Ten marijuana brands took home trophies from the inaugural MJBowl, a bi-coastal cannabis competition presented by MJBizCon and social review platform Budist.
From rosin gummies to hash holes: Meet the winners of MJBowl is a post from: MJBizDaily: Financial, Legal & Cannabusiness news for cannabis entrepreneurs
The future of finance isn’t just digital — it’s intelligent.
For years, blockchain has transformed how we build trust in financial systems. But now, artificial intelligence (AI) is adding something blockchain alone couldn’t: judgment.
Together, AI and blockchain lending platforms are creating a world where credit decisions are faster, risk is lower, and finance becomes fairer — powered by data, not paperwork.
At Duredev, we’re building that future through AI-integrated blockchain finance infrastructure — smart lending systems that think, learn, and evolve on-chain.
Traditional credit systems are broken.
They depend on outdated data, slow verification, and biased scoring models.
Borrowers with strong repayment behavior but no formal history — like freelancers, gig workers, or small business owners — are often rejected.
Lenders, on the other hand, struggle to evaluate real-time risk or detect fraud quickly enough.
The result?
Slow approvals, rising defaults, and missed opportunities for millions of borrowers worldwide.
That’s where AI + blockchain step in to rebuild trust — not with paperwork, but with precision.
Think of blockchain as the memory of finance — secure, transparent, and tamper-proof.
And think of AI as its intelligence — the ability to analyze, learn, and make predictions.
Together, they solve the two biggest challenges in lending:
Blockchain records every transaction immutably, while AI interprets that data to make smarter lending decisions.
The result? AI blockchain finance systems that are not only transparent — they’re adaptive and predictive.
Here’s how AI-driven blockchain finance infrastructure works in practice 👇
This synergy creates an ecosystem where every decision is data-backed, verifiable, and lightning fast ⚡
Let’s see what this looks like in action 👇
1. DeFi Lending Platforms
AI monitors liquidity pools and borrower patterns in real time, flagging risky loans automatically. Combined with smart contract lending, this prevents defaults before they happen.
2. NBFC Blockchain Integration
Traditional NBFCs use AI-driven risk control to analyze both blockchain data and traditional metrics — cutting loan processing times from days to minutes.
3. Token-Based Microcredit Systems
AI tracks borrower performance, while blockchain ensures reward distribution through token-based lending systems. Borrowers build trust, lenders gain transparency.
In all cases, Duredev blockchain development ensures the technology runs smoothly — scalable, secure, and compliant.
In the old world of finance, risk management meant reactive measures — audits after losses, reports after defaults.
But in blockchain lending, AI-driven risk control is proactive.
It monitors market volatility, borrower behavior, and on-chain activity 24/7.
It detects red flags before they escalate — and can even auto-adjust collateral ratios via smart contracts.
This isn’t just safer — it’s smarter.
By combining AI blockchain finance tools with on-chain credit scoring, lenders can achieve near-zero fraud rates and instant compliance.
When AI meets blockchain, lending transforms across every level of finance 👇
Speed: Instant decisions powered by automated smart contracts.
Accuracy: AI eliminates human bias and uses data-driven insights.
Transparency: Every transaction and credit event is recorded on-chain.
Security: Immutable blockchain records prevent tampering or manipulation.
Inclusion: Borrowers without traditional credit can prove trustworthiness through on-chain data.
For lenders, it means reduced operational costs and smarter risk modeling.
For borrowers, it means fairer access and faster approvals.
For the entire ecosystem — it means trust without friction.
At Duredev, we bring this synergy to life through AI-integrated blockchain lending platforms.
We design and develop:
Our mission is simple — to help financial innovators launch fintech blockchain solutions that are smarter, faster, and safer.
The next generation of financial systems will do more than just automate — they’ll think.
AI will predict borrower behavior, while blockchain guarantees every outcome.
Decisions will be made in seconds, not days.
Credit scoring will be earned through transparent activity, not paperwork.
