Abstract: Provided herein are methods for treating or preventing inflammatory skin disorders, such as Hidradenitis suppurativa, by administering to a subject having or at risk of developing the inflammatory skin disorder an agent that inhibits NK cell activity.

Abstract: The present disclosure is concerned with purine diamine compounds for the treatment of conditions associated with BRD4, RIP3K, and/or IL6 signaling dysfunction such as, for example, cancer (e.g., lung cancer, skin cancer, bladder cancer, kidney cancer, liver cancer), arsenicosis, arsenic poisoning, inflammation, skin lesions, dysfunction of systemic organs, and skin blisters. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

Abstract: The present disclosure is concerned with purine diamine compounds for the treatment of conditions associated with BRD4, RIP3K, and/or IL6 signaling dysfunction such as, for example, cancer (e.g., lung cancer, skin cancer, bladder cancer, kidney cancer, liver cancer), arsenicosis, arsenic poisoning, inflammation, skin lesions, dysfunction of systemic organs, and skin blisters. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

Abstract: Aspects of the disclosure relate to a machine-learning transaction-prediction engine for seasoning an anticipated manual transaction. The transaction may occur in a transaction session. The seasoning may occur prior to execution of the anticipated manual transaction. The transaction-prediction engine may include a receiving/storage module configured to receive and store identification information of the transactor. The engine may also include a step-retrieval module configured to retrieve a set of in-session transaction steps associated with the transactor. In addition, the engine may include a history-retrieval module configured to retrieve, based on the stored identification information, historical transactional information associated with the transactor. The historical transaction information comprising a plurality of historical transaction patterns associated with the transactor.

Abstract: Aspects of the disclosure relate to a machine-learning transaction-prediction engine for seasoning an anticipated manual transaction. The transaction may occur in a transaction session. The seasoning may occur prior to execution of the anticipated manual transaction, The transaction-prediction engine may include a receiving/storage module configured to receive and store identification information of the transactor. The engine may also include a step-retrieval module configured to retrieve a set of in-session transaction steps associated with the transactor. In addition, the engine may include a history-retrieval module configured to retrieve, based on the stored identification information, historical transactional information associated with the transactor. The historical transaction information comprising a plurality of historical transaction patterns associated with the transactor.

Abstract: A mechanism whereby aberrant Shh signaling converges on the Akt1-mTOR pathway, conferring selective growth advantage and enhanced survival of tumor cells has been identified. Utilizing a mouse model of BCNS, a pivotal role has been discovered for Akt1 signaling in BCC tumorigenesis. Based on the results described here certain embodiments are directed to methods and pharmaceutical formulations for treating BCC/BCNS, other cancers that are Shh+ and Akt+, cancers that are Shh+ and mTOR plus and cancers that are Shh+ by administering therapeutically effective amounts of various combinations of Akt inhibitors, Shh pathway inhibitors such as SMO inhibitors, and mTOR inhibitors.