
AI breakthrough allows doctors to 'see' dangerous blood clots forming
AI technology could be used to detect potentially deadly blood clots before they strike.
That's according to scientists at the University of Tokyo, who say they have created a non-invasive way to observe clotting activity in blood as it occurs.
The new artificial intelligence tool uses a powerful microscope to monitor platelets in real time, the researchers shared in a press release from the university.
Platelets, which are tiny blood cells that help form clots to stop bleeding, play a "crucial role" in heart disease, particularly coronary artery disease, according to Dr. Kazutoshi Hirose, lead author of the study.
If the platelet count is too high, it can increase the risk of blood clots.
To prevent dangerous clots, patients with coronary artery disease are usually treated with anti-platelet drugs.
"However, it's still challenging to accurately evaluate how well these drugs are working in each individual, which makes monitoring platelet activity an important goal for both doctors and researchers," Hirose said in the press release.
Traditional methods of monitoring platelet activity often rely on indirect measurements or invasive procedures.
With the AI tool, a high-powered microscope works like a "super-high-speed camera that takes sharp pictures of blood cells in flow," said Yuqi Zhou, assistant professor of chemistry at the University of Tokyo, in the release.
"Just like traffic cameras capture every car on the road, our microscope captures thousands of images of blood cells in motion every second," he said. "We then use artificial intelligence to analyze those images."
The AI can distinguish between a single platelet ("like one car"), a clump of platelets ("like a traffic jam"), or even a white blood cell tagging along ("like a police car caught in the jam"), Zhou described.
"Right now, doctors often give blood-thinning drugs and hope they are working. With this method, they could actually see if the treatment is working."
"This technology stands out because it allows doctors to directly observe platelets in the bloodstream and measure how they interact and form clumps in real time," said Keisuke Goda, a professor at The University of Tokyo's chemistry department, in the release.
"Our studies have shown it to be highly effective in patients with coronary artery disease, the most common cause of heart attacks and one of the leading causes of death in the U.S. and the world," he added.
When the researchers tested the technique on over 200 patients, they found that people with more serious heart problems had more clumping in their blood.
A blood sample taken from a patient's arm and tested with the tool resulted in nearly the same results as blood taken directly from the heart's arteries, they noted.
Harvey Castro, a Texas-based emergency physician and AI expert, described the implications as significant for patient care.
"Today, we rely on indirect lab markers or invasive cath-lab blood draws to judge clot risk," Castro, who was not involved in the study, told Fox News Digital.
"This technology turns an ordinary venous draw into live telemetry of platelet behavior, giving answers in seconds rather than hours."
These advancements have the potential to change the standard of care for patients with coronary heart disease, according to the researchers.
"Typically, if doctors want to understand what's happening in the arteries, especially the coronary arteries, they need to do invasive procedures, like inserting a catheter through the wrist or groin to collect blood," said Hirose.
"What we found is that just taking a regular blood sample from a vein in the arm can still provide meaningful information about platelet activity in the arteries."
For more Health articles, visit www.foxnews.com/health
Goda agreed that the tool could enable safer, more personalized treatments for heart disease patients.
"Right now, doctors often give blood-thinning drugs and hope they are working," he said. "With this method, they could actually see if the treatment is working in each patient."
Castro cautioned that the technology is not yet ready for widespread use.
"The microscope is cutting-edge research gear, not yet a bedside device," he told Fox News Digital. "We need miniaturization and cost drops before every ER can use it."
Looking ahead, after further research, Castro envisions that this innovation could change point-of-care decision-making for patients.
