Latest Insights & Research

Stay informed with the latest public health research, insights, and evidence-based analysis from our team of experts.

Policy

Public Health Policy Evaluation with Machine Learning

How do we know if public health policies are truly effective? Whether it’s a campaign to reduce smoking, an initiative to improve maternal health, or a program to curb the spread of infectious diseases, measuring the success of these policies is crucial. Traditionally, policymakers have relied on well-established statistical methods to assess impact, but these […]

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Climate

Building Smarter Cities with AI and Low-Carbon Materials: A Blueprint for Public Health and Sustainability

Imagine walking through a city where the buildings breathe cleaner air, energy flows efficiently, and healthcare feels tailored just for you. This isn’t a sci-fi dream—it’s a vision rooted in emerging technologies that combine artificial intelligence (AI), low-carbon building materials, and smart city design. Recent research reveals that these innovations can revolutionize how we live, […]

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Policy

How Data Science Sheds Light on Public Health Policy Failures

Tmagine is trying to piece together the story of a historic crisis using only a box of unorganized photos. Each image offers a fragment of the story, but connecting the dots seems impossible. This was the challenge researchers faced when they sought to understand the decision-making behind the Flint Water Crisis—a public health disaster that […]

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Health equity

How Racial Bias in Lab Testing Impacts AI in Healthcare

Artificial intelligence (AI) is transforming healthcare, but what happens when the data feeding these powerful tools carries the weight of systemic inequities? A recent study highlights how racial disparities in emergency department (ED) laboratory testing could reinforce biases in AI models, potentially widening the health equity gap. If you’re working to make healthcare more just, […]

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AI

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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AI

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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Mental health

Explainable AI for Mental Health Detection: Illuminating the Path Forward

Artificial Intelligence (AI) is unlocking new frontiers in healthcare, particularly for mental health detection. As social media increasingly becomes a reflection of our inner worlds, researchers are harnessing its data to spot early signs of mental health conditions. This emerging field, known as Mental Illness Detection and Analysis on Social media (MIDAS), uses Natural Language […]

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Developmental disorders

Early Autism Diagnosis via Machine Learning

Autism Spectrum Disorder (ASD) presents unique challenges and nuances, affecting millions worldwide. It is characterized by a broad range of conditions manifested by challenges with social skills, repetitive behaviors, speech, and nonverbal communication. The diversity of symptoms often makes early diagnosis complex and elusive. However, a new study offers hope by leveraging the power of […]

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AI

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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AI

Embracing a New Era in Global Digital Health: Innovations Beyond Profits

In the world of public health, a new frontier is being charted. “Rethinking global digital health and AI-for-health innovation challenges,” a thought-provoking article published in PLOS Global Public Health, sheds light on this transformative journey. At its core, this article by Farlow et al. proposes a radical shift in how we approach digital health technologies […]

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