Abstract: Provided herein are antibody drug conjugates of the formula (I) comprising an anti-CEACAM5 antibodies, antigen binding portions thereof that is conjugated with a linker and exatecan. The disclosure also provides a method of treating cancer in a subject in need thereof comprising administering to the subject an antibody drug conjugate disclosed herein.

Abstract: Methods and apparatuses for assessing oral health and automatically providing diagnosis of one or more oral diseases. Described herein are intraoral scanning methods and apparatuses for collecting and analyzing image data and to detect and visualize features within image data that are indicative of oral diseases or conditions, such as gingival inflammation or oral cancer. These methods and apparatuses may be used for identifying and evaluating lesions, redness and inflammation in soft tissue and caries and cracks in the teeth. The methods can include training a machine learning model and using the trained machine learning model to provide a diagnosis of an oral disease or condition based on image data collected using multiple scanning modes of an intraoral scanner.

Abstract: Provided herein are isolated anti-CEACAM5 antibodies, antigen binding portions thereof, bispecific antibodies, and conjugates (e.g., antibody-drug conjugates), which specifically bind to CEACAM5 and are internalized by CEACAM5 expressing cells. Also provided are nucleic acids encoding the anti-CEACAM5 antibodies and antigen binding portions, methods for treating cancer comprising administration of CEACAM5-targeted antibodies, antigen binding portions thereof, bispecific antibodies, and conjugates and/or associated therapies, as well as methods of diagnosis, and kits.

Abstract: An intraoral scanner system includes a probe, un-patterned light sources, fluorescence-inducing light sources and near infrared (NIR) light sources couple to the probe. The system includes cameras coupled to the probe. The system including one or more processing devices configured to control an operation of the un-patterned light sources, the fluorescence-inducing light sources and the NIR light sources. The one or more processing devices are configured to alternately illuminate the dental site using different light sources among the un-patterned light sources, the fluorescence-inducing light sources, and the near infrared (NIR) light sources to generate a first image corresponding to the dental site and a second image corresponding to the dental site. The one or more processing devices are further configured to generate, using the first image and the second image, a composite image that reduces a loss of image contrast from returning light from the dental site.

Abstract: Provided herein are antibody drug conjugates of the formula (I) comprising an anti-CEACAM5 antibodies, antigen binding portions thereof that is conjugated with a linker and exatecan. The disclosure also provides a method of treating cancer in a subject in need thereof comprising administering to the subject an antibody drug conjugate disclosed herein.

Abstract: Methods and apparatuses (e.g., systems) for assessing oral health. In some examples, one or more periodontal pockets in a 3D model of a dental arch may be identified. The digital 3D model may be generated from scan data collected from an oral scan, where the scan data may include 3D surface data and one or more of: color image data, near-infrared (NIR) data, and fluorescence imaging data. A periodontal pocket depth may be determined for each periodontal pocket using a trained machine learning model, which may be trained on image data including previous 3D surface data and one or more of: previous color image data, previous NIR data, and previous fluorescence imaging data. An indicator of the determined periodontal pocket depth may be displayed on one or more 2D images and/or the digital 3D model of the subject's dental arch.

Abstract: An intraoral scanner includes a probe with a sensing face, patterned light sources that are coupled to the probe, un-patterned light sources coupled to the probe, near infrared (NIR) light sources couple to the probe, cameras coupled to the probe, and a processing device coupled to the probe. The processing device is configured to control an operation of the patterned light sources, the un-patterned light sources, and the NIR light sources.

Abstract: Removable barrier devices (e.g., sleeves) for covering medical scanning devices to reduce the chance of cross-contamination between patients and/or to protect the scanning devices from physical damage. The barrier device can include a cover that has an integrated window for passing optical signals between the scanning device and an external environment. The cover can include a sleeve that covers a handle portion of the scanning device to prevent contamination of the handle from a user's hand or glove. The cover and sleeve may both be formed of the same flexible material, or the cover may be rigid to maintain the window in a fixed position and the sleeve may be flexible to allow a user to activate a button or touchpad on the handle. An interface region between the cover and sleeve may provide a hermetic seal. The window may include a nanostructured antireflective material to limit internal reflections.

Abstract: Removable barrier devices for covering an intraoral scanner. The barrier device includes a cover that is adapted to fit over a probe of the scanner. The cover includes a distal portion having walls defining an internal cavity for accommodating a distal end of the probe and formed of a first material, wherein at least one of the walls includes at least one window for allowing transmission of an optical signal between the probe and an external environment. The cover also includes a proximal portion coupled to the distal portion. The barrier device also includes a flexible sleeve adapted to cover a handle of the scanner, the flexible sleeve coupled to the proximal portion of the cover at an interface region configured to prevent fluid from passing through the barrier device between the cover and the sleeve.

Abstract: Methods and apparatuses for assessing oral health and automatically providing diagnosis of one or more oral diseases. Described herein are intraoral scanning methods and apparatuses for collecting and analyzing image data and to detect and visualize features within image data that are indicative of oral diseases or conditions, such as gingival inflammation or oral cancer. These methods and apparatuses may be used for identifying and evaluating lesions, redness and inflammation in soft tissue and caries and cracks in the teeth. The methods an include training a machine learning model and using the trained machine learning model to provide a diagnosis of an oral disease or condition based on image data collected using multiple scanning modes of an intraoral scanner.

