Artificial Intelligence-Based Ethical Hacking for Health Information Systems: Simulation Study.

Background: Health information systems (HISs) are continuously targeted by hackers, who aim to bring down critical health infrastructure. This study was motivated by recent attacks on health care organizations that have resulted in the compromise of sensitive data held in HISs. Existing research on cybersecurity in the health care domain places an imbalanced focus on protecting medical devices and data.

A multiple classifier system identifies novel cannabinoid CB2 receptor ligands.

Drugs have become an essential part of our lives due to their ability to improve people's health and quality of life. However, for many diseases, approved drugs are not yet available or existing drugs have undesirable side effects, making the pharmaceutical industry strive to discover new drugs and active compounds. The development of drugs is an expensive process, which typically starts with the detection of candidate molecules (screening) after a protein target has been identified.

Evaluating information security core human error causes (IS-CHEC) technique in public sector and comparison with the private sector.

Background: The number of reported public sector information security incidents has significantly increased recently including 22% related to the UK health sector. Over two thirds of these incidents pertain to human error, but despite this, there are limited published related works researching human error as it affects information security.

Method: This research conducts an empirical case study into the feasibility and implementation of the Information Security Core Human Error Causes (IS-CHEC) technique which is an information security adaptation of Human Error Assessment and Reduction Technique (HEART).