March 25, 2026

Capitalizations Index – B ∞/21M

Goodbye Mining! Why I Dumped my Rigs for CloakCoin’s Anonymous Staking

Goodbye mining! Why i dumped my rigs for cloakcoin's anonymous staking

Goodbye Mining! Why I Dumped my Rigs for CloakCoin’s Anonymous Staking

Goodbye mining! Why i dumped my rigs for cloakcoin's anonymous stakingHow’s it going crypto heads and anonymity buffs!
As promised, today we’ll be diving in a bit deeper with CloakCoin (CLOAK) to look at their staking network anonymity features.

To kick things off, we’ll be checking out a transaction from their desktop client to the mobile wallet, clocking in with blazing fast sub-one minute processing time. Once we get an idea for that network speed, we’ll be breaking things down a bit for the newcomers with a quick lesson on proof of work mining, along with how the proof of stake network functions plus its advantages.

While the staking network is undoubtedly a big draw for user’s to join the CloakCoin ecosystem, the other major card in their hand is the unparalleled privacy and anonymity implementations. Using a system similar to the TOR network’s onion routing, the CLOAK project’s “Enigma” adds another layer of security intra-network via its staking community.

Hopefully, this gives everyone a bit more insight on why I feel so strongly about the future of CLOAK coin.

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The Next Doctor You Consult Could Be a Robot: Healthcare Meets AI and the Blockchain

The Next Doctor You Consult Could Be a Robot

Startup company doc.ai 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 announced 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.

The post The Next Doctor You Consult Could Be a Robot: Healthcare Meets AI and the Blockchain appeared first on Bitcoin Magazine.

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