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superstition or marketing stunt? In tobacco shops, luck mainly makes you sell

by Daniel Foster - Senior Editor, Economy
written by Daniel Foster - Senior Editor, Economy

Friday the 13th: A Lucky Day for Lotteries in Marseille? Breaking News & Gambling Trends

Marseille, France – February 13, 2026 – Is Friday the 13th truly a magnet for gamblers? Reports from several points of sale across Marseille suggest a nuanced picture, with increased participation in lottery games despite stable average ticket prices. This breaking news offers a fascinating glimpse into the psychology of superstition and its impact on consumer behavior, providing valuable insights for SEO and Google News indexing strategies.

More Grids, Not Bigger Bets: The Marseille Lottery Trend

While the average spend per customer remains around three euros, tobacconists are reporting a significant increase in the number of lottery grids purchased. Matthieu, manager of the La Régence tobacco shop, observed that customers aren’t necessarily wagering more per bet, but are simply entering more times. This trend is particularly noticeable with the “super lottery” offered on this traditionally superstitious date, with players adding extra grids to their usual weekly lottery purchases. The result? A mechanical increase in overall turnover.

Scratch Card Frenzy and Unexpected Discoveries

The surge isn’t limited to traditional lotteries. Evan, at La Civette du Palais, noted a marked increase in foot traffic and a booming demand for scratch cards. “People see this date as an opportunity,” he explained, witnessing customers spending hours scratching cards. Some were even encouraged to stop after prolonged play, a testament to the date’s allure. Interestingly, many players discover the existence of special Friday the 13th prize pools directly at the point of sale, prompting impulse purchases.

The Myth vs. Reality: Not Everyone is Convinced

However, not all retailers are buying into the superstition. The manager of Le Diplomate tobacco shop dismisses the Friday the 13th effect as “a complete myth.” He attributes the increased activity to the game’s structure itself – higher potential winnings and guaranteed prizes, such as the 50 prizes of 20,000 euros. Despite differing opinions, the shops are seeing a mix of regular players and new faces, all hoping for a stroke of luck on this particular Friday.

Beyond Superstition: The Psychology of Gambling and Date-Driven Trends

The phenomenon observed in Marseille highlights a broader psychological principle: the power of association. Friday the 13th has become culturally ingrained as a day of awful luck, but for some, this association translates into a perceived opportunity for a lucky win. This is a classic example of how cultural beliefs can influence consumer behavior, creating temporary spikes in demand for specific products, and services. The increased participation also statistically leads to more winners, even if the odds remain the same, reinforcing the perception of a lucky day.

This surge in lottery and scratch card sales offers a compelling case study for businesses looking to leverage date-driven marketing campaigns. Understanding the cultural significance of specific dates and tailoring promotions accordingly can be a highly effective strategy for boosting sales and engaging customers. For SEO professionals, monitoring these trends provides valuable keyword insights and opportunities to optimize content for timely search queries.

As the day progresses, Marseille’s tobacconists continue to witness the effects of this enduring superstition, proving that even in the age of data and analytics, a little bit of luck – or the belief in it – can still drive significant consumer activity.

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world

Sciences Po Aix and ACM‑IAU Formalize Strategic Partnership to Boost Student and Faculty Mobility

by Omar El Sayed - World Editor
written by Omar El Sayed - World Editor

aix-en-Provence Institutions Formalize Decades-Long Collaboration

Table of Contents

Aix-en-Provence, France – In a move solidifying a longstanding, albeit informal, relationship, Sciences Po Aix adn The American College of the Mediterranean – Institute for American universities (ACM-IAU) have signed a formal partnership agreement.The accord, finalized on Wednesday, February 11th, at the Sciences Po Aix campus, aims to strengthen academic exchange and collaboration between the two institutions.

A History of Parallel Growth

For nearly seventy years, thes two prominent educational establishments have coexisted in the heart of Aix-en-Provence, near the saint-Sauveur Cathedral. Despite their proximity and a consistent history of dialog and cooperation, a formal agreement was previously lacking. Alessia Lefébure, the recently appointed Director of Sciences Po Aix, noted that the absence of a structured partnership was a surprise upon her arrival.

