Abstract: Disclosed herein is an isolated strain of Lactobacillus amylovorus LAM1345, which is deposited at Deutsche Sammlung von Mikroorganismen and Zellkulturen GmbH under an accession number DSM 33510. Also disclosed herein are a composition including the isolated strain of Lactobacillus amylovorus LAM1345 for reducing trimethylamine (TMA) and/or trimethylamine-n-oxide (TMAO) levels, and use of the isolated strain of Lactobacillus amylovorus LAM1345 for treating a disease associated with at least an elevated one of TMA and TMAO levels in a subject.

Abstract: Disclosed are an expression cassette for isopropanol production, a recombinant vector for isopropanol production expression cassette, a including the recombinant microorganism for isopropanol production into which the vector is introduced, and a method of producing isopropanol using the recombinant microorganism. The recombinant microorganism in which a succinic acid bypass metabolic pathway is introduced to an isopropanol production pathway has very high ability to produce isopropanol. The recombinant microorganism is capable of producing isopropanol in an amount corresponding to about 100 times the maximum amount of isopropanol that is produced using known Corynebacterium glutamicum, and thus can effectively produce isopropanol and can be useful in various industrial fields where isopropanol is utilized.

Abstract: The present invention provides engineered leucine decarboxylase (LDC) polypeptides and compositions thereof, as well as polynucleotides encoding the engineered leucine decarboxylase (LDC) polypeptides. In some embodiments, the engineered LDC polypeptides are optimized to provide enhanced catalytic activity, as well as reduced sensitivity to proteolysis, and/or increased tolerance to low pH environments. In some embodiments, the engineered LDC polypeptides are optimized to provide improved storage stability. The present invention also provides methods for the use of the compositions comprising the engineered LDC polypeptides for therapeutic and industrial purposes.

Abstract: Methods enabling prediction, screening, early diagnosis, and recommended intervention or treatment selection of autoimmune conditions using artificial intelligence operating in conjunction with large medical datasets. Logic is applied to historic population data to extract medical features and identify subjects with diagnosed autoimmune conditions, and the pre-diagnosis medical data is used to train a diagnosis classification algorithm. A self-supervised learning mechanism is separately used to generate a feature embedding transformation of the patients medical history into representational feature vectors. These patient feature vectors together with their expected diagnoses are used to train a multi-label classifier model using supervised learning. The embedding transformation and the multi-label classifier are then applied to a current subjects data to generate a patient diagnosis probability vector, predicting the existence of autoimmune conditions.

Abstract: Aspects of the present invention relate to facilitating remote expert consultation using a web site that provides for video conferencing between clients and experts who are have been vetted through registration in the system. Some aspects relate to transmission of correlated physiological characteristic data simultaneously with a video conference. Some aspects relate to control of conferencing functions through client and expert web pages.

Abstract: Techniques described herein relate to training and executing machine learning models configured to determine injury probabilities based on vehicle accident data. In some cases, a decision tree model may be constructed including various branching criteria based on particular vehicle accident data and injury ground truth data, including leaf nodes storing corresponding injury probabilities. A model execution component may execute the trained models to determine the probability of potential injuries associated with vehicle accidents. Based on the potential injury probabilities, a vehicle accident analysis system may identify target computer systems and/or target processes to be initiated on the target systems, based on the injury probabilities. In some example, the model execution architecture may be implemented using an event-driven system and/or cloud-based data storage and services to receive, store, and process data events associated with individual vehicle accidents.

Abstract: A system provides artificial intelligence health support for people. The system renders specific, targeted treatments for people by using a flow engine and a conversational service to call one or more conversational modules. The treatments for the people may be tracked. The flow engine and/or one or more of the modules may include different instructions to perform for different programs and/or goals that have been configured. The flow engine and/or one or more of the conversational modules may also include instructions to perform when certain features are active (which may be activated when certain programs and/or goals are configured), when data regarding activity for people are received, and so on. Other modules may be dedicated to particular programs and/or goals. Some modules may determine whether or not to perform various instructions repetitiously, and/or may determine to do so when a priority of a previous instruction is below a threshold.

Abstract: A rehabilitation planning apparatus, a rehabilitation planning system, a rehabilitation planning method, and a program capable of efficiently creating a rehabilitation plan are provided. A rehabilitation planning apparatus (1) includes a rehabilitation pattern selection unit (2), an ability value prediction unit (3) that predicts a physical ability value after a target patient performs rehabilitation indicated in a selected rehabilitation pattern, a repetition control unit (4) that performs control so that the selection by the rehabilitation pattern selection unit (2) and the prediction by the ability value prediction unit (3) are repeated, and a determination unit (5) that determines a rehabilitation pattern for, among combinations of rehabilitation patterns and physical ability values obtained through the repetition of the selection and the prediction, a combination of which the physical ability value satisfies a predetermined condition as a rehabilitation plan for the target patient.

Abstract: Provided is a novel technique for reducing damage and death of microbial cells through a method for producing highly viable dried microbial cells, the method being characterized by subjecting dried microbial cells to an alternating temperature treatment.

Abstract: Described herein are platforms for use in targeted therapy development for an individual or group of individuals. Targeted therapy development as described herein comprises developing a therapeutic or therapeutic modality that is specific to or customized to an individual or group of individuals.