In this future, AI blockchain finance becomes the foundation of trust — a global system where everyone has fair, data-driven access to credit.
And at Duredev, we’re already building it. 🚀
The combination of AI and blockchain isn’t just innovation — it’s evolution. Together, they redefine how we see trust, risk, and opportunity in finance.
By integrating AI-driven risk control, on-chain credit scoring, and smart contract lending, financial institutions can move faster and smarter — without sacrificing security.
💼 At Duredev, we help turn that vision into reality — building blockchain finance infrastructure where intelligence meets transparency, and trust meets automation.
🤖 AI Meets Blockchain Lending: Smarter Credit, Lower Risk, and Faster Decisions was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
Have you ever tipped all the stray bits of solder out of your tip cleaner by mistake? [MisterHW] is here with a bit of paraffin wax to save the day.
Hand soldering can be a messy business, especially when you wipe the soldering iron tip on those common brass wool bundles that have largely come to replace moist sponges. The Weller Dry Cleaner (WDC) is one of such holders for brass wool, but the large tray in front of the opening with the brass wool has confused many as to its exact purposes. In short, it’s there so that you can slap the iron against the side to flick contaminants and excess solder off the tip.
Along with catching some of the bits of mostly solder that fly off during cleaning in the brass wool section, quite a lot of debris can be collected this way. Yet as many can attest to, it’s quite easy to flip over brass wool holders and have these bits go flying everywhere.
That’s where [MisterHW]’s pit of particulate holding comes into play, using folded sheet metal and some wax (e.g. paraffin) to create a trap that serves to catch any debris that enters it and smother it in the wax. To reset the trap, simply heat it up with e.g. the iron and you’ll regain a nice fresh surface to capture the next batch of crud.
As the wax is cold when in use, even if you were to tip the holder over, it should not go careening all over your ESD-safe work surface and any parts on it, and the wax can be filtered if needed to remove the particulates. When using leaded solder alloys, this setup also helps to prevent lead-contamination of the area and generally eases clean-up as bumping or tipping a soldering iron stand no longer means weeks, months or years of accumulations scooting off everywhere.
Minnesota’s adult-use cannabis market is facing a logistical hurdle – a shortage of licensed transporters – that has left retailers with empty shelves.
The logistics crisis plaguing the Minnesota marijuana market launch is a post from: MJBizDaily: Financial, Legal & Cannabusiness news for cannabis entrepreneurs
AI browsers introduce reasoning-based risks. Learn how cross-origin AI agents dismantle web security and what defenses are needed.
The post Convenience or Catastrophe? The Dangers of AI Browsers No One is Talking About appeared first on Security Boulevard.
Paulo Vidal, a Dogecoin Foundation developer, has created a new protocol that transforms DOGE addresses into International Bank Account Numbers (IBANs). This development could make it easier to link Dogecoin with conventional financial systems, offering a new level of usability for both crypto enthusiasts and mainstream players. While the protocol is still in its early stages, Vidal has shared updates on its developments and insights into its core features.
Dogecoin could be taking a step closer to mainstream financial integration as Vidal unveils an innovative protocol that allows addresses tied to the meme coin to function like bank-validated IBANs. Announced on X this week, the Dogecoin developer explained that his effort to simplify Dogecoin addresses has evolved into a D-IBAN system fully compliant with ISO 13616-1:2020 Standard.
Vidal has explained that the D-IBAN protocol allows Dogecoin addresses to be formatted in a way that banking systems can easily validate, effectively bridging the gap between cryptocurrency and traditional finance. He explained that the system supports multiple address types, including P2PKH, P2SH, P2WPKH, and time-locked addresses, automatically detecting the type from the address prefix. Additionally, it automatically detects the address type and uses the same MOD-97-10 Checksum algorithm used by banks worldwide.
