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Public Health News Round Up, June 6, 2025

Hey, so what are we about? Every day, This Week in Public Health brings you the most important research, policy updates, and innovations shaping the field. We curate peer-reviewed studies, translate complex findings into clear, actionable insights, and highlight emerging trends so public health professionals—and anyone who cares about community well-being—stay informed. Our goal is […]

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The Economic Case for AI-Driven Diagnoses of Rare Diseases

Imagine facing a health issue so elusive that it takes years—even decades—to diagnose. Meanwhile, your work performance suffers, your income dwindles, and your quality of life declines. For millions of people with rare diseases, this isn’t just a nightmare scenario; it’s their daily reality. Rare diseases, affecting fewer than 5 in 10,000 people in Europe […]

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Generative AI in Healthcare: A Double-Edged Sword

In recent years, generative artificial intelligence (GenAI) has taken the world by storm, and its applications in healthcare have both fascinated and alarmed researchers, practitioners, and ethicists alike. From tools like ChatGPT generating human-like text to AI synthesizing medical images, the potential benefits seem endless. But as with any powerful tool, the rapid rise of […]

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How Tech Companies Can Boost Public Health and Profits

Technology touches every aspect of our lives—how we eat, sleep, move, and even think. From rideshare apps to streaming platforms, these tools have become integral to our daily routines. But what if the same technology that keeps us glued to our screens could also be designed to make us healthier? A recent study explored this […]

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Predicting Opioid Misuse: A New Hope for Early Intervention

Imagine a world where healthcare providers could predict opioid misuse before it even starts, potentially saving thousands of lives. In the United States alone, nearly 10 million people misuse opioids each year, leading to devastating consequences such as addiction and even death. Despite efforts to curb the opioid crisis, overdose rates have continued to climb, […]

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A [short] conversation with Per Nilsen

Dr. Per Nilsen is a distinguished professor specializing in implementation science, a rapidly growing interdisciplinary field focused on bridging the gap between research and practice. As a member of the Department of Health, Medicine and Caring Sciences at Linköping University, he leads the Division of Society and Health. Dr. Nilsen has been instrumental in developing […]

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Will AI Revolutionize Healthcare?

Imagine a world where doctors can access the latest research instantly, avoid human errors, and offer more personalized care to each patient. Thanks to the revolutionary integration of artificial intelligence (AI), this isn’t a scene from a science fiction movie but a glimpse into the future of healthcare. In the world of medicine, decisions are […]

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How Artificial Intelligence is Revolutionizing Online Therapy

Mental health challenges affect millions, yet many face barriers to accessing care. The COVID-19 pandemic amplified these obstacles, urging the medical community to seek innovative, scalable solutions. One promising frontier? Artificial intelligence (AI). A recent comprehensive study synthesized existing research on how AI is enhancing online mental health care, specifically in addressing adherence issues and […]

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How AI Discovers Boredom’s Role in Suicide Risk

Suicide remains one of the most significant public health challenges of our times. Despite decades of research, the underlying triggers of suicide are not fully understood, partly because traditional studies have circled around the same risk factors for over 50 years. However, new study now casts light on an unexpected contributor to suicide risk: boredom. […]

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Unraveling the Enigma of AI Bias in Healthcare: A Call to Action for Public Health Practitioners

The emergence of artificial intelligence (AI) in healthcare promises a revolution in patient care and treatment outcomes. However, the insightful article Bias in artificial intelligence algorithms and recommendations for mitigation, highlights a critical issue: the inherent bias in AI algorithms. This piece aims to dissect the complex layers of this bias and its implications for […]

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