Abstract: An improved wearable device for detecting progression of Cardiac Amyloidosis based on changes in relative values of characteristics of P-wave and R-wave is disclosed. In an embodiment of the invention, two electrodes the device are connected to user's skin surface to obtain traces of ECG signals. Thereafter, correction factors are determined for the obtained traces of ECG signals. A microprocessor included in the device applies correction factors on the traces of ECG signals to obtain characteristics of P-wave and R-wave. Finally, the microprocessor determines the ratio of the characteristics (such as amplitude) of the P-wave to the characteristics (such as amplitude) of the R-wave and records said ratio. Still further, the microprocessor compares all such recorded ratios or features, to determine and display if there is disease progression.

Abstract: Disclosed is inhaling or spraying sodium fluoride (NaF) or other fluoride salts, e.g., stannous fluoride, potassium fluoride, calcium fluoride, or magnesium fluoride, or other fluoride compounds, e.g., sodium monofluoro phosphate, in solution or in emulsion (carried in, e.g., a lipid phase) or where the solution or emulsion is encapsulated in microparticles into the mouth region and/or nasal cavities for treatment or prophylaxis of viral infections, including SARS-CoV-2 and other corona viruses, influenza, parainfluenza and rhinoviruses (which are the primary agents responsible for common colds) and other human and animal respiratory pathogenic viruses.

Abstract: Disclosed is sampling HF-QRS signals from a number of subjects (or derived values or features), and using e.g. deep learning-convolutional neural networks to find features or values which are (i) sufficiently similar for the same subject over all samples, yet (ii) sufficiently different among different subjects to allow identification. Also disclosed is finding signatures which are sufficiently stable over a particular period such that these signatures are within a deviation threshold, and then monitoring all subjects to be identified at least as often as the period used to establish the deviation threshold.

Abstract: Disclosed is sampling HF-QRS signals from a number of subjects (or derived values or features), and using e.g. deep learning-convolutional neural networks to find features or values which are (i) sufficiently similar for the same subject over all samples, yet (ii) sufficiently different among different subjects to allow identification. Also disclosed is finding signatures which are sufficiently stable over a particular period such that these signatures are within a deviation threshold, and then monitoring all subjects to be identified at least as often as the period used to establish the deviation threshold.

Abstract: Disclosed is sampling HF-QRS signals from a number of subjects (or derived values or features), and using e.g. deep learning-convolutional neural networks to find features or values which are (i) sufficiently similar for the same subject over all samples, yet (ii) sufficiently different among different subjects to allow identification. Also disclosed is finding signatures which are sufficiently stable over a particular period such that these signatures are within a deviation threshold, and then monitoring all subjects to be identified at least as often as the period used to establish the deviation threshold.

Abstract: Disclosed is sampling HF-QRS signals from a number of subjects (or derived values or features), and using e.g. deep learning-convolutional neural networks to find features or values which are (i) sufficiently similar for the same subject over all samples, yet (ii) sufficiently different among different subjects to allow identification. Also disclosed is finding signatures which are sufficiently stable over a particular period such that these signatures are within a deviation threshold, and then monitoring all subjects to be identified at least as often as the period used to establish the deviation threshold.

Abstract: Disclosed herein are embodiments of an occlusion device that can be delivered into the vascular system of a patient for inducing weight loss. The device can be formed from a body that can expand from a collapsed to an expanded position, where the body can be configured to at least partially occlude a blood vessel. Further, the device can comprise a first and second end joined by a center section. One of the ends can contain a retrieval element for easily removing the device from the patient.

Abstract: A method and apparatus for percutaneously implanting an aortic valve prosthesis includes a pump for pumping oxygenated blood from the left atrium into the descending aorta, during a period of time in which an aortic valve prosthesis is being implanted within a diseased aortic valve. First and second catheters are associated with the pump, and a third catheter has an end which is adapted for insertion into the ascending aorta, and the third catheter has an aortic valve prosthesis associated with another end of the third catheter.

Abstract: A method and apparatus for long-term assisting the left ventricle of a heart to pump blood is disclosed which includes at least one transluminally deliverable pump and a transluminally deliverable support structure which secures the at least one pump within the aorta for long-term use.