The Dogecoin developer notes that the D-IBAN encoding is fully reversible, allowing users to convert back and forth without losing any data. The protocol also formats the IBAN into standard four-character groups for readability, making DOGE addresses more user-friendly and appearing bank-compliant.
Beyond the core D-IBAN functionality, Vidal has also introduced playful and practical extensions of the system. The DogeMoji protocol converts addresses into memorable, visually appealing emoji sequences—ideal for social media or QR codes.
The second DogeWords protocol encodes addresses into short, positive word sequences that are easy to read and remember, while maintaining complete reversibility and ensuring accuracy through validation. Both D-IBAN features are designed to make Dogecoin easier to share and interact with in creative ways.
Members of the crypto community who read about Vidal’s new D-IBAN protocol responded with a mix of enthusiasm, curiosity, and caution. Crypto analyst Astro noted that sending fiat to a crypto address via IBAN would require compliance with Anti-Money Laundering (AML) rules, KYC verification, and potentially obtaining a Virtual Asset Service Provider (VASP) license.
Astro warned that integration with traditional banks could undermine the decentralized narrative of blockchain technology, contending that banks and crypto have inherently conflicting interests. A community member also highlighted that creating a mathematically valid IBAN from a Dogecoin address does not guarantee that banks will process actual transactions. He stated that only IBANs issued by authorized institutions are recognized for fund transfers.
Vidal addressed these concerns by emphasizing that the D-IBAN protocol is intended to provide optional banking integration rather than enforce it. He argued that banks could handle Dogecoin in a familiar format while users retain full control of their wallets, preserving self-custody and upholding the core principles of decentralization.
Interview transcript:
Terry Gerton I know you have studied how workers of different skill levels choose to use generative AI and the concept of AI exposure. Can you talk to us a little bit about what you’re finding there? Are there certain roles more likely to embrace AI, or certain roles that are more likely to be replaced?
Ramayya Krishnan AI exposure, to understand that, I think we have to think about how occupations are structured. So the Bureau of Labor Statistics has something, a taxonomy called O*NET. And O*NET describes all the occupations in the U.S. economy, there are 873 or so. And each of those occupations is viewed as consisting of tasks and tasks requiring certain sets of skills. AI exposure is a measure of how many of those tasks are potentially doable by AI. And thereby that becomes, then, a measure of ways in which AI could have an impact on people who are in that particular occupation. So, however, AI exposure should not be assumed to mean that that’s tantamount to AI substitution, because I think we should be thinking about how AI is deployed. And so there are capabilities that AI has. For instance, this conversation that we’re having could be automatically transcribed by AI. This this conversation we are having could be automatically translated from English to Spanish by AI, for instance. Those are capabilities, right? So when you take capabilities and actually deploy them in organizational contexts, the question of how it’s deployed will determine whether AI is going to augment the human worker, or is it going to automate and replace a particular task that a human worker does? Remember, this happens at the task level, not at the occupation level. So some tasks within an occupation may get modified or adapted. So if you look at how software developers today use co-pilots to build software, that’s augmentation, where it’s been demonstrated that software developers with lower skills usually get between 20% to 25% productivity improvement. Call center employees, again, a similar type of augmentation is happening. In other cases, you could imagine, for instance, if you were my physician and I was speaking to you, today we have things called ambient AIs that will automatically transcribe the conversation that I’m having with you, the physician. That’s an example of an AI that could potentially substitute for a human transcriber. So I gave you two examples: software developer and customer service where you’re seeing augmentation; the transcription task, I’m giving you an example of substitution. So depending on how AI is deployed, you might have some tasks being augmented, some being substituted. When you take a step back, you have to take AI exposure as a measure of capability and then ask the question, how does that then get deployed? Which then has impact on how workers are going to actually have to think about, what does this then mean for them? And if it’s complementing, how do they become fluent in AI and be able to use AI well? And if there’s a particular task where it’s being used in a substitutive manner, what does that then mean longer term for them, in terms of having to acquire new skills to maybe transition to other occupations where there might be even more demand? So I think it’s we have to unpack what AI exposure then means for workers by thinking about augmentation versus automation.