Sciences Po Aix,established in 1956,specializes in training leaders for roles in both the public and private sectors. Similarly, ACM-IAU, founded in 1957, has been a cornerstone for American students seeking educational opportunities in a European setting.Both institutions have grown to become vital components of the academic landscape in the region.

Details of the New Agreement

The newly signed agreement establishes a framework for sustained collaboration. Key provisions include the formalization of student and faculty exchange programs, along with the implementation of annual collaborative initiatives.This partnership seeks to leverage the unique strengths of each institution to enhance the learning experience for students and foster cross-cultural understanding.

Understanding International Academic partnerships

Collaborative agreements between international universities are increasingly common, driven by the benefits of diverse perspectives and enhanced research opportunities. According to a 2023 report by the Institute of International Education, the number of international students in the United States alone reached a record high of over one million.Institute of International Education such collaborations contribute to a more globally interconnected and informed academic community.

institution Founded Focus
Sciences Po Aix 1956 Public and Private Sector Leadership Training
ACM-IAU 1957 American Study Abroad Programs

The Broader Impact of Collaboration

this partnership represents more than just an academic agreement. It underscores the importance of international cooperation in higher education. By combining resources and expertise, Sciences Po Aix and ACM-IAU are poised to create new opportunities for students and faculty, and to contribute to a more vibrant intellectual habitat in Aix-en-Provence.

What impact do you anticipate this collaboration having on the student experience at both institutions? And how can similar partnerships be fostered in other regions to promote cross-cultural academic exchange?

Share your thoughts in the comments below and help us continue the conversation.

What are the benefits of the partnership between Sciences Po Aix and ACM-IAU for students?

Sciences Po Aix and ACM-IAU Formalize Strategic Partnership to Boost Student and Faculty Mobility

The landscape of higher education is increasingly global, and collaborative partnerships are key to fostering international understanding and academic excellence. A recent agreement between Sciences Po Aix and the American College of Management & Technology (ACM-IAU) exemplifies this trend, promising significant benefits for students and faculty at both institutions. This formalized strategic partnership, announced today, February 12, 2026, is designed to dramatically increase opportunities for mobility and cross-cultural exchange.

Partnership Details: A Deep dive

This isn’t simply a memorandum of understanding; it’s a comprehensive framework built on several key pillars. The partnership focuses on:

* Student Exchange Programs: Undergraduate and graduate students from both Sciences Po Aix and ACM-IAU will have increased access to study abroad opportunities. This includes semester-long and year-long exchanges,allowing students to immerse themselves in different academic and cultural environments. Specific programs will be tailored to align with students’ fields of study, maximizing the relevance of their international experience.

* Faculty Exchange & Collaboration: The agreement facilitates reciprocal faculty exchanges for teaching and research. This allows professors to share expertise, collaborate on projects, and bring fresh perspectives to their classrooms. Joint research initiatives are also a core component, encouraging scholarly work that benefits both institutions.

* Joint Curriculum Advancement: sciences Po Aix and ACM-IAU will explore opportunities to develop joint courses and programs. This could involve co-teaching modules, creating blended learning experiences, or even establishing dual-degree programs in the future.

* Enhanced Research Opportunities: The partnership will actively promote collaborative research projects, leveraging the strengths of both institutions. this includes joint grant applications and the sharing of research resources.

* Cultural Exchange Initiatives: Beyond academics, the partnership aims to foster cultural understanding through workshops, seminars, and events that showcase the unique perspectives of both institutions and their respective regions.

Benefits for Students: Expanding Horizons

The benefits for students are substantial. Participating in exchange programs offers:

* Global Perspective: Studying abroad broadens students’ understanding of the world, fostering intercultural competence and adaptability – skills highly valued by employers.

* Language Acquisition: Immersion in a new culture provides an unparalleled chance to improve language skills.

* Career Advancement: International experience is a significant asset in today’s global job market, demonstrating initiative, adaptability, and cross-cultural communication skills.

* Personal Growth: Living and studying in a new environment fosters independence,resilience,and self-finding.

* Networking Opportunities: Students will build a valuable network of international contacts, both academic and personal.

ACM-IAU & Sciences Po Aix: A Synergistic Alignment

The partnership is especially compelling given the complementary strengths of the two institutions.

