A systematic review on artificial intelligence approaches for smart health devices.

In the context of smart health, the use of wearable Internet of Things (IoT) devices is becoming increasingly popular to monitor and manage patients' health conditions in a more efficient and personalized way. However, choosing the most suitable artificial intelligence (AI) methodology to analyze the data collected by these devices is crucial to ensure the reliability and effectiveness of smart healthcare applications. Additionally, protecting the privacy and security of health data is an area of growing concern, given the sensitivity and personal nature of such information.

Human Serum Albumin Nanoparticles as a Carrier for On-Demand Sorafenib Delivery.

Background: Drug delivery systems based on Human Serum Albumin (HSA) have been widely investigated due to their capability to interact with several molecules together with their nontoxicity, non-immunogenicity and biocompatibility. Sorafenib (SOR) is a kinase inhibitor used as the firstline treatment in hepatic cancer. However, because of its several intrinsic drawbacks (low solubility and bioavailability), there is a growing need for discovering new carriers able to overcome the current limitations.