Terry Gerton There’s a lot of nuance in that. And your writings also make the point that Gen AI adoption narrows when the cost of failure is high. So how do organizations think both about augmentation versus replacement and the risk of failure as they deploy AI?
Ramayya Krishnan If you take the example of using AI in an automated fashion, its error rate has to be so low because you don’t have human oversight. And therefore, if the error rates are not sufficiently appropriate, then you need to pair the human with the AI. In some cases you might say the AI is just not ready. So we’re not going to use the AI at all. We’ll just keep human as is. In other cases, if AI can be used with the human, where there is benefits to productivity but the error rates are such you still need the human to ensure and sign off, either because the error rates are high or from an ethical standpoint or from a governance standpoint, you need the human in the loop to sign off, you’re going to see complementing the human with the AI. And then there are going to be tasks for which the AI quality is so high, that its error rates are so low, that you could actually deploy it. So when we talk about the cost of failure, you want to think about consequential tasks where failure is not an option. And so either the error rates have to be really low, and therefore I can deploy the AI in an automated fashion, or you have to ensure there is a human in the loop. And this is why I think AI measurement and evaluation prior to deployment is so essential because things like error rates, costs, all of these have to be measured and inform the decisions to deploy AI and deploy AI in what fashion? Is it in augmentation fashion or not, or is it going to be used independently?
Terry Gerton I’m speaking with Dr. Ramayya Krishnan. He’s the director of the Center for AI Measurement Science and Engineering at Carnegie Mellon University. So we’re talking there about how AI gets deployed in different organizations. How do you see this applying in the public sector? Are there certain kinds of government work where AI is more suitable for augmentation versus automation and that error rate then becomes a really important consideration?
Ramayya Krishnan I think there are going to be a number of opportunities for AI to be deployed. So you remember we talked about call centers and customer service types of centers. I mean, public sector, one aspect of what they do is they engage with citizens in a variety of ways, where they have to deliver and provide good information. Some of those are time sensitive and very consequential, like 911 emergency calls. Now, there you absolutely want the human in the loop because we want to make sure that those are dealt with in a way that we believe we need humans in the loop, which could be augmented by AI, but you know, you want humans in the loop. On the other hand, you could imagine questions about, you know, what kind of permit or what kind of form, you know, administrative kinds of questions, where there’s triage, if you will, of having better response time to those kinds of questions. The alternative to calling and speaking to somebody might be just like you could go to a website and look it up. Imagine a question-answering system that actually allows for you to ask and get these questions answered. I expect that, and in fact you’re already seeing this in local government and in state government, the deployment of these kinds of administrative kinds of question-answering systems. I’d say that’s one example. Within the organizations, there is the use of AI, not customer-facing or citizen-facing, but within the organizations, the use of these kinds of co-pilots that are being used within the organization to try and improve productivity. I think as AI gets more robust and more reliable, I expect that you will see greater use of AI in both trying to improve efficiency and effectiveness, but to do so in a responsible way, in such a way that you take into account the importance of providing service to citizens of all different abilities. One of the important things with the public sector is … maybe there’s multilingual support that is needed, you might need to help citizens who are disabled. How might we support different kinds of citizens with different ability levels? I think these are things where AI could potentially play an important role.
Terry Gerton AI is certainly already having a disruptive impact on the American workforce, particularly. What recommendations do you have for policymakers and employers to mitigate the disruption and think long-term about upskilling and reskilling so that folks can be successful in this new space?