"Five years from now, I can imagine a point-of-care analyzer that lets me adjust antiplatelet drugs and how I titrate oxygen quickly and safely for the patient in front of me," he said.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


CNN
15 minutes ago
- CNN
Japan-based company is poised for its moon-landing attempt
Update: Date: Title: Ispace's CEO is "very confident" success is on the way Content: Takeshi Hakamada, who founded Ispace in 2010 and serves as the company's CEO, told CNN last month that he is far more optimistic about today's landing attempt than he was going into Ispace's first landing attempt in 2023. 'I'm very confident, more confident than (during) Mission 1,' Hakamada told CNN in May. Hakamada added that he's not a very emotional person, so cold feet and sleepless nights aren't necessarily part of his pre-landing routine. 'I'm not the person emotion so much. I don't feel any peace or joy sometimes — most of the times,' Hakamada, who says he was inspired to puruse an aerospace career by the 'Star Wars' movies, told CNN. 'The importance of this space business is keep going.' Update: Date: Title: Reslience is carrying science — and art Content: Tucked alongside a molecule-splitting science experiment and radiation monitor, Resilience is carrying a couple lighthearted pieces of commemorative art. One includes commemorative coin-sized plates designed by UNESCO and US-based Barrelhand that will 'transport and safeguard 275 distinct languages and cultural treasures on the lunar surface.' Another is from Swedish artist Mikael Genberg, who contributed a miniature red house dubbed the 'Moonhouse.' Genberg has been aiming to put a red house on the lunar surface for more than two decades. 'They wanted to send something to the moon, so there was a good coincidence,' Ispace chief financial officer Jumpei Nozaki told CNN in January, noting that Ispace's European branch in Luxembourg found out about the art piece and worked to put it on the Resilience lander. The pieces may join a slew of other novelties, art pieces and curiosities that have been part of past lunar missions. A Jeff Koons sculpture series called 'Moon Phases,' for example, flew on the Odysseus lunar lander from Houston-based Intuitive Machines last year, becoming the first 'authorized' work of art on the moon. The Moonhouse on board Resilience aims to be an 'expression of humanity's ability to achieve the seemingly unattainable through boundary-crossing thoughts and collaborations and maybe a symbol of humanity's eternal and collective striving; a perspective on existence and (an) eye towards Earth,' according to a web page about the art project. Update: Date: Title: Here's how (another) failed landing attempt could affect Ispace Content: Ispace's roots began in the Google Lunar XPrize, which in the 2010s challenged the private-sector to put robotic landers on the moon for a $20 million grand prize. The compeititon ended in 2018, however, with no winner. 'That was very good program for me to start things here,' Ispace CEO and founder Takeshi Hakamada told CNN in May. 'We survived the Lunar XPrize and and then that created credibility for the next fundraising (effort).' After the competition folded, Ispace kept going, bringing on new investors. And just before its first lunar landing attempt in 2023, the company went public, listing on Tokyo's stock exchange. When Ispace's first landing attempt failed in 2023, crashing to the moon due to a software issue, the company's stock price shed more than half its value. And Ispace could face some significant financial struggles if today's landing attempt is unsuccessful, Ispace chief financial officer Jumpei Nozaki told CNN in January. 'If we do not successfully land on the moon, maybe there are going to be some very strong headwinds against us. It will be reflected to our share price immediately,' Nozaki said. Still, Nozaki added, the company raised money last year around the world, including from one US investor, that should keep the company funded through a third lunar landing attempt. Update: Date: Title: Resilience is aiming to land farther north than other recent missions Content: We're in the midst of renewed space race, with both the public and private sector eager to send robots to further explore the lunar surface. The modern moon dash was largely kicked off by China, which safely landed its first Chang'e spacecraft in 2013 — roughly 40 years after any vehicle, crewed or uncrewed, had soft-landed on the lunar surface. Much of the lunar exploration focus has been on the south pole, as the region is expected to be home to vast stores of water ice that can be converted to drinking water or fuel for rockets. But the vehicles that have made soft landings so far have explored a variety of regions. Update: Date: Title: Soft landing on the moon is still really hard. Here's why Content: All lunar landing attempts — even missions such as this with no humans on board — bring with them an element of risk and awe. Success is far from guaranteed. Overall, more than half of all lunar landing attempts have ended in failure, tough odds for a feat humanity first pulled off nearly 60 years ago. While technology has advanced in the past five decades, the fundamental challenges of landing on the moon remain the same. Here's what Resilience has had to overcome — and what it has yet to face. Update: Date: Title: What went wrong during Ispace's last lunar landing attempt Content: Ispace's first lunar lander, referred to by its model name, Hakuto-R, made a dramatic crash landing on the moon in 2023. When the estimated landing time came and went, and mission controllers had spent about 10 minutes troubleshooting why the lander hadn't sent a signal, it was safe to assume the golf-cart-size vehicle had not made a gentle touchdown, Ispace CEO Takeshi Hakamada, told CNN. A NASA satellite later photographed the crash site. Ispace then spent weeks poring over the data, trying to pinpoint what went wrong. 