In the world of *Star Trek*, fans are familiar with the iconic medical Tricorder—a handheld device that allows doctors to quickly and accurately diagnose a patient’s condition, replacing traditional tools like stethoscopes, blood pressure cuffs, and lab tests. This futuristic gadget can capture all necessary health data in seconds. While it may seem like science fiction, the reality is closer than you think. Thanks to advancements in **3D printing**, scientists are bringing this vision to life.
Recently, a team of engineers at Johns Hopkins University, led by Dr. Gene Fridman, an assistant professor of biomedical engineering, have developed a groundbreaking 3D-printed device capable of measuring a patient’s key vital signs in just seconds. The device features a thumb pad and a mouthpiece that work together to collect data on blood pressure, oxygen levels, heart rate, body temperature, and more. The thumb pad includes a miniature pulse oximeter to measure blood oxygen, while the mouthpiece uses advanced algorithms and multiple sensors to assess other critical health metrics.
This innovative project has led to the creation of a startup called Multisensor Diagnostics, which named their device *MouthLab*. Although still in the prototype phase, many of its components have already been 3D printed, significantly reducing development time and costs.
Dr. Fridman described the potential impact of the device: “We think this will be the ‘check engine’ light for the human body. It can be used at home or on the spot, without the need for special training. It can gather more data than ambulances, emergency rooms, or even a doctor’s office during a typical medical evaluation.â€
The team’s current goal is to make the device so simple that users only need to breathe normally for 10 seconds to get a full readout of their vital signs. The final product will display the collected data on a built-in screen and also transmit it to a laptop or cloud platform for further analysis.
Fridman added, “MouthLab empowers people without medical training to make better-informed decisions about their health. It has the potential to improve healthcare in underdeveloped areas, reduce emergency cases, and enable earlier disease detection.â€
With continued development, this technology could revolutionize how we monitor our health—making personalized, real-time diagnostics more accessible and efficient than ever before.
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