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Artificial Intelligence Beats Doctors At Predicting Heart Attacks

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artificial intelligence, artificial intelligence beats doctors at predicting heart attacks, artificial intelligence beats doctors at predicting heart attacks, neural network, heart attack, heart disease, doctors, AI beats doctors at predicting heart attacks, american college of cardiology, american heart association, american college of cardiology, american heart association, cardiovascular, health, heart attack, medicine, modelling, predictive, science, united kingdom, university of nottingham

Every year an estimated 20 million people all across the globe die due to cardiovascular disease. It becomes the leading cause for both men and women and most of the times these heart attacks are preventable. Doctors are pretty good at identifying the early symptoms of heart attacks and also warning the patients about the upcoming risks. But now it became little surprising to know that computers do the job even better than the doctors.

Scientists at the University of Nottingham have a new way of anticipating heart failure among patients. The researchers developed a set of computer programs which used artificial intelligence that could predict heart attacks even better than the doctors. These algorithms were trained on real patient records and developed criteria which then outperformed the current guidelines set by the American Heart Association (AHA)

The AHA has developed a set of guidelines to estimate a patient’s probable risk of cardiovascular disease, which is based on 8 factors including age, cholesterol level, and blood pressure. On average, this system correctly guesses a person’s risk at a rate of 72.8 percent.

This is how the research went on:

  • Stephen Weng, an epidemiologist at the UK University and his team built four computer learning algorithms and fed them data from as many as 4 lakh patients suffering from cardiovascular disease.
  • The system first used 295,000 records fro generating their internal predictive models
  • Then they used the remaining records to test and refine them.
  • These algorithm results outperformed the AHA guidelines by 7.6 percent while raising 1.6 percent fewer false alarms.

It is interesting to learn that the AI systems identified a number of risk factors like severe mental illness and the consumption of oral corticosteroids which are not currently included in the AHA guidelines.

Weng told in an interview: “There is a lot of interactions in biological systems. That is the reality of the human body. What computer science allows us to do is to explore those associations.”

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Artificial Intelligence

Adopt AI Secures $6 Million to Power No-Code AI Agents for Business Automation

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Adopt AI

Adopt AI, a San Jose and Bengaluru-based agentic AI startup, has raised $6 million in seed funding led by Elevation Capital, with participation from Foster Ventures, Powerhouse Ventures, Darkmode Ventures, and angel investors. The funding will be used to expand the company’s engineering and product teams and to scale enterprise deployments of its automation platform.

 

Founded by Deepak Anchala, Rahul Bhattacharya, and Anirudh Badam, Adopt AI offers a platform that lets businesses automate workflows and execute complex actions using natural language commands, without needing to rebuild existing systems. Its core products include a no-code Agent Builder, which allows companies to quickly create and deploy AI-driven conversational interfaces, and Agentic Experience, which replaces traditional user interfaces with text-based commands.

The startup’s technology is aimed at SaaS and B2C companies in sectors like banking and healthcare, helping them rapidly integrate intelligent agent capabilities into their applications. Adopt AI’s team includes engineers from Microsoft and Google, with Chief AI Officer Anirudh Badam bringing over a decade of AI experience from Microsoft.

The company has also launched an Early Access Program to let businesses pilot its automation solution and collaborate on new use cases.

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Google’s Iconic ‘G’ Logo Gets First Update in 10 Years

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Google has refreshed its iconic ‘G’ logo for the first time in nearly 10 years, replacing the familiar solid blocks of red, yellow, green, and blue with a smooth, vibrant gradient that blends these colors seamlessly. This subtle update gives the logo a softer, more fluid, and modern appearance, aligning with Google’s evolving digital identity and current design trends.

The new gradient transitions smoothly from red to yellow, yellow to green, and green to blue, making the logo more visually appealing and adaptable across various devices, especially on mobile platforms. This redesign also reflects Google’s growing emphasis on artificial intelligence, echoing the gradient style used in the branding of Google Gemini, the company’s AI-generative assistant.

The updated ‘G’ logo has started rolling out on iOS through the Google Search app and on some Android devices, particularly Pixel phones running the Google app beta version 16.18. However, most other platforms, including the web and non-Pixel Android devices, still display the classic solid-color logo. A wider rollout is expected in the coming weeks.

So far, Google’s main wordmark and other product logos like Chrome, Maps, and Gmail remain unchanged. Given the shift toward gradient designs and AI-inspired visuals, similar updates to other Google icons may follow in the future.

In summary, this first major update to the ‘G’ logo since 2015 signals a subtle but meaningful shift in Google’s branding strategy, blending tradition with innovation as the company deepens its focus on AI and modern design aesthetics.

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Technology

Why Skype Lost to Zoom: The 2011 Turning Point?

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Skype

Skype’s downfall, culminating in its retirement on May 5, 2025, was set in motion as early as 2011 when Microsoft acquired the platform. While Skype was once synonymous with online calling, Microsoft’s stewardship led to stagnation. Instead of innovating, Microsoft focused on integrating Skype into its broader ecosystem and later shifted attention to Teams, cannibalizing Skype’s features and user base.

Skype’s peer-to-peer architecture struggled to adapt to the cloud era, making it less scalable and secure compared to cloud-native rivals like Zoom. As competition from WhatsApp, FaceTime, and especially Zoom intensified, Skype’s interface became cluttered and user experience suffered.

The COVID-19 pandemic should have been Skype’s moment, but it failed to capitalize. In 2020, Skype held a 32.4% market share, but by 2021, Zoom had surged to nearly 50% while Skype plummeted to just 6.6%. Users flocked to Zoom for its simplicity and reliability, while Skype’s daily user count actually dropped during this period.

Ultimately, Skype lost because it failed to modernize, innovate, and focus on what users valued most-simple, high-quality video calls. Its decline was less about Zoom’s brilliance and more about years of missed opportunities and strategic missteps.

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