AI applications in healthcare, such as diagnostics and treatment optimization, bring significant benefits but also raise ethical concerns, such as data breaches, biased algorithms, transparency, and patient consent. To ensure patient trust and safety, solutions such as data encryption, diverse algorithm training, and ongoing monitoring are needed. A collaborative approach involving diverse perspectives and stakeholders, including ethicists, healthcare professionals, and patient advocacy groups, is key to developing ethical, user-centric AI systems.
New Malware Loaders Use Call Stack Spoofing, GitHub C2, and .NET Reactor for Stealth
An updated version of a malware loader, known as Hijack Loader, has been discovered with new features aimed at evading detection and maintaining persistence. The