Ramayya Krishnan I think this is actually one of the most important questions that we need to address. And you know, I served on the National AI Advisory Committee to the President and the White House Office of AI Initiatives, and this was very much a key question that was addressed by colleagues. And I think a recent op-ed that we have written with Patrick Harker at the University of Pennsylvania and Mark Hagerott at the University of South Dakota, really we make the case that this is an inflection point which requires a response pretty much on the scale of what President Lincoln did in 1862 with the Morrill Act in establishing land grant universities. Much like land grant universities were designed to democratize access to agricultural technology, really it enabled Americans from everywhere in the nation to harness this technology for economic prosperity both for themselves and for the nation. I think if you’re going to see AI be deployed and not have the kind of inequality that might arise from people having access to the technology and not having access to the technology, we need something like this. And we call this the Digital Land Grant Initiative that would connect our universities, the community colleges, with various ways of providing citizens, both in rural areas and urban areas, everywhere in the country, access to AI education and skilling appropriate to their context. So if I’m a farmer, how can I do precision agriculture? If I’m a mine worker, or if I’m somebody who wants to work in in banking — from the whole range of occupations and professions, you could imagine AI having a transformative effect on these different occupations. And there may be new occupations that are going to emerge that you and I are not thinking about right now. So, how do we best position our citizens so that they can equip themselves with the right sets of skills that are going to be required and demanded? I think that’s the big public policy question with regard to workforce upskilling and reskilling.
The post Gen AI adoption is reshaping roles and raising tough questions about workforce strategy first appeared on Federal News Network.
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A new criminal platform called “Matrix Push C2” is using browser notifications to launch social engineering attacks, according to researchers at BlackFog.
In a deal that reflects cannabis industry excitement over Virginia, Curaleaf announced plans to enter the market with a $110 million purchase.
Curaleaf to enter Virginia marijuana market with purchase of competitor is a post from: MJBizDaily: Financial, Legal & Cannabusiness news for cannabis entrepreneurs
Ever wonder what happens to those digital price tags you see in stores once they run out of juice? In what is a prime example of e-waste, many of those digital price tags are made with non-replaceable batteries, so once their life is over they are discarded. Seeing an opportunity to breathe new life into these displays, [Tylercrumpton] went about converting them to be the official badge of the Phreaknic 26 conference.
Looking for a solution for a cheap display for the upcoming conference badge, [Tylercrumpton] recalled seeing the work [Aaron Christophel] did with reusing electronic shelf labels. Looking on eBay, he picked up a lot of 100 ZBD 55c-RB labels for just $0.70 a piece. When they arrived, he got to work liberating the displays from their plastic cases. The long-dead batteries in the devices ended up being easily removed, leaving behind just the display and the PCB that drives it.
Another hacker assisting with the badge project, [Mog], noticed that the spacing of the programming pads on the PCB was very close to the spacing of a DB9/DE9 cable. This gave way to a very clever hack for programming the badges: putting pogo pins into a female connector. The other end of the cable was connected to a TI CC Debugger which was used to program the firmware on the displays. But along the way, even this part of the project got an upgrade with moving to an ESP32 for flashing firmware, allowing for firmware updates without a host computer.
The next challenge was how to handle customizing 200 unique badges for the conference. For this, each badge had a unique QR code embedded in the back of the 3D printed case that pointed to an online customization tool. The tool allowed the user to change which of the images was used for the background, as well as input the name they wanted to be displayed on the badge. Once finished, the server would provide a patched firmware image suitable for flashing the badge. The original intent was to have stations where attendees could plug in their badge and it would update itself; however, due to some 11th hour hiccups, that didn’t pan out for this conference. Instead, [Tylercrumpton] ran the update script on his machine, and it gave him a great opportunity to interact with conference attendees as they stopped by to update their badges.
For the Phreaknic 27 badge, the plan is to once again use electronic shelf labels, but this time to utilize some of the advanced features of the tags such as the EEPROM and wireless communications. We’re eager to see what the team comes up with.
Virginia adult-use marijuana sales could begin as soon as November 2026 under a regulatory bill to be proposed this week.
