confocal Raman spectroscopy system. A single laser may be used as a light source for both RCM and micro-Raman spectroscopy. A Faraday optical isolator may be applied to extract RCM signals for imaging Systems as described herein have example application for ex vivo sample and in vivo skin measurement.

    Respiratory treatment apparatus
    45.
    发明授权

    公开(公告)号:US11123509B2

    公开(公告)日:2021-09-21

    申请号:US15594381

    申请日:2017-05-12

    发明人: F. Robert Purdy

    IPC分类号: A61M16/04 A61F2/50

    摘要: Disclosed is a respiratory treatment apparatus that may be especially helpful for pediatric patients, though it may be useful for patients of all ages. In one embodiment, the apparatus comprises an endotracheal tube that is physically coupled to a bronchial blocker in a non-concentric fashion. In another embodiment, the apparatus comprises an endotracheal tube that is physically coupled to a steering balloon apparatus. The endotracheal tube, bronchial blocker, and/or steering balloon apparatus may be non-unitary components that are attachable to one another with one or more attachment structures, and once physically coupled, may be put to use. The endotracheal tube and bronchial blocker and steering balloon apparatus may be selected from a plurality of endotracheal tubes and bronchial blockers and steering balloon apparatus, to create an assembled apparatus that meets the needs of the patient.

    RADIOLABELED MELANOCORTIN 1 RECEPTOR-SPECIFIC ALPHA-MELANOCYTE-STIMULATING HORMONE ANALOGUES FOR IMAGING OR THERAPY

    公开(公告)号:US20210205483A1

    公开(公告)日:2021-07-08

    申请号:US17057506

    申请日:2019-05-23

    摘要: A compound is provided comprising a melanocortin 1 receptor (MC1R) targeting peptide (MC1RTP), a radiolabeling group, and a linker joining the MC1RTP to the radiolabeling group. The MC1RTP is linear or cyclized, and comprises a sequence of Formula I or Formula II: Xaa1-Xaa2a-Xaa3-Xaa4-Xaa5-Xaa6-Xaa7a (I) or Xaa1-Xaa2b-Xaa3-Xaa4-Xaa5-Xaa6-Xaa7b (II). Xaa1 is L-/D-Nle, L-/D-Nle, L-/D-Ala, L-/D-Leu, L-/D-Ile, D-Ile, L-/D-Cys, L-/D-Met, L-/D-Phe, L-/D-Trp, L-/D-Val, L-/D-Nal, L-/D-2-Nal, Gly, L-/D-α-aminobutryic acid, L-/D-norvaline, or L-/D-homonorleucine. Xaa2a and Xaa7b are L-/D-Cys, L-/D-Asp, L-/D-Glu, L-/D-2-Aad, L-/D-3-Aad, L-/D-Pra, L-/D-Hpg, or L-/D-Bpg. Xaa2b and Xaa7a are L-/D-Cys, L-/D-Lys, L-/D-Orn, L-/D-Dab, L-/D-Dap, L-/D-Lys(N3), L-/D-Orn(N3), L-/D-Dab(N3), L-/D-Dap(N3), L-/D-2-(5′-azidopentyl)alanine, or L-/D-2-(6′-azidohexyl)alanine. Xaa3 is L-/D-His, Pro, beta-(1,2,3-triazol-4-yl)-L-alanine, beta-(1,2,3-triazol-4-yl)-D-alanine, 1,2,4-triazole-3-alanine, or 1,2,4-triazole-3-D-N alanine. Xaa4 is L-/D-Phe, L-/D-2-Nal, L-/D-Phe(4-F), L-/D-Phe(4-Cl), L-/D-Phe(4-Br), L-/D-Phe(4-I), L-/D-Phe(4-NH2), or L-/D-Phe(4-NO2). Xaa5 is L-/D-Arg, L-/D-hArg), Leu, L-/D-Agb, or L-/D-Agp. Xaa6 is L-/D-Trp, L-/D-Phe, L-/D-Trp(5-Br), L-/D-Trp(5-OCH3), L-/D-Trp(6-F), L-/D-Trp(5-OH) or L-/D-Trp(CHO). One or more amino acid residues of the MC1RTP is alpha N-methylated, wherein 1, 2, 3 or 4 of Xaa3, Xaa5, Xaa6 and Xaa7a is alpha N-methylated or wherein 1, 2, 3 or 4 of Xaa3, Xaa5, Xaa6 and Xaa7b is alpha N-methylated. The linker comprises an albumin-binding group.

    Lung cancer prediction
    48.
    发明授权

    公开(公告)号:US12059284B2

    公开(公告)日:2024-08-13

    申请号:US17597214

    申请日:2020-06-23

    摘要: A device may obtain first information relating to one or more first lung nodules identified in first imaging of a chest of a patient and second information relating to one or more second lung nodules identified in second imaging of the chest of the patient. The device may provide the first information and the second information to a machine learning model. The device may determine, using the machine learning model, a risk of lung cancer associated with the patient based on an elapsed time between performance of the first imaging and the second imaging and differences between the first information and the second information. The risk of lung cancer may have an inverse correlation to the elapsed time and a direct correlation to the differences. The device may perform one or more actions based on the risk of lung cancer that is determined