Technology

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Mayo Clinic AI helps specialists detect pancreatic cancer up to 3 years before diagnosis in landmark validation study
A Mayo Clinic-developed artificial intelligence (AI) model can help specialists detect pancreatic cancer on routine abdominal CT scans up to three years before clinical diagnosis. Read More.
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Toilet tech is the next frontier of health data — but it might mean putting a camera on your bowl
The average person spends 416 days of their life in the bathroom — and the latest trend in digital health wants to make sure that time isn’t going down the drain. Read More.
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The One Type of Workout Andrew Huberman Says You Cannot Skip
Neuroscientist Andrew Huberman has been blunt about it: if you are not doing some kind of resistance training, you are signing up for weaker muscles, worse posture, and a slower metabolism as you age. Read More.
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Century-old cleaning ingredient linked to increased risk of Parkinson's disease
Trichloroethylene, a known human carcinogen and chemical formerly used in a wide variety of everyday household products, has been linked to a 500% increase in risk of developing Parkinson's disease, according to SciTechDaily. Read More.
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One Blood Type Appears to Carry a Higher Risk of Type 2 Diabetes
People with blood type B may need to be a little more vigilant than their peers about the lifestyle factors associated with diabetes risk. Read More.
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AI tool predicts Alzheimer’s disease with nearly 93% accuracy using brain scans
Researchers have developed a machine-learning model that analyzes MRI brain scans to detect Alzheimer’s disease, achieving 92.87% accuracy in distinguishing mild cognitive impairment or Alzheimer’s. Read More.
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Scientists create a cancer flashlight that lights up tumors
A new “glowing antibody” could help doctors spot the right cancers—and the right treatments—much faster. Read More.
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How the body really ages: 7 million cells mapped across 21 organs
Scientists have built a massive cellular atlas showing how aging reshapes the body across 21 organs. Studying nearly 7 million cells, they found that aging starts earlier than expected and unfolds in a coordinated way throughout the body. About a quarter of cell types change in number over time, and many of these shifts differ between males and females. The research also highlights shared genetic “hotspots” that could become targets for anti-aging therapies. Read More.
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AI could help us more accurately screen for breast cancer – new research
At least 20,000 Australian women are diagnosed with breast cancer each year. And more than 3,300 die from the disease. Read More.
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Cardiologist says wearable tech can help patients, doctors collect useful information
Dr. Daniel Snavely, a cardiologist with Valley Health, says he was skeptical about wearable health-monitoring technology when it started gaining popularity about 10 years ago. Read More.
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AI platform and blood test may better predict diabetes risk
A study discussed an AI model capable of identifying people at a high risk of both diabetes and death from cardiovascular disease more effectively than the HbA1c test. Read More.
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Man Gets Clean Bill of Health From Super-Expensive MRI Scan, Then Gets Horrible News
A 35-year-old New York City man paid about $2,500 for a whole body magnetic resonance imaging (MRI) scan that came up healthy — but then suffered a massive stroke less than a year later that the expensive procedure flagged no sign of, The Washington Post reports. Read More.
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This New Capsule Sends a Signal From Inside Your Stomach, And Then Disappears
MIT engineers have designed a new capsule that communicates wirelessly from the stomach after ingestion, using biodegradable materials to transmit a confirmation signal. The innovation aims to tackle the costly and deadly problem of medication non-adherence without leaving permanent devices inside the body. Read More.
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New AI model predicts disease risk while you sleep
Stanford Medicine scientists and their colleagues created the first artificial intelligence model that can predict more than 100 health conditions from one night’s sleep. Read More.
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Your fitness app could be making you feel ashamed
Experts from University College London and Loughborough University used artificial intelligence to analyse tens of thousands of social media posts on X. Read More.
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