Virginia adult-use cannabis sales could begin November 2026 is a post from: MJBizDaily: Financial, Legal & Cannabusiness news for cannabis entrepreneurs
Marijuana multistate operators are among the 12 companies selected to enter the rapidly expanding Texas medical cannabis marekt.
Marijuana MSOs enter Texas as medical cannabis market rapidly expands is a post from: MJBizDaily: Financial, Legal & Cannabusiness news for cannabis entrepreneurs
The British government is weighing plans to ban cryptocurrency donations to political parties, a development that could hit Nigel Farage’s Reform UK just months after it became the first party in the country to accept digital assets.
The proposal, now under active discussion inside Whitehall, is being considered as part of the forthcoming Elections Bill, according to multiple people familiar with the talks.
Although the government did not confirm the plan outright, it said more details would be set out when the bill is published.
The possibility of a prohibition comes as Reform UK continues to position itself as the most crypto-friendly political force in the country.
Earlier this year, Farage opened the door to digital asset contributions and launched a dedicated donations portal.
He has described the move as part of a broader “crypto revolution” in Britain and has repeatedly told industry audiences that he is the “only hope” for UK crypto businesses.
In October, he told Reuters the party had already received “a couple” of crypto donations after notifying the Electoral Commission, showing the first time such a contribution had ever been recorded in British politics.
For now, the value of those donations has not been disclosed. The debate over crypto political financing has also grown more intense as Reform surges in national polls and the Labour government faces mounting questions about foreign interference.
Transparency experts have warned that digital assets, while publicly traceable on-chain, can mask the true origin of funds when moved through multiple wallets.
Tom Keatinge, director at RUSI, noted that crypto transfers allow money to cross borders into the UK “much easier” than through traditional banking, raising concerns about illicit financing, especially under a system that already bans foreign political donations in almost all circumstances.
Calls for stricter oversight have come from multiple quarters, including former Cabinet Office Minister Pat McFadden, Business Select Committee Chair Liam Byrne, and Phil Brickell, chair of the All-Party Parliamentary Group on Anti-Corruption and Fair Tax.
— Cryptonews.com (@cryptonews) July 18, 2025
Lawmakers have argued that existing regulations are insufficient to prevent misuse of cryptocurrency in political donations, noting the potential for anonymity and the difficulty in tracing the original source of funds.
Their warnings have been amplified by recent national security concerns, particularly after former Reform Wales leader Nathan Gill was jailed for more than ten years for accepting payments to make pro-Russian statements while serving as an MEP.
Farage has distanced himself from Gill, calling him a “bad apple,” but the case has intensified calls for tougher rules on political funding.
The Ministry of Housing, Communities and Local Government, responsible for the Elections Bill, stated that the political finance system inherited by the U.K. had left democracy vulnerable to foreign influence.
Officials emphasized that new rules, including those potentially targeting crypto donations, would aim to protect electoral integrity while allowing parties to fund their campaigns responsibly.
The Elections Bill is expected to include new requirements for parties and donors, including restrictions on shell-company contributions and mandatory risk assessments for donations that could expose campaigns to foreign interference.
The UK’s caution stands in sharp contrast to the United States, where digital asset donations have become a major force in federal elections.
American crypto-backed PACs poured more than $190 million into the 2024 cycle, aided by clear reporting rules under the Federal Election Commission.
— Cryptonews.com (@cryptonews) July 15, 2025
In Britain, crypto’s political footprint remains minimal. No major party mentioned digital assets in its manifesto during the 2024 general election, and the total number of reported crypto donations remains close to zero.
The post UK Eyes Crypto Political Donation Ban, Threatening Farage’s Reform War Chest appeared first on Cryptonews.
Delphinus Engineering Inc., based in Newtown, Pennsylvania, has been awarded a $14.5 million contract to develop, fabricate, produce, integrate, and test a new sonar array and lift system for Canada’s Victoria-class submarines. According to a Department of War contract announcement, the award includes Foreign Military Sales (FMS) funds fully allocated to Canada and may grow […]What to do and where to go at MJBizCon 2025? The answer may depend on your role in the cannabis industry.
