CUE1®
August 1, 2023Finland
September 1, 20232014 – 2015
Artificial intelligence is advancing by leaps and bounds, hand in hand with robotics and its subdivisions, nanorobotics, and conversational bots, to propose real solutions for the diagnosis and treatment of diseases...
Nanobots: The future is here.
Today’s healthcare business is concentrating on developing minimally invasive diagnostic techniques. Nanorobotics, which combines the latest nanomaterial science and robotics technology with biological knowledge, is the most promising breakthrough in this subject.
Building nanobots can be done in one of two ways. One focuses on molecular assembly, which entails building the nanobot piece by piece from fundamental molecules. The alternative strategy, which we’ll call “top-down,” involves taking existing technologies like Micro Electro Mechanical Systems (MEMS) and scaling them down to the nanoscale.(1)
Cancer treatment is, most likely, the primary motivation for creating nanorobotics. Chemotherapy causes benign and malignant tissue injury, but nanorobotics can transform that. Primary nanobots attack the target tissue. On the other hand, the tumor, not any other tissue in the body, is inflamed. For this reason, a second wave of bots is dispatched to attack the inflamed tissue. The actual chemotherapeutic medication is contained in this wave of bots. It discharges its payload, resulting in a highly focused targeted action with no collateral damage.(1)
Pharmabot: a pediatric consultation chatbot.
Chatbots are now a reality, with many commercial applications, as data mining and machine learning techniques have improved, decision-making skills, corpora availability, and robust linguistic annotations/processing tools standards like XML and its applications.(2)
Pharmabot is a conversational chatbot that prescribes, recommends, and provides information on generic children’s drugs. The research introduces a computer program that simulates a medicine consultant for patients or parents unsure about generic medications. To arrive at the desired outcome, the researchers used Left and Right Parsing Algorithms.(2)
Pharmabot: a pediatric consultation chatbot.
Chatbots are now a reality, with many commercial applications, as data mining and machine learning techniques have improved, decision-making skills, corpora availability, and robust linguistic annotations/processing tools standards like XML and its applications.(2)
Pharmabot is a conversational chatbot that prescribes, recommends, and provides information on generic children’s drugs. The research introduces a computer program that simulates a medicine consultant for patients or parents unsure about generic medications. To arrive at the desired outcome, the researchers used Left and Right Parsing Algorithms.(2)
According to the data collected, processed, and computed, some researchers mention that there is no substantial difference between expert and Pharmabot evaluations but that using this technology saves users a lot of time and money.