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Results 21 - 29 of 29 for child health. (2.69 seconds)
  • Sperm-filtering tool picks best swimmers

    A new sperm-sorting device built at Stanford filters the unfit from the fit and could help improve infertility treatments.

  • Data sifting finds hidden gene partnerships

    Targeting backup biological pathways often used by cancers can lead to more efficient drug development and less-toxic therapies. Stanford researchers have developed a new way to identify these pathways.

  • How accurate are fitness devices?

    A Stanford inquiry into the accuracy of seven wristband activity monitors showed that six out of seven devices measured heart rate within 5 percent. None, however, measured energy expenditure well.

  • Crowdsourcing autism data

    Many areas across the globe have few autism experts, leading to delayed care for kids who live there. Stanford scientists have launched a crowdsourcing project to pinpoint such geographic gaps, and find ways to fill them.

  • Wearable monitor can diagnose disease

    A wearable sensor developed by Stanford researchers can diagnose diseases by measuring molecular constituents of sweat, such as chloride ions and glucose.

  • 3-D bladder reconstruction

    Researchers used advanced computer imaging technology to create a three-dimensional computer reconstruction of a patient’s bladder. The technique, which works on any hollow organ, could help doctors locate tumors or other disorders and prepare for surgery.

  • Algorithm can identify skin cancer

    In the hope of creating better access to medical care, Stanford researchers have trained an algorithm to diagnose skin cancer.

  • Tracking child nutrition in Guatemala

    A Stanford team has created a “nutrition surveillance” app that could help boost nutrition for children in some of the world’s poorest and most remote regions.

  • Precision data means diverse data

    Speakers at Stanford’s annual big data conference said the success of precision health depends on data that reflects the global diversity of humans, the well and the unwell, and a rainbow of data from genomes, microbiomes and tissue samples.