CNBC’s Ran Neuner Says Bitcoin Will End 2018 At $50,000
Ran Neuner, the host of ’s show Cryptotrader and the 28th most influential insider according to , made a Thursday, Feb. 1 claiming that will end 2018 at the price point of $50,000.
The CNBC channel has been increasingly involved in cryptocurrency reporting over the past few months. On Jan. 8, the cable network on how to buy using the exchange as a platform for the purchase. Host demonstrated the entire process live on the channel.
, an issue of CNBC’s Fast Money mentioned both on air and on its social media accounts. The show made a tweet with two charts that showed a decline in bitcoin’s price and an increase in that of bitcoin Cash, adding “bitcoin Cash is here… deal with it!”
aka bitcoin Jesus joins us tomorrow to discuss the biggest change to the crypto world since time was invented! Must see TV.. is here… deal with it!!
— CNBC’s Fast Money (@CNBCFastMoney)
The tweet was met with a mixed response from the cryptocurrency community, some users expressing their disagreement with the network’s message.
shame on you for promoting this bitcoincash/bcash fake scam coin
— Bitcoiner (#) (@CambodiaBitcoin)
As bitcoin reached a multi-month low , Neuner’s latest prediction has similarly resulted in a mixed reaction with one reply sarcastically highlighting the low probability of bitcoin’s price hitting the exact mark of $50,000 on Dec. 31, 2018.
Well, the odds of it being exactly 50.000$ at 23:59 on Dec 31st are actually very slim.
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Startup company has been working with university researchers to create a platform on the blockchain where patients can discuss their medical data with an advanced artificial intelligence “doctor.”
On August 24, doc.ai that their advanced natural language processing technology platform, based on the blockchain, would timestamp datasets and decentralize artificial intelligence. The startup stated that the platform was “envisioned and built” by researchers from Stanford and Cambridge Universities.
The objective of the company is to help healthcare companies improve patient care and experience through an advanced natural dialogue system which will be able to generate insights from combined medical data.
According to the World Health Organization, there is a shortage of seven million healthcare professionals globally, and that number is on the rise. There is increasing pressure on doctors who are faced with meeting the challenging needs of the population and keeping up with the latest developments in healthcare and medicine. Furthermore, the training of healthcare professionals takes years of education and experience. With the help of AI, doc.ai aims to address such challenges while improving the patient care and providing a better healthcare experience.
“We are making it possible for lab tests to converse directly with patients by leveraging advanced artificial intelligence, medical data forensics, and the decentralized blockchain. We envision extensive possibilities for the use of this technology by doctors, patients, and medical institutions,” Walter De Brouwer, founder and chief executive officer of doc.ai, said in a statement.
Deloitte Life Sciences and Healthcare is working with doc.ai to test the company’s Robo-hematology solution, which was developed recently at the Deloitte University in Dallas, Texas.
“doc.ai’s AI-based doctors provide answers to health questions using an AI-powered platform. Platforms like these open new possibilities for patients and medical organizations by providing more personalized, intelligent healthcare. We are excited to collaborate with doc.ai and to be at the forefront of this technology,” said Rajeev Ronanki, Principal of Life Sciences and Health Care at Deloitte Consulting LLP.
The platform operates as a Software as a Service (SaaS), providing service to medical companies, which will allow their patients to have personalized AI-powered conversations about their health around the clock. The conversations are personalized, based on the patient’s health data via a mobile app. The company expects to roll out three natural language processing modules — Robo-genomics, Robo-hematology and Robo-anatomics — for their clients.
Patients can ask the AI questions related to their health, such as “What should be my optimal Ferritin value based on my iron storage deficiency?” or “How can I decrease my cholesterol in the next 3 weeks?” or “Why was my glucose level over 100 and a week later it is at 93?”
According to doc.ai, the artificial intelligence will be able to provide answers for the patients with additional context for each answer. Furthermore, patients can communicate with the “AI-powered robo-doctor” to “achieve better health outcomes” from consultations with the patient’s physician.
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