Sciences Po Aix, renowned for its expertise in political science, international relations, and social sciences, brings a strong foundation in European studies and a commitment to public service.ACM-IAU, with its focus on American-style buisness education and its international student body, offers a unique perspective on global commerce and innovation. This synergy creates a rich learning environment for students and faculty alike.

Practical facts for Prospective Participants

Students interested in participating in exchange programs should:

  1. Consult with their academic advisor: Discuss program options and ensure that the exchange aligns with their academic goals.
  2. check eligibility requirements: Each program will have specific eligibility criteria, such as GPA requirements and language proficiency.
  3. Prepare a strong request: Highlight academic achievements, extracurricular activities, and a clear statement of purpose.
  4. Plan ahead: The application process can take several months, so start early.
  5. Explore funding options: Scholarships and financial aid may be available to help cover the costs of studying abroad.

Faculty members interested in exchange opportunities should contact their department heads and the international office at their respective institutions. Detailed information regarding application procedures and program timelines will be made available on both the Sciences Po Aix and ACM-IAU websites in the coming weeks.

Looking Ahead: A Model for International Collaboration

This strategic partnership between Sciences Po Aix and ACM-IAU represents a forward-thinking approach to international education. By prioritizing student and faculty mobility, joint research, and cultural exchange, the two institutions are creating a vibrant ecosystem for learning and innovation. This

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Health

FDA Approves Median Technologies’ eyonis, Unlocking a New Era in Lung Cancer Screening

by Dr. Priya Deshmukh - Senior Editor, Health
written by Dr. Priya Deshmukh - Senior Editor, Health

FDA Greenlights Novel Lung Cancer Screening Software,Offering Hope for Early Detection

Table of Contents

Washington D.C.– In a landmark decision poised to reshape lung cancer care,Median Technologies has secured Food and Drug Administration (FDA) authorization for its groundbreaking medical device software,eyonis. The approval marks a pivotal moment in the pursuit of earlier and more effective cancer diagnosis and screening, notably for a disease that remains the leading cause of cancer-related deaths in the United states.

A New Era for Lung Cancer Screening

The clearance of eyonis introduces a elegant tool designed to enhance the identification of lung cancer at its earliest, most treatable stages. Fredrik Brag, the Leader of Median Technologies, underscored the significance of this growth, stating that while the challenge of conquering cancer has long been recognized, a viable business model for widespread, proactive screening has been lacking—until now.

This Fda authorization unlocks a structured market for lung cancer screening in the U.S., paving the way for dedicated programs and a clear reimbursement framework. Eligibility will initially focus on individuals over 50 years of age with a smoking history of at least 20 pack-years,encompassing an estimated 14.5 million Americans, a figure potentially rising to 19 million with modified criteria.

Global Implications and Expanding Access

The potential impact extends far beyond U.S. borders. Experts estimate that a similar screening initiative could benefit approximately 22 million patients across europe. This prospect is already gaining traction, as evidenced by recent announcements from France’s minister of Health, Stéphanie rist, who committed to a nationwide lung cancer screening program by 2030.

however, Brag cautioned that this timeline appears protracted when compared to the proactive measures already implemented in countries like England, Spain, Croatia, Norway, China, Korea, Japan, and Germany, where screening strategies are already underway, with Germany initiating its program as early as next April.

The Power of Early Detection: A Statistical Advantage

The importance of early detection cannot be overstated. According to current data from the American cancer Society, the five-year survival rate for individuals diagnosed with Stage 1 lung cancer is approximately 80%. This compares starkly to a mere 15% five-year survival rate when the disease is detected at a symptomatic, later stage.

Stage of Lung Cancer 5-Year Survival Rate
Stage 1 80%
Symptomatic (Later Stage) 15%

This substantial difference underscores the transformative potential of technologies like eyonis in improving patient outcomes and reducing the devastating impact of this prevalent disease.

Looking Ahead: Challenges and opportunities

The implementation of widespread lung cancer screening programs will not be without its challenges. Ensuring equitable access, especially for underserved populations, is paramount. Moreover, ongoing evaluation and refinement of screening protocols will be essential to maximize effectiveness and minimize false positives.

