AMBLER SURGICAL CORP. 9538E Ambler Surgical

Fertility lubricant, 40 gram tube with flip top cap, no applicators

ARYS me is intended for over-the-counter use for self-directed management of arm rehabilitation without specific treatment or treatment recommendations.

FeetMe Evaluation mobileAndroid application version 3.Y.Z.

Tempus ECG-AF is a cardiovascular machine learning-based notification software intended to analyze recordings of 12-lead ECG devices from patients 65 years of age and older. The software employs machine learning techniques to analyze ECG recordings and detect signs associated with a patient experiencing atrial fibrillation and/or atrial flutter (collectively referred to as AF) within the next 12 months. The device is designed to extract otherwise unavailable information from ECGs conducted under the standard of care, to help health care providers better identify patients who may be at risk for undiagnosed AF in order to evaluate them for referral of further diagnostic follow up and address the unmet need of reducing the number of undiagnosed AF patients.

The Alcon LenSx laser uses a high-repetition rate femtosecond laser source for precise and customizable incisions for cataract refractive procedures.

Looking to sell brand new Endoscope Guide devices by Olympus. They were purchased in 04/2018 for $17,900 and never opened. ScopeGuide UPD-3 is an exclusive Olympus technology designed to provide a real-time 3D image of the shape and position of the endoscope inside the body.

Tinted Pearlescent Powder

K-WIRE TROCAR POINT BOTH ENDS .062 X 4

ConnectWeb viewer front-end with PACSCore back-end archive

Fertility lubricant, 40 gram tube with flip top cap, no applicators

ARYS me is intended for over-the-counter use for self-directed management of arm rehabilitation without specific treatment or treatment recommendations.

FeetMe Evaluation mobileAndroid application version 3.Y.Z.

Tempus ECG-AF is a cardiovascular machine learning-based notification software intended to analyze recordings of 12-lead ECG devices from patients 65 years of age and older. The software employs machine learning techniques to analyze ECG recordings and detect signs associated with a patient experiencing atrial fibrillation and/or atrial flutter (collectively referred to as AF) within the next 12 months. The device is designed to extract otherwise unavailable information from ECGs conducted under the standard of care, to help health care providers better identify patients who may be at risk for undiagnosed AF in order to evaluate them for referral of further diagnostic follow up and address the unmet need of reducing the number of undiagnosed AF patients.