Systems include an invasive sensor and a non-invasive sensor for detection of analytes. The invasive sensor detects one or more non-invasively detected analytes, and the non-invasive sensor detects one or more invasively detected analytes. The one or more non-invasively detected analytes and the one or more invasively detected analytes can include at least one analyte in common, or do not include any analytes in common. The detection of the one or more non-invasively detected analytes and the detection of the one or more invasively detected analytes can be used to

Systems for detecting when a person exhibits a smile with therapeutic benefits including a facial expression detection device and a system processor. The facial expression detection device is configured to acquire facial expression data. The system processor is in data communication with the facial expression detection device and is configured to execute stored computer executable system instructions. The computer executable system instructions include the steps of receiving facial expression parameter data establishing target facial expression criteria, receiving current facial expression data from the facial expression detection device, comparing the current facial expression data to the target facial expression criteria of the facial expression parameter data, and identifying whether the current facial expression data satisfies the target facial expression criteria. The target facial expression criteria define a smile with therapeutic benefits.

A dental treatment appliance transmits a pulsed light signal towards the oral cavity and captures images of the oral cavity from light returned from the oral cavity. A controller actuates the treatment of the oral cavity of the user depending on the captured images.

A computer program and computer-based system for remotely determining a dental treatment plan (10) of a user (30) of a personal computing device (20) by obtaining, using the personal computing device (20), at least one digital image (1) of the person’s oral cavity (31) and additional non-image data (2) comprising a choice (7) of a predefined topic (5) by said user (30). The digital images (1) and non-image data (2) are processed to extract dental health indicators (8) that are used to evaluate any dental condition (9) of said user (30). A dental treatment plan (10) is generated based on the dental condition (9) and a database (3) defining logical relationships between predefined topics (5) and actions (6) for said user (30) to take, wherein a selection of said actions (6) arranged in a regimen and displayed on a user interface (25) of said personal computing device (20).

A method and a system are provided for taking biomarker measurements of patients who have ADHD. Mathematical analysis (e.g., pattern recognition, machine learning and AI algorithms) of the biomarker measurements is used to create a unique personal prediction model and data set for an individual patient. The unique personal data set is used to diagnose and monitor a particular problem of the individual patient associated with ADHD, or to recommend a treatment for a particular problem of the individual patient associated with ADHD, or to predict an outcome of a treatment for a particular problem of the individual patient associated with ADHD.

An orthopedic system configured for use in a pre-operative, intra-operative, and post-operative assessment. The orthopedic system comprises a first screw, a second screw, a first device, a second device, and a computer. The first device and the second device are respectively coupled to a first bone and a second bone of a musculoskeletal system. The first and second devices each include electronic circuitry, one or more sensors, and an IMU. A bracket, wrap, or sleeve can be used to hold the first and second devices to the musculoskeletal system. The first and second devices are configured to send measurement data to a computer. The first and second devices each have an antenna system. Electronic circuitry in the first or second devices are configured to harvest energy from a received radio frequency signal to recharge a battery to maintain operation.

Systems and methods of the present disclosure are directed to neural stimulation via non-invasive sensory stimuli. The non-invasive sensory stimuli can reduce neuroinflammation, improving synaptic plasticity and stimulating neural networking, and improving microglial-mediated clearance of cerebral insults, which would otherwise contribute to the progression of brain atrophy, by inducing synchronized gamma oscillations in at least one region of a brain in a subject. Stimulations can adjust, control or otherwise manage the frequency of the neural oscillations to provide beneficial effects to one or more cognitive states or cognitive functions of the brain, while mitigating or preventing adverse consequences on a cognitive state or cognitive function that stem from progression of brain atrophy.

The present invention relates to the diagnosis and treatment of pelvic floor prolapse. The diagnosis and treatment may involve the use of a multiple sensor-enabled device for vaginal insertion capable of providing real-time data regarding the pa -tient’s physiology, the position and movement of the urethra, and the muscular strength of the patient’s vagina and pelvic floor. The methods and devices of the invention may also be useful to addressing other medical issues, including urinary incontinence, sexual health, and fecal incontinence, as well as facilitate patient home wellness activities.

Disclosed is a system for associating a symptom with a medical condition. The system comprises a server arrangement, associated with a user device. The server arrangement is operable to: provide, to user device, a set of user activities; receive, from user device, information relating to selection of a user activity from set of user activities; receive, from user device, user input associated with selected user activity; analyse user input and assign performance score thereto; identify, based on performance score, one or more symptoms; and assign severity score to symptom for associating symptom with medical condition. Disclosed also is method for associating symptom with medical condition and computer program product to execute aforementioned method.

A photoacoustic imaging approach identifies, concurrently with ablation therapy, an extent of the ablation by measuring and rendering a necrotic extent of treated tissue in a treatment region. Laser pulsed light directed at the treatment region induces an acoustic (ultrasound) signal for differentiating ablated tissue from its non-ablative counterpart based on a photoacoustic spectrum variation. The acoustic signal indicates a range of necrotic extent based on a quantified ablated tissue contrast and a total contrast of both necrotic and non-necrotic tissue, defined as a fraction for computing a degree of necrosis. Generation of an image indicating the degree of necrosis allows continuous or near continuous feedback for ablation therapy guidance to ensure complete and effective ablation of the proper tissue in the treatment region.