Abstract: Described herein is a discovery Platform Technology for analyzing a drug-induced toxicity condition, such as cardiotoxicity via model building.

Abstract: Systems and methods are provided for accessing a factorized neural transducer comprising a first set of layers for predicting blank tokens and a second set of layers for predicting vocabulary tokens, the second set of layers comprising a language model that includes a vocabulary predictor which is a separate predictor from the blank predictor, wherein a vocabulary predictor output from the vocabulary predictor and the encoder output are used for predicting a vocabulary token. The second set of layers is selectively modified to facilitate an improvement in an accuracy of the factorized neural transducer in performing automatic speech recognition, the selectively modifying comprising applying a particular modification to the second set of layers while refraining from applying the particular modification to the first set of layers.

Abstract: Described herein is a discovery Platform Technology for analyzing a biological system or process (e.g.

Abstract: The invention provides methods and pharmaceutical compositions for preventing or mitigating chemotherapy-induced alopecia (CIA). The pharmaceutical compositions of the invention comprise an effective amount of a vitamin D compound in a topical formulation. The invention has broad applications in chemotherapies that induce alopecia, for example taxane based chemotherapy for cervical cancer, endometrial cancer, ovarian cancer, fallopian tube cancer, primary peritoneal carcinoma, soft tissue sarcoma, or bone sarcoma. The pharmaceutical compositions of the invention can be advantageously administered before and/or concurrent with the chemotherapy.

Abstract: Generally discussed herein are devices, systems, and methods for multi-lingual model generation. A method can include determining, for low-resource languages, respective a language similarity value indicating language similarity between each of the low-resource languages, clustering the low-resource languages into groups based on the respective language similarity value, aggregating training data of languages corresponding to a given group resulting in aggregated training data, and training a re-ranking language model based on the aggregated training data resulting in a trained re-ranking language model.

Abstract: The invention provides regimens and methods for the treatment of cancer comprising continuous infusion of coenzyme Q10. The coenzyme Q10 may be administered as a monotherapy, or in combination with an additional agent, such as an anticancer agent, a chemotherapeutic agent, or an anti-angiogenic agent. The coenzyme Q10 may be administered at two or more different rates.

Abstract: Described herein is a discovery Platform Technology for analyzing a drug-induced toxicity condition, such as cardiotoxicity via model building.

Abstract: The present invention is directed, in part, to methods of treating Epidermolysis Bullosa (EB) in a subject in need thereof, comprising topical administration of a pharmaceutical composition comprising a therapeutically effective amount of a of Coenzyme Q10 (CoQ10) to the subject.

Abstract: The present invention relates to protein markers for ER-positive-like and ER-negative-like breast cancer. Methods for differentiating ER-positive-like and ER-negative-like breast cancer in a subject having breast cancer are provided, such methods including the detection of levels of a variety of biomarkers for ER-positive-like and ER-negative-like breast cancer. Compositions in the form of kits and panels of reagents for detecting the biomarkers of the invention are also provided.

Abstract: A computer device is provided that includes one or more processors configured to receive an end-to-end (E2E) model that has been trained for automatic speech recognition with training data from a source-domain, and receive an external language model that has been trained with training data from a target-domain. The one or more processors are configured to perform an inference of the probability of an output token sequence given a sequence of input speech features. Performing the inference includes computing an E2E model score, computing an external language model score, and computing an estimated internal language model score for the E2E model. The estimated internal language model score is computed by removing a contribution of an intrinsic acoustic model. The processor is further configured to compute an integrated score based at least on E2E model score, the external language model score, and the estimated internal language model score.

Abstract: A device receives priority data identifying priorities relevant to a configuration of an application and receives feature data identifying features related to the priorities. The device identifies technology services based on a machine learning-driven analysis of the priorities and features, and includes data identifying the technology services as part of the reference architecture. The device provides data identifying the reference architecture for display via an interface, and receives data identifying technology services that have been selected by a user. The device updates scores associated with the reference architecture based on the selected technology services. A subset of the scores may be updated to reflect one or more degrees to which one or more cloud service providers offer the selected technology services. The device provides data identifying the updated scores for display via the interface to allow the scores to be used to select a particular cloud service provider.

Abstract: Described herein is a discovery Platform Technology for analyzing a biological system or process (e.g., a disease condition, such as cancer) via model building.

Abstract: The invention provides methods and compositions for treatment of a subject with a central nervous system (CNS) tumor comprising administration of Coenzyme Q10 (CoQ10), particularly when the subject exhibits at least one CNS abnormality as a result of the tumor.

Abstract: The present invention is directed, in part, to methods of treating Epidermolysis Bullosa (EB) in a subject in need thereof, comprising topical administration of a pharmaceutical composition comprising a therapeutically effective amount of a of Coenzyme Q10 (CoQ10) to the subject.

Abstract: The invention provides methods and compositions for treatment of a subject with a glioma that has failed treatment with temozolomide (TMZ) comprising administration of a composition comprising a Coenzyme Q10 compound to the subject. The invention also provides a method of treating a cancer that exhibits increased Complex II activity in a subject comprising administration of a composition comprising a Coenzyme Q10 compound to the subject.

Abstract: A computer device is provided that includes one or more processors configured to receive an end-to-end (E2E) model that has been trained for automatic speech recognition with training data from a source-domain, and receive an external language model that has been trained with training data from a target-domain. The one or more processors are configured to perform an inference of the probability of an output token sequence given a sequence of input speech features. Performing the inference includes computing an E2E model score, computing an external language model score, and computing an estimated internal language model score for the E2E model. The estimated internal language model score is computed by removing a contribution of an intrinsic acoustic model. The processor is further configured to compute an integrated score based at least on E2E model score, the external language model score, and the estimated internal language model score.

Abstract: The invention provides regimens and methods for the treatment of cancer comprising continuous infusion of coenzyme Q10. The coenzyme Q10 may be administered as a monotherapy, or in combination with an additional agent, such as an anticancer agent, a chemotherapeutic agent, or an anti-angiogenic agent. The coenzyme Q10 may be administered at two or more different rates.

Abstract: Methods for diagnosing the presence of prostate cancer in a subject are provided, such methods including the detection of levels of a variety of biomarkers diagnostic of prostate cancer. The invention also provides methods of treating prostate cancer by administering a biomarker or an agent that modulates a biomarker of prostate cancer. Compositions in the form of kits and panels of reagents for detecting the biomarkers of the invention are also provided.

Abstract: Presented herein are methods for the treatment of oncological disorders by the co-administration of Coenzyme Q10 and immune checkpoint modulators. The Coenzyme Q10 formulations may be at least one of intravenous, topical, or by inhalation. Co-administration of the Coenzyme Q10 formulations may be prior to, concurrent or substantially concurrent with, intermittent with or subsequent to the administration of the chemotherapy.

Abstract: A computer-implemented method of optimizing data rollback is disclosed. The method receives a request to perform a task on a disk storage. The method initiates the task by reading a plurality of data pages from the disk storage to a database buffer. Each of the plurality of data pages on the database buffer are modified to form a plurality of dirty pages. In response to reaching and/or exceeding a database buffer threshold, a portion of the plurality of dirty pages on the database buffer are externalized to a rollback buffer. In response to reaching and/or exceeding a rollback buffer threshold, a subset of the portion of the plurality of dirty pages on the rollback buffer are externalized to the disk storage. The method detects a task cancelling activity prior to completion of the task; and performs a rollback of the plurality of dirty pages to a pre-task state.