Abstract: It is an object of an aspect of the present invention to provide (i) transformants, whose proliferation depends on phosphite, of various species of organism and (ii) a method for detecting the presence of a reduced phosphorous compound with use of such a transformant. Use is made of a transformant which is defective in functions of a gene encoding a phosphate transporter protein and a gene encoding a phosphate ester transporter protein and into which a gene encoding a hypophosphite transporter protein is introduced, a signal peptide of a hypophosphite binding protein being substituted with a signal peptide derived from a host or a species of organism closely related to the host.

Abstract: Embodiments herein describe tracking the use of medical devices to update their remaining life. In addition to tracking the remaining life of the overall device, the embodiments herein can track the remaining life of each component which may be greater than the life of the medical device. Unlike typical modular devices which are replaced after they break or exceed their expected life, one-time use (or limited use) medical devices may be limited to use by a specific patient before they are discarded. The embodiments herein can use communication between healthcare providers and a tracker database to track the usage of a medical device and update the remaining life of its components to identify components that can be recycled after the medical device is no longer being used.

Abstract: A system for constitutional analysis using objective functions includes a computing device configured to generate a ranked list of diseases, by determining a plurality of disease impact score vectors for plurality of diseases, and generating and optimizing a first objective function of the impact score vectors, to receive, from a user, a plurality of user physiological history data, to identify, as a function of a disease state classifier, a plurality of disease states associated with the plurality of user physiological history data, to match at least a disease state of the plurality of disease states to the ranked list of diseases, and to generate a curative habitual pattern to alleviate the at least a disease state by combining intervention elements to form a curative habitual pattern candidates, calculating a curative impact score of each curative habitual pattern candidate, and selecting the curative habitual pattern using the curative impact score.

Abstract: Medical services are offered by various facilities near a patient's residence. The number of facility options continues to grow and the patients can now receive various different health care services. One example method of operation provides receiving updated patient information at a patient profile server, identifying a patient medical profile stored in memory associated with the updated patient information, and updating a patient status based on the updated patient information received, and modifying a patient schedule associated with the at least one patient status and storing the patient schedule in the patient medical profile.

Abstract: Systems/techniques that facilitate customized exceptions for intelligent protocoling are provided. In various embodiments, a system can access a data candidate associated with a medical patient. In various aspects, the system can execute a trained machine learning model on the data candidate, thereby identifying a first medical imaging protocol to be performed by a medical imaging scanner on the medical patient. In various instances, the system can determine whether the data candidate triggers a conditional protocol exception, wherein the conditional protocol exception identifies a second medical imaging protocol that is to be implemented when a condition is satisfied by the data candidate. In various cases, the system can, in response to determining that the data candidate satisfies the condition, select the second medical imaging protocol to be performed by the medical imaging scanner on the medical patient instead of selecting the first medical imaging protocol.

Abstract: The present invention provides a mutant strain of Corynebacterium glutamicum with efficient expression of exogenous proteins, which can solve the technical problem of low protein expression quantity of using Corynebacterium glutamicum as an exogenous protein expression host. The mutant strain of Corynebacterium glutamicum is deposited in the China General Microbiological Culture Collection Center (CGMCC), and the deposit number is CGMCC No. 20138. The mutant strain of Corynebacterium glutamicum in the present invention, verified by the expression of exogenous proteins, shows a significantly enhanced expression of both intracellular and secreted proteins when compared with its initial strain.

Abstract: Examples described herein any include a surgical module for use within the surgical system. The surgical module may include a first port connected to a surgical hub; a second port connected to an additional surgical module; and a controller. The controller may be configured to receive surgical data; determine if the surgical data is a first type of data or a second type of data; and instruct the surgical module to send the surgical data to the first port if the surgical data is the first type of data or to the second port if the surgical data is the second type of data.

Abstract: The present invention relates to a compound for use in detecting “reader” and “eraser” proteins of lysine lipoylation. The present invention provides an affinity-based probe, referred to herein as “KPlip”, capable of interrogating the lipoylated peptide/protein interactions under native cellular environments. The chemical probe allows for the identification of potential regulators of lysine lipoylation, thus uncovering new biology related to lipoylation. There is also provided a method of using the compound to identifying proteins that interact with lipoylated proteins.

Abstract: Disclosed is a method for measuring activated partial thromboplastin time, the method comprising: mixing: a blood sample; a first reagent comprising an ellagic acid compound and a compound represented by Formula (I); and a second regent comprising a calcium ion; and measuring activated partial thromboplastin time using the mixture prepared in the mixing step, wherein the compound represented by Formula (I) is shown below wherein X is a hydrogen atom, —(C?O)—Y, or —(C?O)—OZ, Y is a hydroxyl group, a hydrogen atom, a linear or branched alkyl group having a carbon number of 1 or more and 6 or less, or a phenyl group, and Z is an alkali metal.

Abstract: Disclosed herein are methods for presenting therapy events on a continuous, time-based data feed. An algorithm for arranging data on the feed can position icons on the feed with information regarding therapy events at a time each event occurred without blocking or interfering with the data feed, including when the data feed is scrolled, zoomed, or otherwise repositioned. The algorithm can include clustering, buffering and affinity components. The clustering component can combine different events occurring at the same time into a single event and keep those events visually together on the data feed. The buffering component can provide a buffer around each event so there is no overlapping of depicted events. The affinity component provides an affinity for placing events as closed to a CGM trend line on the data feed as possible in view of the positioning of other events.