What MJBizCon 2025 sessions should you attend? is a post from: MJBizDaily: Financial, Legal & Cannabusiness news for cannabis entrepreneurs
The pathway to acquiring Bitcoin and other cryptocurrencies has often been perceived as complex, involving multiple steps. However, a monumental shift is now underway as Apple Pay has integrated into leading crypto platforms, and getting a major upgrade is becoming as seamless and intuitive as any other digital transaction. This integration removes one of the biggest barriers to entry by replacing traditional transactions.
Apple Pay is now directly integrated with Bitcoin and other cryptocurrencies. A crypto site, CryptosRus, has revealed on X that Apple users can now purchase BTC and other cryptocurrencies directly within Trust Wallet using Apple Pay. This integration will make buying crypto as easy as buying Apps from the App Store, dramatically lowering friction for newcomers with no more clunky bank transfers, complex onboarding forms, and steep learning curves.
With a few simple taps via Apple Pay, the crypto will be in your Trust Wallet. In short, Apple is helping to replace fear and friction with just tap-and-own simplicity. This Apple Pay and crypto is the kind that will seamlessly onramp.
Bitcoin and crypto adoption are sharply gaining traction globally. In a surprising turn for one of the world’s most tightly controlled economies, Turkmenistan has officially legalized Bitcoin and broader cryptocurrency trading. CryptosRus stated that President Serdar Berdimuhamedov has signed a new Sweeping bill that sets the stage for a fully regulated crypto market to begin in 2026.
The new law establishes a dedicated state Commission that will oversee licensing, Know Your Customer (KYC) and Anti-Money Laundering (AML) protocols, cold-storage rules, mining registration, and even the power to halt or require refunds for token issuances. According to CryptoRus, this is a sign that even the most controlled states are being pushed into crypto adoption as the global regulation accelerates.
An author and ideologist, Shanaka Anslem Perera, pointed out that the day $13.4 billion in Bitcoin options expired, the traditional financial system nearly collapsed. At the crucial hour of 03:00 GMT, the Chicago Mercantile Exchange (CME) froze, a cooling failure originating from a single data center. The failure led to 90% of global derivatives trading being halted.
Meanwhile, a larger sum of $15 billion in crypto options was settled on time, with each block confirmed and every trade seamlessly executed. The machines that price the world stopped working because they were overheated, and the decentralized alternative rails ran exactly as designed. “This isn’t a coincidence, it’s a stress test, and only one system passed the test,” Shanaka noted.
Google and Amazon are particularly good at selling the smart home vision, but these platforms have some big drawbacks, too. Consider switching to or starting out with a more capable and reliable alternative, which will save you money and frustration in the long run.
Surgery is hard, there is a reason why school is so long for the profession. Making the job easier and smoother for both patients and surgeons is valuable for all parties, which is why [Mayo Clinic] is now working on including 3D printing into its more regular medicine pipeline.
Prepping for surgery often requires examining CT scans of patients to figure out, well, what they’re even going to be doing. Every body is different, and complex surgical procedures require checking to see where certain organs or features are located. This can be made much easier with a physical model of where the bones, organs, or nerves are specifically located in a patient. While this isn’t true in every case of treatment, there are even cancerous cases where custom equipment can be used to decrease side effects, such as mini-beam collimator adapters.
What if you could use the same pipeline to print what was lost from certain procedures? In a mastectomy, the breast tissue is removed, which can cause negative attention from curious gazes. So why not 3D print a custom breast? Cases like these are generally considered poor commercial investments from industry, but are relatively easy for an existing medical facility to add to treatment.
[Mayo Clinic] is far from the first to consider 3D printing in the medical setting, but seeing the technology see actual applied use rather than future seeking is exciting. Medical hacking is always exciting, and if you want to see more examples, keep sure to check out this commercially available simulator (with some free models).
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