Revisiting peri-implant diseases in order to rethink the future of compromised dental implants: Considerations, perspectives, treatment, and prognosis.

Once present, peri-implantitis is difficult to fully eliminate. Surgical interventions show some promising results in fighting the disease, but for the time being, prevention remains the strongest tool.

Thermosensitive chitosan-based hydrogel: A vehicle for overcoming the limitations of nose-to-brain cell therapy.

Cell therapy is a promising strategy for treating neurological pathologies but requires invasive methods to bypass the blood-brain barrier restrictions. The nose-to-brain route has been presented as a direct and less invasive alternative to access the brain. The primary limitations of this route are low retention in the olfactory epithelium and poor cell survival in the harsh conditions of the nasal cavity.

Real-Time Tool Localization for Laparoscopic Surgery Using Convolutional Neural Network.

Partially automated robotic systems, such as camera holders, represent a pivotal step towards enhancing efficiency and precision in surgical procedures. Therefore, this paper introduces an approach for real-time tool localization in laparoscopy surgery using convolutional neural networks. The proposed model, based on two Hourglass modules in series, can localize up to two surgical tools simultaneously.

Machine Learning-Based Prediction of Cattle Activity Using Sensor-Based Data.

Livestock monitoring is a task traditionally carried out through direct observation by experienced caretakers. By analyzing its behavior, it is possible to predict to a certain degree events that require human action, such as calving. However, this continuous monitoring is in many cases not feasible.