Abstract: A method is provided for predicting material properties of a part to be additive-manufactured. The method comprises additive-manufacturing a plurality of standard parts, and obtaining thermal profiles at select predetermined locations of physical samples of the plurality of standard parts during additive-manufacturing of the plurality of standard parts. The method also comprises storing the thermal profiles and corresponding material properties of the physical samples of the plurality of standard parts in a database. The method further comprises running a machine-learning algorithm to predict material properties of the part to be additive-manufactured based upon the thermal profiles and corresponding material properties of the physical samples of the plurality of standard parts stored in the database.

Abstract: A system for implanting surgical material in a patient's body is disclosed. The system comprises a two-dimensional (2D) laser cutter network comprising a 2D laser cutter and a processor. The processor is configured to perform the steps of capturing an image of an open area of a patient's body and processing a drug implant substrate to create a customized drug implant substrate. The customized drug implant may be created based on the captured image to correspond with the open area of the patient's body. The drug implant substrate is shaped using the 2D laser cutter. The processor is further configured to perform the steps of placing the customized drug implant substrate in the open area of the patient's body and sealing the open area after placing the customized drug implant substrate in the open area.

Abstract: The disclosed technology provides for printing a 3D structure in-situ within a patient during a surgical procedure. The disclosed technology can include generating instructions for a 3D printer of a surgical robot to print a structure within the patient's body, simulating and verifying the instructions, and autonomously or semi-autonomously executing the instructions, once verified, during a surgical procedure. Generating the instructions for printing the 3D structure within the patient can be based on image data of the patient. Generating the instructions can also include selecting substrate materials that are both safe for the patient and having desired properties of the final printed structure. Modifications can be made to the instructions based on results from the simulation. The disclosed technology provides for application of safe substrate material directly to hard and/or soft tissues within the patient's body via an additive manufacturing process, such as 3D printing.

Abstract: A method of treating or preventing a microbial infection in a subject is described. The method includes contacting a microorganism within the subject with a composition comprising one or more species of amoebae of the genus Willaertia. Antibiotic wound dressings and kits for providing amoeba for treatment or prevention of microbial infection in a subject are also described.

Abstract: A method of treating or preventing a microbial infection in a subject is described. The method includes contacting a microorganism within the subject with a composition comprising one or more species of amoebae of the genus Willaertia. Antibiotic wound dressings and kits for providing amoeba for treatment or prevention of microbial infection in a subject are also described.