'Almost everything performed perfectly — propulsion system, communication system, and also structure,' Ispace chief financial officer Jumpei Nozaki told CNN in January about the first Hakuto-R mission. 'The issue was the software and the altitude measurement has some issue.' Essentially, Hakuto-R had miscalculated its altitude, and the vehicle ended up running out of fuel before touching down on the surface. This time around, executives are far more confident. A software patch is in place. And mission controllers are hoping to get confirmation of a smooth touchdown within a minute or so after the 3:17 p.m. ET expected landing time. Update: Date: Title: Here's what to expect during today's moon-landing attempt Content: Resilience, a spacecraft built by Tokyo-based Ispace that could redeem the company after a failed moon-landing attempt in 2023, is ready to make its final descent to the lunar surface. Ispace has broken down its mission in to series of 10 goals or anticipated 'successes.' Resilience has already notched through the first eight of those steps. All that's left is the landing sequence and the harrowing moment of touchdown. Here are the key moments to watch out for: • During the touchdown attempt, Ispace will confirm it has started the 'lunar landing sequence' — the final steps the Resilience lander will need to tick through in the moments before the vehicle leaves it circular orbit around the moon and begins its touchdown attempt. • There a several critical phases within the sequence. The vehicle will begin to change its orientation and start the braking process, aiming to slow down Resilience's speed. • Resilience's targeted touchdown time is 3:17 p.m. ET. The lander is aiming for a spot within Mare Frigoris — or the 'Sea of Cold' — which lies in the moon's far northern reaches. • If all goes according to plan, Ispace should confirm the vehicle is safely on the surface within a minute or so after touchdown, the company's CEO, Takeshi Hakamada, told CNN. • Ground controllers will then conduct a series of health checks to make sure the lander, its science instruments and all other components are functioning as intended. • The first image from the lander is expected within the first 12 hours after the spacecraft reaches the surface, perhaps sooner. (Take note: Every lunar landing mission has to deal with limited bandwidth to beam data back to Earth. Sometimes, visuals are not the highest priority.)


Forbes
22 minutes ago
- Forbes
AI ROI Isn't Just Dollars: How To Measure Intangible Wins
Companies are investing millions in AI, but the biggest returns might be faster decisions, happier ... More teams and smarter workflows. Enterprises are pouring billions into AI. Retail companies alone plan to spend $33.2 million annually on AI initiatives, according to a 2025 IBM survey. But while some are already reporting wins — and others are still waiting for returns — industry experts say too many are asking the wrong question: Is AI making us richer? Instead, they say, the better question might be: Is it making us better? That shift in mindset is becoming essential today. Because, as more businesses deploy AI across their operations, the most valuable results aren't always the ones that show up in quarterly earnings. Sometimes the clearest wins come in faster decisions, smarter workflows and more satisfied employees. It's only natural for companies to prioritize financial gains when measuring the ROI on their AI investments. But according to experts like Adrienne Uthe, managing principal at Kronus Intelligence Group, that's not all that matters. 'Organizations can simply move much faster than ever before. Everyone can develop their own MVPs while solving problems at unprecedented speed. Junior workers gain more experience in a short period thanks to a healthy collaboration with their AI-driven sidekicks,' Uthe told me in an interview. Her argument is that like no other time in human history, professionals now have tools at their disposal that could make them more productive than ever. And there's real-world proof to support Uthe's claims. Consider the National Bank of Australia that, since it began using Microsoft 365 copilot, has drastically reduced the time spent on analyzing millions of security event logs. This increased efficiency has freed up valuable time for the company's engineers who can now apply their expertise to other pressing matters. The trend also aligns with a 2024 survey by PwC, which revealed over 80% of employees believe that the continuous use of generative AI tools will make them more efficient at work. And it's not just about doing more work faster. Companies like Elvee — which uses AI to help contact center agencies address employee attrition, retain top performers and recapture revenue — have also been at the backend of enabling employee performance with AI. In one particular example, Raz Dar, founder and CEO of Elvee, noted how their platform helped a manager notice that a top-performing contact center agent was quietly planning to quit. 'On the surface, it looked like everything was fine. The employee was a top performer. But the manager was shocked to see that the system showed the employee was at a high risk of leaving,' Dar said excitedly. The early alert gave the company time to intervene, rework the agent's schedule, and keep a key team member. No revenue changed hands, but something just as valuable happened: culture was preserved. And that, more than any dashboard metric, is what real AI ROI can look like. For Dar, this is another real-world pointer to the intangible but really powerful benefits of AI. He calls it 'culture-shaping AI,' emphasizing AI's role in helping to set the tone for employee performance and motivation across organizations. As more businesses begin to consider the impact of AI on their daily operations, it makes sense to spotlight the parameters to judge the value of the returns. When CEOs aren't thinking about monetary gains, they can consider other crucial things like employee satisfaction, customer feedback and even ethical concerns. 