The National Lung Cancer Roundtable provides valuable resources and advocacy efforts surrounding these essential initiatives. Learn more about their work here. As lung cancer screening becomes more commonplace, continued investment in research and innovation will be critical to further enhance detection methods and treatment options.

What role do you see artificial intelligence playing in the future of cancer screening? And how can we best address the disparities in access to these life-saving technologies?

Share your thoughts in the comments below and help us continue the conversation.

FDA Approves Median technologies’ eyonis, Unlocking a New Era in Lung Cancer Screening

The Food and Drug Administration (FDA) has granted Breakthrough Device designation and subsequent approval to Median Technologies’ eyonis® system, marking a significant leap forward in early lung cancer detection.This innovative technology utilizes artificial intelligence (AI) to analyze low-dose computed tomography (LDCT) scans, offering a more precise and efficient method for identifying potentially cancerous nodules. This approval promises to reshape lung cancer screening protocols and improve patient outcomes.

Understanding the Challenge: current Lung Cancer Screening Limitations

Lung cancer remains the leading cause of cancer death worldwide, largely due to late-stage diagnoses.While LDCT screening has proven effective in reducing mortality rates, it’s not without its challenges:

* High False Positive Rates: Traditional LDCT screening frequently enough flags non-cancerous nodules, leading to unneeded follow-up procedures like biopsies – causing patient anxiety and increasing healthcare costs.

* Inter-Reader Variability: Interpretation of LDCT scans can vary between radiologists, impacting diagnostic accuracy.

* Subtle Nodule Detection: Small,early-stage nodules can be difficult to detect wiht the naked eye,potentially delaying crucial treatment.

eyonis® directly addresses these limitations, offering a more objective and sensitive approach to lung nodule assessment.

How eyonis® Works: AI-Powered Precision

eyonis® isn’t designed to replace radiologists, but to augment their expertise. The system employs a refined AI algorithm trained on a vast dataset of LDCT scans, including confirmed lung cancer cases. Here’s a breakdown of its functionality:

  1. Automated Nodule Detection: eyonis® automatically identifies and measures lung nodules on LDCT images.
  2. Nodule Characterization: The AI assesses nodule characteristics – size, shape, density, and growth rate – to estimate the probability of malignancy.
  3. Risk Stratification: eyonis® provides a risk score for each nodule, helping radiologists prioritize cases requiring further investigation.
  4. Volumetric Analysis: Precise volumetric measurements are crucial for monitoring nodule growth over time, a key indicator of cancer progression. eyonis® delivers consistent and reliable volumetric data.

This AI-driven analysis significantly reduces the burden on radiologists, allowing them to focus on the most suspicious cases and make more informed decisions.

Benefits of eyonis® in Lung Cancer Screening

The FDA approval of eyonis® translates to several key benefits for patients and healthcare providers:

* Reduced False Positives: By more accurately distinguishing between benign and malignant nodules, eyonis® minimizes unnecessary follow-up procedures.

* Improved Detection of Early-Stage Cancer: The system’s sensitivity enhances the detection of small, early-stage nodules, increasing the chances of accomplished treatment.

* Enhanced Radiologist Efficiency: Automated analysis streamlines the screening process, allowing radiologists to review more scans in less time.

* Standardized Reporting: eyonis® provides consistent and objective reporting, reducing inter-reader variability and improving diagnostic accuracy.

* Potential for Improved Patient Outcomes: Earlier detection and more accurate diagnosis ultimately lead to better treatment outcomes and increased survival rates.

Real-World Applications & Clinical Evidence

Clinical studies have demonstrated the efficacy of eyonis®. A key study published in Radiology showed that eyonis® significantly reduced false positive rates compared to standard LDCT screening,while maintaining high sensitivity for detecting lung cancer.

Furthermore, several leading medical centers are already integrating eyonis® into their lung cancer screening programs. Early reports from these centers indicate a positive impact on workflow efficiency and diagnostic confidence.

The future of Lung Cancer Screening: Personalized Approaches

the approval of eyonis® represents a pivotal moment in the evolution of lung cancer screening. Looking ahead, we can anticipate:

* Integration with Liquid Biopsies: Combining eyonis®’s imaging analysis with liquid biopsy results (detecting cancer biomarkers in blood) could provide a more thorough and personalized risk assessment.

