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Artificial intelligence can better predict future risk for heart attack patients

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Artificial intelligence can better predict future risk for heart attack patients


Credit: CC0 Public Domain

A landmark study led by University experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack.

The study, conducted by an international team of researchers, led by the University of Leicester’s Honorary fellow, Doctor Florian Wenzl working closely with Professor David Adlam, both from the Department of Cardiovascular Sciences, has been published in The Lancet Digital Health.

Doctors caring for patients with the most common form of caused by a partial blockage, known as non-ST-elevation (NSTE-ACS)—typically rely on the GRACE score to estimate a patient’s risk of dying or having another cardiovascular event. It is used to guide treatment decisions but has long been recognized as being unable to capture the full complexity of each patient.

However, the newly created GRACE 3.0 score is an advanced, AI-based risk assessment tool for patients with acute coronary syndromes. It is able to predict the probability of in-hospital and 1-year mortality by looking at nine widely available variables: age, sex, , , troponin level, ST-deviation, creatinine level, , and heart failure symptoms.

Dr. Wenzl said, “GRACE 3.0 represents the next evolution of the GRACE score, bringing AI methods into one of the most widely used risk tools in cardiology. It was trained and externally validated on data from hundreds of thousands of patients from multiple countries, which gives it a very strong evidence base. Unlike traditional risk scores, GRACE 3.0 captures complex and non-linear relationships that conventional approaches often miss.”

“Another key improvement is that GRACE 3.0 is sex-specific and tailored precisely for patients with a partial blockage in their , rather than being applied more broadly across those with other types of heart attacks caused by complete blockage in their coronary artery.

“In addition, the GRACE 3.0 score enables physicians to better predict whether or not patients will benefit from early invasive treatment such as angioplasty (to open the artery with a balloon and typically place a stent).”

Professor Adlam, an interventional cardiologist at the University, working within the Leicester NIHR Biomedical Research Center, added, “This newly developed score, using , helps tailor treatment for patients by better detecting future risk and therefore guiding which health interventions they would benefit from.

“The GRACE 3.0 score is now increasingly being incorporated into international guidelines and may inform the design of future clinical trials.”

More information:
Florian A Wenzl et al, Extension of the GRACE score for non-ST-elevation acute coronary syndrome: a development and validation study in ten countries, The Lancet Digital Health (2025). DOI: 10.1016/j.landig.2025.100907

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Artificial intelligence can better predict future risk for heart attack patients (2025, October 19)
retrieved 19 October 2025
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How to Protect Yourself Against Getting Locked Out of Your Cloud Accounts

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How to Protect Yourself Against Getting Locked Out of Your Cloud Accounts


If you’re sensitive to tech disasters, you might want to look away now: A recent Reddit thread tells the story of an unfortunate user who found 30 years of photos and work locked away and inaccessible in Microsoft OneDrive.

The individual made use of their cloud storage account to consolidate files from various hard drives, which had to be discarded due to a move. The plan was to then move the files back from OneDrive to new hard drives, but before the user was able to do this, their account was locked by Microsoft—without any reason given.

It’s still not clear why the account was locked or why Microsoft has so far ignored the user’s appeals to restore access, but it’s a warning to the rest of us—and a reminder to put a few basic protections and precautions in place.

Keep Multiple Backups

It used to be a truth universally acknowledged that data wasn’t properly backed up until it was backed up twice, in two separate locations. You can copy your important files to an external hard drive, but if it’s in the same room as your laptop, then theft, fire, or flood can wipe out both copies at the same time.

Today, having two backups of everything—so three copies in total—might seem excessive, as cloud storage services so rarely go down. We’ve all become used to the idea that the data we’ve logged with Microsoft, Google, Apple, or other providers is always going to be available, so we don’t need to worry about it.

Apps will often push you to delete local copies of your files.

Photograph: David Nield



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The DeltaForce 65 Brings Das Keyboard Into the Modern Keyboard Era—for Better or Worse

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The DeltaForce 65 Brings Das Keyboard Into the Modern Keyboard Era—for Better or Worse


A series of shallow grooves line either side of the case’s bottom half. These seem to mimic the side sculpts of some limited-run custom keyboards, and they have a functional purpose, making it easier to lift the keyboard. The design is mirrored in the aluminum knob in the top right corner, which has a similar motif. I really like that these designs are not only ornamental but actually have a functional purpose during regular use.

Going further into the aesthetic choices of this keyboard, it loses me a bit with the keycaps. I’m not a big fan of the camouflage design. The shapes don’t always line up across keycaps, and it overall seems tacky. However, the print quality is top-notch, with no fuzziness or discoloration, consistent even along the keycaps’ sides. Because the keycaps are white with multicolored printing on top, the RGB lighting is able to bounce between the white plastic plate and the white undersides of the keycaps, appearing brighter and diffusing more evenly across the keyboard.

