Abstract: The present disclosure provides modified nucleosides, nucleotides, and nucleic acids, and methods of using them.

Abstract: A method including applying a stacked ensemble model having a number of component models to a user profile. Values for the features are extracted from the user profile. A first contribution matrix, generated for the first model, contains first feature importance scores for the first subset of the features used in the first model. A second contribution matrix, generated for the second model, contains second feature importance scores for the second subset of the features used in the second model. An overall feature importance matrix is generated by combining the first contribution matrix and the second contribution matrix. A set of top features including a third subset of the features is selected from the overall feature importance matrix. An explanation for the final output is generated according to the set of top features. The explanation is presented.

Abstract: Systems and methods for determining whether two tree persons in a genealogical database correspond to the same real-life individual. Embodiments include identifying two tree persons in a genealogical database and extracting a plurality of features from both tree persons to generate two vectors. Embodiments also include calculating a plurality of metrics between the two vectors to generate a metric function. Embodiments further include generating feature weights using a recursive process based on training data input by external users, and generating a score by calculating a weighted sum of the metric function being weighted by the feature weights. The generated score may then be compared to a threshold value.

Abstract: Aspects of the present disclosure relate to machine learning-based techniques for segmenting entity populations. Embodiments include approximating distributions for outputs generated by a classification machine learning model and ground truth occurrences of a targeted event. A first distribution may relate to the distribution of classification model scores that indicate the likelihood of the targeted event occurring with respect to entities. A second distribution may relate to the distribution of actual occurrences of the targeted event. Based on the distributions, thresholds may be generated by minimizing the values of the thresholds as a function of the distributions and a targeted rate of occurrence for the targeted entity with respect to different segments that are included within the thresholds. Entities may then be segmented based on the thresholds, and interventions (such as resource allocations) may be applied based on the segmentation.

Abstract: The invention relates to compositions and methods for the manufacture and optimization of modified mRNA molecules via optimization of their terminal architecture.

Abstract: Certain aspects of the disclosure provide systems and methods for resolving ambiguities encountered by a decision machine learning (ML) model during processing of input data. For example, a method may include identifying an ambiguity during decision processing of first input data by a decision ML model; conveying the ambiguity to an expert agent for evaluation; receiving, by an LLM, feedback regarding the ambiguity from the expert agent; determining, by the LLM, that the feedback, received from the expert agent, resolves the ambiguity; generating second input data by the LLM, the second input data having the first input data and the feedback determined to resolve the ambiguity; processing the second input data by the decision ML model to generate a decision based on processing of the second input data; and outputting, by the LLM, the decision received from the ML model.

Abstract: A method and system are provided for generating a combined prediction using an ensemble machine learning system. The prediction may be used in risk assessment for payroll processing. A data point is received as input to a multitude of trained models. Each model is trained from a respective data subset of a disparate data. A model prediction this generated by each of a multitude of machine learning models. For each respective trained model, a trust score is generated based on a data sparseness metric of the data point and a feature importance vector of the respective model. The model predictions and trust scores are received as input to a meta-model that was trained from the trust score and the model prediction of the multitude of trained models over the respective data subset of the disparate data. A combined prediction is generated using the trained meta-model.

Abstract: The invention relates to compositions and methods for the manufacture and optimization of modified mRNA molecules via optimization of their terminal architecture.

Abstract: The present disclosure provides modified nucleosides, nucleotides, and nucleic acids, and methods of using them.

Abstract: The invention relates to compositions and methods for the manufacture and optimization of modified mRNA molecules via optimization of their terminal architecture.

Abstract: The invention relates to compositions and methods for the preparation, manufacture and therapeutic use of polynucleotides, primary transcripts and mmRNA molecules.

Abstract: Systems and methods for determining whether two tree persons in a genealogical database correspond to the same real-life individual. Embodiments include identifying two tree persons in a genealogical database and extracting a plurality of features from both tree persons to generate two vectors. Embodiments also include calculating a plurality of metrics between the two vectors to generate a metric function. Embodiments further include generating feature weights using a recursive process based on training data input by external users, and generating a score by calculating a weighted sum of the metric function being weighted by the feature weights. The generated score may then be compared to a threshold value.

Abstract: The present disclosure provides modified nucleosides, nucleotides, and nucleic acids, and methods of using them.

Abstract: The invention relates to compositions and methods for the preparation, manufacture and therapeutic use of polynucleotides, primary transcripts and mmRNA molecules.

Abstract: Systems and methods for determining whether two tree persons in a genealogical database correspond to the same real-life individual. Embodiments include identifying two tree persons in a genealogical database and extracting a plurality of features from both tree persons to generate two vectors. Embodiments also include calculating a plurality of metrics between the two vectors to generate a metric function. Embodiments further include generating feature weights using a recursive process based on training data input by external users, and generating a score by calculating a weighted sum of the metric function being weighted by the feature weights. The generated score may then be compared to a threshold value.

Abstract: The invention relates to compositions and methods for the preparation, manufacture and therapeutic use of polynucleotides, primary transcripts and mmRNA molecules.

Abstract: The invention relates to compositions and methods for the manufacture and optimization of modified mRNA molecules via optimization of their terminal architecture.

Abstract: The invention relates to a pharmaceutical composition including a plurality of lipid nanoparticles having a mean particle size of between 80 nm and 160 nm and containing an mRNA encoding a polypeptide. The lipid nanoparticles include a cationic lipid, a neutral lipid, a cholesterol, and a PEG lipid. The mRNA contains a 5?-cap, 5?-UTR, a 3?-UTR, and a poly-A region with at least 100 nucleotides.

Abstract: The invention relates to compositions and methods for the manufacture and optimization of modified mRNA molecules via optimization of their terminal architecture.

Abstract: The present disclosure provides alternative nucleosides, nucleotides, and nucleic acids, and methods of using them.