Medicine is one of the most promising fields where AI is already delivering remarkable results — in radiology, for instance, or during patient intake. At the same time, medicine is a quantitative science built on protocols and strict, evidence-backed rules. So the temptation to train AI to think like a doctor — and eventually replace one is understandable. But how feasible is that?
New regulations governing the conduct of clinical trials in the UK come into effect today. This marks the largest package of changes in this sector in over two decades. Thanks to simplified procedures for lower-risk trials and the introduction of fast-track assessment routes, the preparation time for medical tests has already been reduced to 122 days. Furthermore, the publication of trial results becomes a strict legal requirement for the first time.
Imagine a fleet of microscopic machines cruising through your body, vacuuming up dangerous bacteria, and then dropping them off at a designated location on demand. This is no longer a sci-fi movie scenario. Researchers have just unveiled ultra-fast, light-driven nanorobots that could revolutionize medicine and the way we deliver drugs.
Canadian police have dismantled a criminal ring that used “SMS blaster” devices to carry out a massive attack on smartphone users in downtown Toronto. Machines hidden in the trunks of cars driving through the streets spoofed cell tower base stations, leading to 13 million communication disruptions. Tens of thousands of infected phones were cut off from legitimate networks, leaving victims unable to even call emergency services.