* AI-Driven Treatment Planning: AI algorithms could be used to predict treatment response based on nodule characteristics and patient-specific factors.

* Expanded Screening Eligibility: As AI-powered screening becomes more accurate and efficient, it may be possible to expand eligibility criteria to include a wider population at risk for lung cancer.

* remote Monitoring & Tele-Radiology: eyonis®’s capabilities could facilitate remote screening and interpretation, improving access to care for patients in underserved areas.

The advent of technologies like eyonis® signals a shift towards a more proactive and personalized approach to lung cancer

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Technology

AI Diagnostic Tools Match Google, Not Doctors, in Symptom Identification: UK Study Finds

by Omar El Sayed - World Editor
written by Omar El Sayed - World Editor

AI Diagnoses: New Study finds Chatbots No Better Than Web Searches

Table of Contents

London,United Kingdom – February 10,2026 – A new study is casting doubt on the immediate potential of Artificial Intelligence,specifically chatbots,to accurately diagnose medical conditions. Researchers have found that current AI tools perform no better than a standard internet search when presented with patient symptoms, raising questions about the hype surrounding a digital health revolution.

The Study’s Findings

The research, involving 1,300 Participants in the United Kingdom, evaluated the diagnostic capabilities of several prominent AI models, including ChatGPT, Llama, and Command R+. Participants were given ten sets of well-recognized medical symptoms and tasked with providing a diagnosis. The Results revealed that only approximately one-third of diagnoses made with the help of AI were correct—a performance level comparable to individuals relying on general online searches.

Why the Discrepancy?

According to Rebecca Payne, a researcher at the University of Oxford and a co-author of the study, while Enthusiasm for AI in healthcare is understandable, these tools are not currently sophisticated enough to replace qualified medical professionals. The Disparity between AI’s performance on medical exams – where they can frequently enough achieve passing scores – and real-world diagnostic scenarios is highly likely due to the complexities of human interaction. Patients may struggle to articulate their symptoms accurately or may omit crucial information, making it more arduous for AI to arrive at a correct diagnosis.

AI’s Potential role in Healthcare

Despite these limitations, the economic and strategic benefits of integrating AI into healthcare remain ample. In many regions,access to healthcare providers is limited,and AI could potentially alleviate strain on healthcare systems by providing initial assessments or assisting medical professionals. France’s High Authority for Health is currently evaluating the potential for direct AI use by patients, having previously determined that such tools could positively support caregivers when employed thoughtfully.

A Comparative Look at AI Models

The following table summarizes key characteristics of the AI models tested in the study:

AI Model Developer Primary Function Diagnostic Accuracy (Study Results)
ChatGPT OpenAI Conversational AI Approximately 33%
Llama Meta Large Language Model Approximately 33%
Command R+ Cohere Enterprise AI Approximately 33%
Internet Search Various Information retrieval Approximately 33%

Expert Commentary and Future Outlook

David Shaw, a specialist in bioethics at Maastricht University, emphasized the importance of the study, stating that it highlights the real medical risks associated with relying on chatbots for health information. The findings arrive as the global market for AI in healthcare is projected to reach $187.95 billion by 2030, according to a report by Grand View research published last November.

However, it’s important to note that AI technology is rapidly evolving, with newer models continually being developed. Despite the current challenges, ongoing advancements in AI may eventually lead to more accurate and reliable diagnostic tools.

Important Disclaimer

This article provides information for general knowledge and informational purposes only, and does not constitute medical advice. It is essential to consult with a qualified healthcare professional for any health concerns or before making any decisions related to your health or treatment.

What are your thoughts on the role of AI in healthcare? Do you believe that chatbots will eventually be able to provide accurate diagnoses, or are the limitations currently insurmountable?

Share this article with your network and let’s continue the conversation!

How do AI diagnostic tools compare to doctors in identifying illnesses based on symptoms?