'Companies should track decision quality through accuracy rates, speed improvements, and confidence levels across key business processes. The best approach measures decision reversal rates and compares predicted versus actual outcomes. Focus on simple metrics that show whether AI-influenced decisions are actually better decisions,' said Brig Barker, managing principal at Kronus Intelligence Group. Uthe added that companies should focus on three areas: how fast decisions get made, how well information flows through the organization and how quickly teams can respond to market changes. 'If your workers say they enjoy greater satisfaction working with AI than before when they worked with it, then it means you're doing something right.' But employees aren't the only stakeholders AI affects. Customers matter, too, in the grand scheme of measuring AI ROI. How the users of an AI-powered product perceive it is crucial in determining whether it deserves to remain available or get pulled off the market. Seasoned customer experience expert Shep Hyken claims that more customers are feeling relaxed with the use of AI in service delivery. For instance, AI chatbots have become more popular in the last few years, enabling businesses to handle large volumes of customer complaints at a quicker pace than human support staff. In fact, the momentum of AI-powered customer support is so high that Hyken's annual CX survey showed 63% of U.S. customers expect more companies to adopt AI chatbots and other forms of automated customer support. In 2021, only 21% of respondents shared this sentiment. While the story of Klarna — which replaced 700 roles with AI chatbots in 2024 but quietly started rehiring for the same roles this year because its customers preferred human support — may cast a shadow over Hyken's claims, the forecast for AI in customer support looks good. Still, for companies whose clients don't speak highly of their AI deployment, it might be time to rethink their strategy and try again. AI ROI isn't just about cost savings or new revenue streams. It's about what changes — and improves — when AI becomes part of how a company works. While financial return may be the headline metric, especially when companies have poured significant capital into AI, it's not the only one that matters. Businesses must first decide why they're investing in AI — and only then decide what success actually looks like. If your AI investments end up making your employees work better and feel more satisfied, or they make your customers happier, or they make you, as a business leader, more efficient, then that's certainly a win. And as Dar said, 'these intangible wins often have tangible impact, even on finance. That's a win-win situation.' Uthe prescribes that companies should focus on decision speed, execution velocity and how fast teams can turn ideas into reality. She added that they must also track the time from problem identification to solution deployment, measure how AI amplifies their best people's capabilities and spread that performance across the organization. 'The goal,' she said 'should be to increase organizational acceleration.' Dar cautioned that replacing human agents with AI can backfire if you're not careful, explaining that many employees get spooked when they hear their company is piloting AI. But ironically, he noted that the best AI models need those same employees to train the system and handle the nuanced, emotional conversations AI can't. 'Retention is key if you want your AI to succeed,' he said.

Miami Herald
23 minutes ago
- Miami Herald
Small business AI adoption declines to just 28%
Small business AI adoption declines to just 28% Is artificial intelligence (AI) living up to the hype for small business owners? NEXT's recent survey of AI tool adoption for small businesses shows that many are dialing back. Independent operators rely on AI tools to be more efficient, and they're optimistic about its impact. But many more seem to have stopped incorporating AI into their business operations since they were last surveyed in 2024. And cost and complexity seem to be the barriers keeping them out. How many small businesses use AI? NEXT surveyed 1,500 small business owners in April 2025 to ask about their AI usage and plans for implementation. While 42% of small businesses reported using AI in 2024, our 2025 survey reveals a significant drop to just 28%. Why the loss of interest? Some small business owners, like Danilo Coviello, founding partner of translation agency Espresso Translations, use AI regularly, but worry that it can add business risk. He says, "I use AI behind the scenes to streamline prep, clean terminology, and test briefs-but not to replace translators or project managers. AI can't sense tone shifts, legal nuance or when a vague phrase could cost a client down the line. It doesn't ask follow-up questions or spot formatting issues across languages. That's where people still matter. Accuracy, accountability, and context still belong to humans." Enthusiasm for AI adoption seems to have cooled. Last year, 27% planned to increase their business' AI use. When asked in 2025, only 23% would "definitely consider" adding AI. This year, just 19%-roughly 1 in 5 business owners-might add it. And 58% say they don't plan to use AI for business at all. 7 ways small businesses are using AI While AI adoption seems to be down across the board, those that are using it are finding some business value. Survey data shows small businesses mostly use AI for content creation and marketing, customer service and product suggestions. Small businesses also use the technology to help streamline calendars and scheduling tasks, as well as accounting and payroll. 