Abstract: A method for determining a disease state prediction, relating to a potential disease or medical condition of a subject, includes accessing a set of subject images, the subject images capturing a part of a subject's body, and accessing a set of clinical factors from the subject. The clinical factors are collected by a device or a medical practitioner substantially contemporaneously with the capture of the subject images. The subject images are inputted into an image data model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image data model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.

Abstract: In some implementations, an optical component includes an optical fiber having a core for guiding signal light and a cladding surrounding the core. A cladding light stripper may be defined for the optical fiber, where the cladding light stripper has a length along the cladding. The optical component may include a package, retaining the cladding light stripper, having a surface that faces the cladding light stripper. A light reflectivity of the surface may vary, by surface location, to control a degree of light absorption along the package.

Abstract: A method for determining a disease state prediction, relating to a potential disease or medical condition of a subject, includes accessing a set of subject images, the subject images capturing a part of a subject's body, and accessing a set of clinical factors from the subject. The clinical factors are collected by a device or a medical practitioner substantially contemporaneously with the capture of the subject images. The subject images are inputted into an image data model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image data model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.

Abstract: A method for determining a disease state prediction, relating to a potential disease or medical condition of a subject, includes accessing a set of subject images, the subject images capturing a part of a subject's body, and accessing a set of clinical factors from the subject. The clinical factors are collected by a device or a medical practitioner substantially contemporaneously with the capture of the subject images. The subject images are inputted into an image model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.

Abstract: A method for determining a disease state prediction, relating to a potential disease or medical condition of a subject, includes accessing a set of subject images, the subject images capturing a part of a subject's body, and accessing a set of clinical factors from the subject. The clinical factors are collected by a device or a medical practitioner substantially contemporaneously with the capture of the subject images. The subject images are inputted into an image model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.

Abstract: A method for determining a disease state prediction, relating to a potential disease or medical condition of a subject, includes accessing a set of subject images, the subject images capturing a part of a subject's body, and accessing a set of clinical factors from the subject. The clinical factors are collected by a device or a medical practitioner substantially contemporaneously with the capture of the subject images. The subject images are inputted into an image model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.

Abstract: A method for determining a disease state prediction, relating to a potential disease or medical condition of a subject, includes accessing a set of subject images, the subject images capturing a part of a subject's body, and accessing a set of clinical factors from the subject. The clinical factors are collected by a device or a medical practitioner substantially contemporaneously with the capture of the subject images. The subject images are inputted into an image data model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image data model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.

Abstract: Detection systems and methods configured to scan and interpret a suspected infection at in vivo biological target site, comprising emitting excitation light selected to elicit fluorescent light from a suspected infection at the target site; sensing fluorescent light emanating from the target site elicited by such excitation light; sensing heat levels above ambient body temperature emanating from the target site; and then based at least in part on the sensed fluorescent light and the heat levels, determining a probability whether the target site comprises an infection.

Abstract: Detection systems and methods configured to scan and interpret a suspected infection at in vivo biological target site, comprising emitting excitation light selected to elicit fluorescent light from a suspected infection at the target site; sensing fluorescent light emanating from the target site elicited by such excitation light; sensing heat levels above ambient body temperature emanating from the target site; and then based at least in part on the sensed fluorescent light and the heat levels, determining a probability whether the target site comprises an infection.

Abstract: Detection systems and methods configured to scan and interpret a suspected infection at in vivo biological target site, comprising emitting excitation light selected to elicit fluorescent light from a suspected infection at the target site; sensing fluorescent light emanating from the target site elicited by such excitation light; sensing heat levels above ambient body temperature emanating from the target site; and then based at least in part on the sensed fluorescent light and the heat levels, determining a probability whether the target site comprises an infection.

Abstract: A method for determining a disease state prediction, relating to a potential disease or medical condition of a subject, includes accessing a set of subject images, the subject images capturing a part of a subject's body, and accessing a set of clinical factors from the subject. The clinical factors are collected by a device or a medical practitioner substantially contemporaneously with the capture of the subject images. The subject images are inputted into an image model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.

Abstract: Detection systems and methods configured to scan and interpret a suspected infection at in vivo biological target site, comprising emitting excitation light selected to elicit fluorescent light from a suspected infection at the target site; sensing fluorescent light emanating from the target site elicited by such excitation light; sensing heat levels above ambient body temperature emanating from the target site; and then based at least in part on the sensed fluorescent light and the heat levels, determining a probability whether the target site comprises an infection.

