State-of-the-art and future perspectives in ingestible remotely controlled smart capsules for drug delivery: A GENEGUT review.

An emerging concern globally, particularly in developed countries, is the rising prevalence of Inflammatory Bowel Disease (IBD), such as Crohn's disease. Oral delivery technologies that can release the active therapeutic cargo specifically at selected sites of inflammation offer great promise to maximise treatment outcomes and minimise off-target effects. Therapeutic strategies for IBD have expanded in recent years, with an increasing focus on biologic and nucleic acid-based therapies.

Impact of Frailty on Healthcare Outcomes after Cardioembolic Ischaemic Stroke Due to Atrial Fibrillation.

Stroke due to atrial fibrillation (AF) is more common in older adults. Frailty is associated with AF. As little is known about the impact of frailty on cardioembolic stroke, we examined its association with important healthcare outcomes including mortality and functional outcome in stroke with AF.

Risk factors of multiple pulmonary emboli in an elite Ironman triathlete: a case report.

Objective: To present a unique case of pulmonary embolism (PE) in an elite-Ironman triathlete and review athlete-specific risk factors associated with venous thromboembolism (VTE).

Case Presentation: A 57-year-old male triathlete presented for chiropractic care of midback pain and dyspnea one day before competition. During competition, he was removed and unable to complete the event with dyspnea, chest, and midback pain.

Evaluation of a Machine Learning Algorithm to Classify Ultrasonic Transducer Misalignment and Deployment Using TinyML.

The challenge for ultrasonic (US) power transfer systems, in implanted/wearable medical devices, is to determine when misalignment occurs (e.g., due to body motion) and apply directional correction accordingly.

Machine learning based canine posture estimation using inertial data.

The aim of this study was to design a new canine posture estimation system specifically for working dogs. The system was composed of Inertial Measurement Units (IMUs) that are commercially available, and a supervised learning algorithm which was developed for different behaviours. Three IMUs, each containing a 3-axis accelerometer, gyroscope, and magnetometer, were attached to the dogs' chest, back, and neck.