26th June 2026, Friday

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HealthTech News

  • New tool helps uncover rare genetic mutations in common diseases, including Parkinson’s
    on June 26, 2026 at 4:20 pm

    Studies of genetics conducted in yeast cells, human neurons, mice or other model systems often reveal networks of genes that could contribute to complex diseases, such as breast cancer, type 2 diabetes and Parkinson’s disease. But those findings don’t always translate to human biology. Human genetics offers a path to determining which genes among those networks are most relevant to human disease.

  • Faster aging, chronic disease linked to WTC responders with PTSD
    on June 26, 2026 at 4:00 pm

    Post-traumatic stress disorder (PTSD) remains a common condition affecting World Trade Center (WTC) responders 25 years after the attack on the Twin Towers. While the condition is considered mainly psychological, a new study sheds light on changes in the biological processes of WTC patients with PTSD that may explain why PTSD is associated with a variety of chronic diseases that ultimately contribute to aging.

  • Ebola deaths exceed 300 in DR Congo: Heath authorities
    on June 26, 2026 at 3:40 pm

    The Ebola epidemic has claimed more than 300 lives in the Democratic Republic of Congo (DRC), a little more than one month after it was declared, health authorities said Friday.

  • GenAI overcomes slide misalignment to produce virtual stains close to real slides
    on June 26, 2026 at 3:40 pm

    Histopathology is a cornerstone of clinical diagnosis, especially in cancer care. However, conventional chemical staining is often time-consuming and labor-intensive and may consume precious tissue samples.

  • Some patient groups are far more vulnerable to near-perfect privacy attacks from medical AI
    on June 26, 2026 at 3:20 pm

    From detecting pneumonia on a chest X-ray to assessing whether a dark spot on the skin is benign or malignant, medical AI systems are playing an increasingly important role in clinical diagnosis. Unfortunately, the models used to train these AI systems are often victims of cyberattacks, specifically membership inference attacks (MIAs), which can lead to people’s personal information being stolen or revealed.