Abstract: Methods and apparatuses for assessing oral health and automatically providing diagnosis of one or more oral diseases. Described herein are intraoral scanning methods and apparatuses for collecting and analyzing image data and to detect and visualize features within image data that are indicative of oral diseases or conditions, such as gingival inflammation or oral cancer. These methods and apparatuses may be used for identifying and evaluating lesions, redness and inflammation in soft tissue and caries and cracks in the teeth. The methods can include training a machine learning model and using the trained machine learning model to provide a diagnosis of an oral disease or condition based on image data collected using multiple scanning modes of an intraoral scanner.

Abstract: An apparatus for intraoral scanning comprises an elongate wand comprising a probe at a distal end of the wand, one or more cameras and a computer processor. The one or more cameras are disposed within the probe and arranged within the probe such that the one or more cameras receive rays of light from an intraoral cavity in a non-central manner, wherein the non-central manner in which the one or more cameras receive the rays of light from the intraoral cavity introduces image distortion. The computer processor is configured to generate a three-dimensional model of an intraoral surface based on images from the one or more cameras, wherein the computer processor compensates for the image distortion specifically introduced by the non-central manner in which the one or more cameras receive the rays of light from the intraoral cavity.

Abstract: Apparatuses, including sleeves, intraoral scanning systems to use these sleeves, and methods of using the sleeve. These sleeves may preserve the optical performance of the scanner while also providing a physical protection to the scanner itself, and may cover the entire intraoral scanner (e.g., the wand and/or connecting cable) or only the tip of the scanner (e.g., the wand portion) to prevent contamination.

Abstract: Removable barrier devices (e.g., sleeves) for covering medical scanning devices to reduce the chance of cross-contamination between patients and/or to protect the scanning devices from physical damage. The barrier device can include a cover that has an integrated window for passing optical signals between the scanning device and an external environment. The cover can include a sleeve that covers a handle portion of the scanning device to prevent contamination of the handle from a user's hand or glove. The cover and sleeve may both be formed of the same flexible material, or the cover may be rigid to maintain the window in a fixed position and the sleeve may be flexible to allow a user to activate a button or touchpad on the handle. An interface region between the cover and sleeve may provide a hermetic seal. The window may include a nanostructured antireflective material to limit internal reflections.

Abstract: Removable barrier devices (e.g., sleeves) for covering medical scanning devices to reduce the chance of cross-contamination between patients and/or to protect the scanning devices from physical damage. The barrier device can include a cover that has an integrated window for passing optical signals between the scanning device and an external environment. The cover can include a sleeve that covers a handle portion of the scanning device to prevent contamination of the handle from a user's hand or glove. The cover and sleeve may both be formed of the same flexible material, or the cover may be rigid to maintain the window in a fixed position and the sleeve may be flexible to allow a user to activate a button or touchpad on the handle. An interface region between the cover and sleeve may provide a hermetic seal. The window may include a nanostructured antireflective material to limit internal reflections.

Abstract: An electrical field detector includes an electromechanical oscillator, part of which is included of a piezoelectric element, a frequency measuring device which is coupled to the oscillator so as to measure the oscillation frequency, and an electrical masking assembly. The electrical masking assembly is arranged close to the piezoelectric element so that, during an use of the detector, the piezoelectric element moves by vibrating relative to the electrical masking assembly. A variable part of the piezoelectric element is thus exposed to the electrical field to be measured. A change in the oscillating frequency then forms an electrical field measurement result.

Abstract: The present disclosure provides compositions of anti-ceramide antibodies and antigen-binding fragments thereof. The disclosure further provides methods of preventing or inhibiting cell death in a subject in need thereof comprising administering the anti-ceramide antibodies or antigen-binding fragments to a subject. The subject in need thereof may suffer from an autoimmune disease, GI syndrome, or GvHD.

Abstract: An electrical field detector includes an electromechanical oscillator, part of which is included of a piezoelectric element, a frequency measuring device which is coupled to the oscillator so as to measure the oscillation frequency, and an electrical masking assembly. The electrical masking assembly is arranged close to the piezoelectric element so that, during an use of the detector, the piezoelectric element moves by vibrating relative to the electrical masking assembly. A variable part of the piezoelectric element is thus exposed to the electrical field to be measured. A change in the oscillating frequency then forms an electrical field measurement result.

Abstract: An intraoral scanner includes a probe with a sensing face, patterned light sources that are coupled to the probe, un-patterned light sources coupled to the probe, near infrared (NIR) light sources couple to the probe, cameras coupled to the probe, and a processing device coupled to the probe. The processing device is configured to control an operation of the patterned light sources, the un-patterned light sources, and the NIR light sources.

Abstract: Methods and apparatuses for assessing oral health and automatically providing diagnosis of one or more oral diseases. Described herein are intraoral scanning methods and apparatuses for collecting and analyzing image data and to detect and visualize features within image data that are indicative of oral diseases or conditions, such as gingival inflammation or oral cancer. These methods and apparatuses may be used for identifying and evaluating lesions, redness and inflammation in soft tissue and caries and cracks in the teeth. The methods an include training a machine learning model and using the trained machine learning model to provide a diagnosis of an oral disease or condition based on image data collected using multiple scanning modes of an intraoral scanner.