Meclizine Hydrochloride

This trial is testing a medication called tradipitant to see if it can help people who get sick when they travel. The study includes both men and women who experience motion sickness. Tradipitant works by stopping the brain from sending signals that cause nausea and vomiting. Tradipitant has the potential to be an effective therapy for the prevention of vomiting and treatment of nausea in people with motion sickness.

Vertigo, dizziness, and imbalance are commonly reported by patients and technologists when near high-field strength magnets (\>4 Tesla, T) used for magnetic resonance imaging (MRI) (1-5) Prior research from the investigators has established that the mechanism is likely a Lorentz force occurring in the inner ear, as a result of interactions with normal electrical currents in the inner ear and the strong static magnetic field of the MRI machine. The investigators have recently developed preliminary data to suggest that slower rates of entry into the magnetic field can greatly attenuate the sensations of vertigo. The explanation for this is that the rates of vestibular adaptation exceed that of the stimulus, allowed a reduction or elimination of the symptoms of vertigo. The aim of this study is to recruit individuals who are already getting an MRI scan as part of other research studies to randomize the rate of entry into and exit from the static magnetic field (i.e., before and after imaging is performed). The usual rate of entry is 20 seconds. This will be increased to one, two or three minutes. The investigators will record subjective sensations of dizziness and vertigo associated with the entry into the MRI.

This trial tests a device that helps patients practice head movements to reduce motion sickness and improve balance after certain surgeries. It is aimed at patients who have undergone specific surgeries and experience motion sickness and balance problems. The device guides head movements and monitors for nausea to help patients gradually get used to motion.

The purpose of this study is to develop and validate methods to use hearing aids equipped with embedded sensors and artificial intelligence to assist in the assessment of fall risk and in the implementation of interventions aimed at reducing the risk of falling, as well as to improve speech intelligibility in quiet and in background noise, track physical activity, and social engagement. The investigators hope is that the knowledge that is generated through this study will ultimately translate to the clinical setting and will help reduce the likelihood that individuals experience a fall, and improve the quality of hearing in individuals who wear hearing aids.