Researchers from North Carolina State University filed for protection of miniaturized, wireless, wound-monitoring sensors that may be incorporated into swabs or wound dressings for real-time, accurate assessment of wound status.
The first filing to emerge from Identifyher Ltd. seeks to gain protection for a wearable sensor that women can wear daily to track potential symptoms of perimenopause, providing them with data that can be used to find the right management plan for their needs.
The first patenting from Fibra Inc. sees its founder and CEO Parnian Majid describe their development of a non-invasive wearable device which tracks fertility data through the measurement of various physiological parameters.
The first filing from Cancerrisk AI Inc. describes their development of a system that uses deep learning to predict future cancer risk from a biopsy image.
In what represents the first patenting from Eyecheq Inc., the company is seeking protection for its self-guided eye examination systems which may be mounted in easily movable and transportable kiosks, on tabletop stands, walls or suspended from ceilings.
The third PCT family of patenting to emerge from IR Medtek LLC, and its first as the sole named assignee, sees its CEO, Douglas Cohen, continue to build protection for the company’s platform which uses a light detection technology and machine learning to improve the accuracy of cancer diagnosis.
The first patenting from Neuro-Joy Ltd. details development of a device that electrically stimulates facial nerves and muscles in order to emulate a facial expression configured to ameliorate a mood disorder and improve symptoms of depression, anxiety and sleep disorders.
In what represents the first patenting from Cerathrive Ltd., its co-founder and CEO, Sarah Turner, describes their development of the Cera system, which they claim to be the first and only U.S. FDA-cleared red-light device that targets the gut-brain axis to improve focus and energy levels.
Certis Oncology Solutions Inc. filed for protection of its artificial intelligence platform that utilizes big data, statistical algorithms, and machine learning to predict drug efficacy based on gene expression biomarkers.
Researchers from Johns Hopkins University have filed for protection of their Optimal Target Identification via Modelling of Arrhythmogenesis technology – a method that builds a model of a patient’s heart from a cardiac MRI.
