Seven science-backed strategies for quitting tobacco

Discover the strategies backed by science and AI to free yourself from tobacco and recover your health.

The day the world decided to confront tobacco

In an epic twist in history, almost forty years ago, the World Health Assembly raised its voice against a silent enemy: tobacco. Declared May 31 as World No Tobacco Day, an annual battle to save millions of lives. Today, that fight remains more relevant than ever, and artificial intelligence joins the fight with weapons backed by science.

The secret weapons to beat addiction

ChatGPT, the digital oracle of our times, did not hesitate to celebrate the consultation: “Quitting smoking is one of the bravest decisions you can make,” he proclaimed with the solemnity of a herald. And he is not exaggerating: each year, tobacco claims more lives than many wars combined, being the main cause of preventable death in countries like the United States.

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1. Nicotine replacement therapy: A shield against withdrawal

Backed by giants like the Mayo Clinic and the WHO, this strategy deploys an arsenal of patches, gums and sprays. Its mission: trick the body, calming anxiety without the poisons of tobacco. A trick worthy of the best strategists!

2. Prescription medication: The heavy artillery

The FDA approves drugs that act as sentinels in your brain, blocking the desire to smoke. But be careful, the AI ​​warns: “Only under the watchful eye of a doctor.” Names like varenicline sound like a magic potion, but they require supervision.

3. Cognitive-behavioral therapy: Re-educating the mind

Here the battle is psychological. The American Psychological Association teaches how to dismantle the mental habits that tie you to smoking. Individual, group or even online sessions become trenches against addiction.

4. Apps and support groups: The army of the brave

Imagine a legion of ex-smokers cheering you on from your smartphone. Apps like SmokeFree and QuitNow are your digital allies, showing you in real time the money saved and the years of life recovered. They even sync with your smart watch to monitor every progress!

5. The key date: D-Day

The American Lung Association is clear: mark your “liberation day” on your calendar. Get rid of cigarettes, lighters and even ashtrays as if they were enemy weapons. And recruit family and friends: in this war, emotional support is your rearguard.

6. The healthy lifestyle: Strengthening defenses

Exercise, nutrition and hydration become your triple alliance. Avoid alcohol and coffee, traditional accomplices of tobacco. Every step, every glass of water, is another wall against temptation.

7. Relapses: They are not defeats, but lessons

As in any great epic, there will be falls. Swiss Medical reveals that you rarely beat tobacco on the first try. But each relapse makes you wiser, stronger. The AI wisely sums it up: “Each attempt brings you closer to final victory.”

The final call to action

If this story has inspired you, share this crusade on your social networks. Let others know the weapons to win this battle. Do you want more strategies? Explore our content and discover how science and technology can change your life. The time to act is now!

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AI detects breast cancer with 90% accuracy

An autonomous model analyzes thermographs and classifies tissues without human intervention.

An artificial intelligence model developed by Raúl Castro Ortega, a researcher at the Polytechnic University of Tulancingo, manages to identify breast cancer with an accuracy of 90%. The results were presented during the SPIE Photonics Europe 2026 International Congress, in Strasbourg, France.

How the system works

The system uses convolutional neural networks with attention mechanisms to analyze breast thermographs. Unlike traditional methods, the model autonomously learns the patterns of healthy and diseased tissue, without a specialist previously defining the characteristics of the images. This reduces processing time and improves consistency of results.

The study, titled “Breast thermography analysis using convolutional neural networks with attention mechanisms,” uses an algorithm based on the heat diffusion equation. This approach focuses analysis on thermogram regions of interest and classifies tissues with high levels of sensitivity and specificity.

Impact on early detection

The accuracy achieved represents a significant advance for the early detection of breast cancer, which can improve survival rates and facilitate timely treatment. The researcher highlighted that the system does not replace the specialist, but rather works as a support tool for faster and more consistent diagnoses.

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OpenAI models compromised Hugging Face: AI’s fault?

Two OpenAI models breached Hugging Face; experts question human responsibility.

OpenAI confirmed that two of its most advanced artificial intelligence models were responsible for the cyber incident against Hugging Face. The company is still investigating what it called an unprecedented event.

The incident

Hugging Face detected the intrusion last week. Until this week he didn’t know that OpenAI was behind it. Its CEO, Clément Delangue, described the attack as:

“An attack like nothing we have seen before”

OpenAI explained that its AI used compromised credentials and an unknown vulnerability to access the servers. It operated with reduced protections because it was in an isolated testing environment (sandbox). Still, the system found ways to connect to the Internet without human instruction and obtained secret information to “cheat” on the assessment.

Experts such as Hannes Cools, a social scientist at the University of Amsterdam, question the OpenAI version:

“It is a human decision to disable specific safeguards. It is not the AI that goes haywire. It followed instructions based on the warning it was given”

Other specialists warn that the ability of these models to act autonomously reveals the dangers of frontier technology.

The attack occurs amid the debate over open source models. OpenAI keeps its systems closed, while Hugging Face promotes open access. Its co-founder, Thomas Wolf, noted:

“When a frontier model attacks you, defenders need broad access to near-frontier tools in minutes, not on closed platforms”

Hugging Face used an open source Chinese model to contain the intrusion. The incident reinforces conflicting positions on the risks and benefits of openness in artificial intelligence.

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Alphabet exceeds expectations with record quarterly revenue

Alphabet reported revenue of $119.8 billion, beating forecasts thanks to AI.

Alphabet Inc., Google’s parent company, presented better-than-expected results in the second quarter. The company attributes the performance to its heavy investment in artificial intelligence and strong advertising revenue.

Key results

The Mountain View, California-based company reported revenues of $119.8 billion between April and June, an increase of 24% compared to $96.43 billion in the same period in 2023. Net income reached $112.11 billion, equivalent to $9.11 per share, well above the $28.2 billion ($2.31 per share) the previous year.

FactSet analysts were expecting revenue of $117.06 billion. Alphabet did not release an adjusted earnings figure comparable to expectations of $2.88 per share.

“Our investments in AI are redefining what is possible in every part of our business,” CEO Sundar Pichai said in a statement.

Alphabet shares rose $2.71 to $344.62 in after-hours trading.

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