1. Personalized content and automated marketing "In 2025, the key to leveraging AI in your marketing is to let it help you, not replace you, as the expert," says marketing and AI expert Brendan Egan, founder and CEO of digital marketing agency Simple SEO Group. AI marketing tools can help small businesses create personalized content and promotions. And small business owners are clued in: According to NEXT's survey, 11% of respondents use AI for marketing and content, making it the top use case. Small business owners need to understand AI's limitations and how to use it well. Says Egan, "While AI can write content, doing so may harm your site's Google rankings. While AI can craft customer-facing emails, many companies have been caught sending something they may not want to because AI wrote it." And there is no shortage of tools to help you with your work. Jasper and can help automate copy creation. And Canva and Midjourney can assist with images and graphics. "Currently, we are advising small businesses to leverage AI to help them with their marketing and not do it for them," Egan says. "For example, if you're writing a blog for SEO purposes to drive more traffic to your site, ask AI to come up with an outline and some facts for you so it is easier and faster for you to write the content. Ask AI to help you come up with creative ideas for ads in your niche or suggestions for keywords." 2. Chatbots for immediate customer service information NEXT's survey found that 9% of small business owners use AI for customer service using tools like AI assistant chatbots. These smart bots can free up your time to focus on more complex customer interactions-and could even help with cross-sell or upsell opportunities. Look for AI-powered chatbot platforms that allow you to build customized chatbots without coding skills. 3. Product recommendation tools for customized experiences NEXT's survey shows that 8% of business owners use AI for product recommendations to help small businesses boost sales and increase customer loyalty. Platforms like Shopify's AI-powered recommendations or Amazon Personalize analyze a customer's purchase history and browsing patterns to suggest relevant products. 4. Virtual assistants for schedules and device control Virtual assistants such as Siri, Alexa and Google Assistant aren't just for personal tasks. They're helpful in business, too. NEXT's survey shows 8% of business owners use AI to manage schedules and appointments, set reminders, answer quick queries and control smart devices at work. 5. Accounting and payroll tools AI accounting and payroll tools can make financial management tasks easier, reduce errors and save time. 7% of small business owners already use these tools to operate their business, NEXT's study shows. Popular platforms such as Quickbooks, Xero, Gusto and Freshbooks already use AI technology to automate repetitive financial tasks such as invoice processing, track expenses and manage payroll. 6. Data analysis and visual reporting AI-powered data tools like IBM Watson and Google's Looker Studio can help businesses understand complicated data like weaknesses, opportunities, product pricing and forecasting. These tools use machine learning to spot patterns and create clear visual reports to help you make more informed business decisions. 7. Intelligent document processing for invoices, shipping, transcripts and more AI document tools can boost efficiency by pulling data from things like invoices, receipts and purchase orders to cut down on errors from manual data entry. And if your business paperwork is suddenly digital, it can be easier to store, sort and search. Translation company owner Coviello uses AI to, " … generate internal docs more quickly, edit the templates given to clients and review the translation briefs." But AI for these tasks could introduce liability: "We once translated a supplier contract from German and the AI completely misread embedded acronyms. A human translator flagged it in two minutes, double-checked with the client, and fixed it before it caused damage. AI just moved on. In our field, that's the problem." Common barriers to adopting AI for business "Business owners generally fall into two buckets when it comes to integrating AI," says Egan of Simple SEO Group. "Those that are using it too much, or those who are not using it at all. In our experience, there are very few businesses using AI 'properly'." NEXT's survey data reveals small business owners have mixed feelings about AI's impact. While some owners (12%) believe AI could boost revenue, and operational efficiency (12%), many remain unsure or skeptical about its value. Some believe AI won't affect their business in any way (9%), believe it's a threat to their business (9%) or that it will decrease their profits (7%). A few obstacles that hinder AI's adoption include: Cost of implementation Though AI can often help cut costs, the price of adopting AI remains a hurdle for small businesses. The Bipartisan Policy Center reports that 55% of small business owners identify cost as a reason to not use AI. Lack of education A 2025 survey by Service Direct found that 62% of small businesses cite a lack of understanding about AI's benefits as a barrier to adoption. Many small business owners still view artificial intelligence tools as too complicated or meant only for larger businesses. The challenge of data management Data helps AI make more accurate predictions. But collecting, organizing and analyzing data can be difficult for small businesses. A Hyperscience and Harris Poll study found half of organizations don't use AI for document processing or workflow improvements, and 77% underuse available data needed for accurate AI models. This story was produced by NEXT and reviewed and distributed by Stacker. © Stacker Media, LLC.