With a polling rate of 1,000 Hz (meaning the keyboard sends 1,000 messages to the computer every second), the DeltaForce 65 feels snappy and responsive. This combines with the relatively light Gateron Red switches to make a keyboard that’s effective for gaming while still being comfortable to type on. It doesn’t compare to high-end gaming keyboards with Hall effect switches and 8,000-Hz polling rates, which are going to be faster and more customizable, but for casual gaming, it’s more than enough.

The compact size of the keyboard is ideal for gaming, saving a significant amount of space compared to a full-size keyboard. This allows for more mouse space and lets your hands sit closer together for more rapid movement between the mouse and keyboard. To make up for the loss of the function row up top, you can hold the FN key and press the corresponding number key (i.e., FN+1 = F1), and the FN key can be used with some other keys for the Home, Pause, Print Screen, and other removed keys. The knob in the top right is easy to reach and has a satisfying notchiness to it. It’s programmed to adjust volume by default, but can be remapped to nearly anything else.

Software Quirks

Photograph: Henri Robbins

As far as programmability, VIA is the star of the show here. The DeltaForce65 uses an open source system known as QMK for its programmability, and VIA is an in-browser interface based on QMK that allows for seamless, rapid customization of the keyboard’s layout. The system is incredibly powerful and intuitive to use, and a common capability of many modern mechanical keyboards.



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Gemini in Google Home Keeps Mistaking My Dog for a Cat

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Gemini in Google Home Keeps Mistaking My Dog for a Cat


A cat jumped up on my couch. Wait a minute. I don’t have a cat.

The alert about the leaping feline is something my Google Home app sent me when I was out at a party. Turns out it was my dog. This notification came through a day after I turned on Google’s Gemini for Home capability in the Google Home app. It brings the power of large language models to the smart home ecosystem, and one of the most useful features is more descriptive alerts from my Nest security cameras. So, instead of “Person seen,” it can tell me FedEx came by and dropped off two packages.

In the two weeks since I allowed Gemini to power my Google Home, I’ve enjoyed its ability to detect delivery drivers the most. At the end of the day, I can ask in the Google Home app, “How many packages came today” and get an accurate answer. It’s nice to know that it’s FedEx at the door, per my Nest Doorbell, and not a salesperson offering to replace my windows. Yet for all its smarts, Gemini refuses to understand that I do not have a cat in my house.

Person Seen

ScreenshotGoogle Home via Julian Chokkattu

Google isn’t the only company souping up its smart-home ecosystem with AI. Amazon recently announced a feature on its Ring cameras called Search Party that will use a neighborhood’s worth of outdoor Ring cameras to help someone find their lost dog. (I don’t need to stretch to imagine something like this being used for nefarious purposes.)

In early October, Google updated the voice assistant on its smart-home devices—some of which have been around for a decade—by replacing Google Assistant with Gemini. For the most part, the assistant is better. It can understand multiple commands in a spoken sentence or two, and you can very easily ask it to automate something in your home without fussing with the Routines tab in the Google Home app. And when I ask it a simple question, it generally gives me some kind of a reliable answer without punting me to a Google Search page.

Smarter camera alerts are indeed more helpful at a glance. Most of the time, I dismissed Person Seen notifications because they’re often just people walking by my house. Now the alerts actually say “Person walks by,” which gives me greater confidence to dismiss those. Some alerts accurately say “Two people opened the gate,” though sometimes it will hallucinate: “Person walks up stairs,” when no one actually did. (They just walked on the sidewalk.) It has fairly accurately noted when UPS, FedEx, or USPS are at the door, which is nice to know when I’m busy or out and about, so I can make sure to check for a package when I get home—no need to hunt through alerts.

But with my indoor security cameras, Gemini routinely says I have a cat wandering the house. It’s my dog. Even in my Home Brief—recaps at the end of the day from Gemini about what happened around the home—Gemini says, “In the early morning, a white cat was active, walking into the living room and sitting on the couch.” It’s amusing, especially considering my dog hates cats.

CatDog

Screenshot

ScreenshotGoogle Home via Julian Chokkattu

You would think then that I would be able to just tell this smarter assistant, “Hey, I don’t have a cat. I have a dog,” and it would adjust its models and fix the error. Well, I did exactly that. In the Ask Home feature, you can talk to Gemini and ask it anything about the home. This is where you can ask it to set up automations, for example. I asked it to turn on the living room lights when the cameras detect my wife or I arriving home, and it understood the action. It even guessed that I wanted the lights to come on only when arriving at night, despite me forgetting to mention that.



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