Now you can build your own low-cost 3-D bioprinter by modifying a standard commercial desktop 3-D printer for under $500 — thanks to an open-source “LVE 3-D” design developed by Carnegie Mellon University (CMU) researchers. CMU provides detailed instructional videos.
You can print artificial human tissue scaffolds on a larger scale (entire human heart) and at higher resolution and quality, the researchers say. Most 3-D bioprinters start between $10K and $20K, and commercial 3D printers cost up to $200,000 and are typically proprietary machines, closed source, and difficult to modify.
AI-enhanced medical imaging technique reduces radiation doses, MRI times
Massachusetts General Hospital (MGH) researchers have developed a machine-learning-based technique that enables clinicians to acquire higher-quality images without the increased radiation dose — from acquiring additional data from computed tomography (CT) or positron emission tomography (PET) — or the uncomfortably long scan times needed for magnetic resonance imaging (MRI).
The new AUTOMAP (automated transform by manifold approximation) deep-learning technique avoids radiologists having to tweak manual settings to overcome imperfections in raw data.
The technique could also help radiologists make real-time decisions about imaging protocols while the patient is in the scanner (image reconstruction time is just tens of milliseconds), thanks to AI algorithms running on graphical processing units (GPUs). — MGH Athinoula A. Martinos Center for Biomedical Imaging, Nature.