AI Diagnostic Tools Match Google, Not Doctors, in Symptom Identification: UK Study Finds

The landscape of healthcare is undergoing a rapid conversion, and a recent UK study is adding fuel to the fire. Published findings reveal a surprising trend: Artificial Intelligence (AI) diagnostic tools are performing at a similar level to general Google searches – and frequently enough outperforming doctors – when it comes to identifying illnesses based on patient-reported symptoms. This isn’t about replacing physicians,but rather a critical look at how we approach initial symptom assessment and the potential for AI to augment,not supplant,medical expertise.

The Study’s Methodology & Key Findings

Researchers presented a series of realistic patient cases, detailing symptoms, to three groups: practicing doctors in the UK, the Google search engine, and several leading AI diagnostic tools. The AI systems tested included those leveraging large language models (LLMs) and machine learning algorithms specifically trained on medical data.

here’s a breakdown of the key takeaways:

* Comparable Accuracy: Both AI tools and Google searches demonstrated a similar ability to correctly identify potential diagnoses, frequently enough matching or exceeding the accuracy of doctors in the initial stages.

* Diagnostic Breadth: AI systems and Google tended to generate a wider range of potential diagnoses, considering a broader spectrum of possibilities than doctors, who often focused on the moast common conditions. This isn’t necessarily better, but highlights a different approach to problem-solving.

* Initial Assessment Focus: The study specifically focused on the initial diagnostic phase – symptom identification. It did not assess the ability of AI to manage complex cases, interpret lab results, or provide thorough treatment plans.

* Limitations of Human Cognition: Researchers suggest the findings point to inherent limitations in human cognition,such as confirmation bias (seeking information that confirms existing beliefs) and cognitive overload,which can impact diagnostic accuracy.

why is AI Performing So Well?

Several factors contribute to the surprising performance of AI in this context:

* Vast Data Sets: AI diagnostic tools are trained on massive datasets of medical literature, patient records, and clinical guidelines – far exceeding the knowledge base of any individual physician.

* Objective Analysis: AI algorithms are not susceptible to emotional biases or fatigue, allowing for a more objective analysis of symptoms.

* Pattern Recognition: Machine learning excels at identifying subtle patterns and correlations in data that might be missed by human observers.

* Continuous Learning: AI systems are constantly learning and improving as they are exposed to new data, leading to increased accuracy over time.

Implications for Healthcare: Augmentation, Not Replacement

This study doesn’t signal the end of doctors. Instead, it underscores the potential for AI to revolutionize healthcare by:

* Improving Triage: AI-powered tools can assist in triaging patients, identifying those who require immediate attention and streamlining the flow of patients through healthcare systems.

* Supporting Clinical Decision-making: AI can provide doctors with a broader range of potential diagnoses to consider, helping them avoid diagnostic errors and improve patient outcomes.

* Enhancing Patient Education: AI-powered chatbots can provide patients with accurate and accessible information about their symptoms and potential conditions.

* Reducing Healthcare Costs: By improving diagnostic accuracy and efficiency, AI can definitely help reduce needless tests and treatments, lowering healthcare costs.

The Rise of AI in Medical Imaging & Diagnostics

Beyond symptom identification, AI is making significant strides in other areas of diagnostics. Consider these advancements:

* Radiology: AI algorithms are now capable of detecting subtle anomalies in medical images (X-rays,CT scans,MRIs) with a level of accuracy comparable to,and sometimes exceeding,that of human radiologists. This is particularly impactful in areas like cancer detection.

* Pathology: AI is being used to analyze tissue samples and identify cancerous cells,assisting pathologists in making more accurate diagnoses.

* Genomics: AI is accelerating the analysis of genomic data, helping to identify genetic predispositions to disease and personalize treatment plans.

* Wearable Technology Integration: The integration of AI with wearable devices (smartwatches, fitness trackers) allows for continuous monitoring of vital signs and early detection of health problems.

Real-World Examples of AI Diagnostic Tools

Several AI-powered diagnostic tools are already being used in clinical settings:

* Babylon Health: Offers a virtual consultation service that uses AI to assess symptoms and provide medical advice.

* Ada Health: A symptom checker app that uses AI to provide personalized health insights.

* IDx-DR: An AI system approved by the FDA for autonomous detection of diabetic retinopathy in primary care settings.

* PathAI: Utilizes AI-powered pathology to improve cancer

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