Before a patient walks in for their scan, someone makes sure the machine is ready by checking calibrations, testing components, and catching small issues before they become big problems. That's what preventive maintenance is really about. It's not flashy. But it's absolutely critical. We recently did exactly that. A full preventive maintenance check on a CT scanner.

Missing measurements cost more than you think. Went on a hospital site inspection with a senior engineer and a PM. Biggest takeaways: 📐 Plan equipment size, placement and power needs BEFORE civil work starts 📝 Document everything Biomedical engineering is also project management. 🏥

$200K goal: reached ✨ @NootropicsDAO_ Ignition Sale on @BioProtocol just crossed the line after 14 days. The raise is complete. Currently on 1.2X oversubscribed. AI that traces a molecule from binding to brain systems Now the build begins.

Completed @SiemensHealth's online training on Computed Tomography Scan (CT Scan) hardware. Then took it further with hands-on training. Because reading about hardware and touching it are two different things. Grateful for the growth. 🩻⚙️

Bio has gone quiet on Ignition Sales. Next week that changes. NeuroLab AI from @NootropicsDAO_ predicts how any compound hits the brain. - Cognition. - Side effects. - Which ideas actually deserve lab time. The sale window is 15 to 17 September on @BioProtocol Pledge BioXP plus USDC on @base. Read the project page: app.bio.xyz/agents/neurolab-…

Just joined the waitlist! 2 days left to join.

Doctors already use MRI to see a brain tumor. The hard part is drawing the tumor on the images, slice by slice. To break down what's happening here is that a 3D model studied MRI scans from 300 real people. Then it was shown 60 new scans it had never seen and asked to mark the tumor areas. The software guesses where the dead core is, where the swelling is, and where the active tumor is. A doctor can then check and fix the map instead of starting from a blank scan. These are but a few ways AI has been implemented in the medical imaging field. In real clinics, tools like this only help if a human still reviews them.

One thing I'm learning in medical imaging is that the scan itself is only part on the story. Spent part of the week testing a CT injector before it goes into use. It's what pushes contrast dye into a patient during a CT scan so doctors can actually see soft tissue, blood vessels and tumors clearly. Get the pressure or timing wrong and the whole scan is useless. The image quality suffers along with the diagnosis. It's easy to focus on the big machines, the MRI, the CT scanner itself and forget about the smaller components working alongside them.