Abstract: Methods and systems related to detecting disease, such as oral cancer, in a patient, using a viewing scope to investigate a patient's tissues. The systems and methods excite and detect fluorescence from the tissue. The fluorescence can then be evaluated, and the possibility of certain diseases such as cancer can be determined. The devices include an ambient light management system (ALMS, often referred to as a “vestibular device”) that manages background light in the health practitioner's office. This device can be used with scope systems for fluorescence based detection of abnormal tissue.

Abstract: Methods and systems related to detecting disease, such as oral cancer, in a patient, using a viewing scope to investigate a patient's tissues. The systems and methods excite and detect fluorescence from the tissue. The fluorescence can then be evaluated, and the possibility of certain diseases such as cancer can be determined. The devices include an ambient light management system (ALMS, often referred to as a “vestibular device”) that manages background light in the health practitioner's office. This device can be used with scope systems for fluorescence based detection of abnormal tissue.

Abstract: Septic barriers interposed between a target tissue such as an oral or vaginal cavity, exposed epidermis, or wound or surgical site, and a user and his/her optical interrogation instruments to reduce cross-infection and/or contamination. In certain embodiments, the septic barrier is substantially transparent for viewing purposes and is typically effectively non-fluorescent, particularly when used for investigating autofluorescence or other fluorescence emanating from a target, so as to have little or no effect on the measurements and observations being made. The sepsis barrier can comprises a window through which the user sees the tissue, a frame holding the window, and an attachment structure, such as threads or bayonet attachment, configured to connect the barrier to the instrument. If desired, the system can also have an optional attachment mechanism for permanent or temporary connection of a further instrument to the frame, such as a tissue retractor configured to aid manipulation of the target tissue.

Abstract: Handheld imaging and sampling probe systems, and related devices, kits, methods, etc., that may improve the general comfort of gynecological examinations and/or obtaining samples of cells from the vagina or cervix, and may also improve sample collection and thus possibly improve the sensitivity and specificity. The devices comprise an imaging and sample collection probe sized for easy and comfortable insertion into the vagina without requiring the use of a speculum comprising a proximally located handle and at least one relatively thin extension that extends distally from the handle. The probe further comprises at least one light emitter that emits illumination light toward the target tissue, at least one imaging system that detects and images examination light emanating from the target tissue, and a biopsy channel configured to transmit to the target tissue a retractable biopsy or surgical device able to retractably contact the target tissue, typically to obtain a sample of cells from the target tissue.

Abstract: An autofluorescence light examination system having a plurality of modular parts includes a main body, a light source, and at least two detachable instruments. The main body is configured to deliver light to a target tissue and contains at least one optical element configured so that a user can directly view the target tissue through the main body while the target tissue is illuminated by the light source. The main body is further configured to accept at least two detachable instruments that are configured to deliver light to at least two different target tissues located at at least two different areas of the body and configured such that a user can directly view the target tissue through the main body while the target tissue is illuminated by the light source.

Abstract: Devices, systems and methods providing speculums constructed to be substantially or completely non-fluorescent. The speculums can be, for example, constructed entirely of non-fluorescent material such as very dark (e.g., black, dark charcoal gray, navy blue) plastic. The speculums can also be any given material and coated with a substantially non-fluorescing material such as a low-fluorescent paint or laminate, or otherwise constructed and configured in any desired manner providing the feature(s) discussed herein.

Abstract: An accessory system for a vehicle includes an accessory module, at least one accessory and an attachment member at an interior surface of a vehicle windshield. The at least one accessory comprises a camera having a lens, with the camera being disposed in the accessory module, and the accessory module comprising structure to angle the camera with respect to a windshield facing portion of the accessory module. The camera has a forward field of view through the vehicle windshield when the accessory module is mounted to the attachment member. The accessory system may include a resilient element disposed between the windshield facing portion and the interior surface of the vehicle windshield to cushion and/or seal the accessory module relative to the interior surface when the accessory module is mounted to the attachment member at the interior surface of the vehicle windshield.

Abstract: An interior rearview mirror assembly includes a human machine interface having at least one user actuatable input accessible at a portion of the mirror casing. The user actuatable input provides user input to at least one element of circuitry that is disposed in the mirror casing, the interior rearview mirror assembly and/or an accessory module. The circuitry is associated with at least one of (i) a moisture sensor, (ii) a blower motor, (iii) a cabin air monitoring device that monitors the air within the cabin of the vehicle, (iv) a cabin air monitoring device that monitors the level of carbon monoxide in the air within the cabin of the vehicle, (v) an air intake, (vi) a remote ignition system, (vii) a humidity sensing device, and (viii) a display device disposed behind a transflective mirror reflector of the interior rearview mirror assembly and visible to the driver when displaying information.