American Home Products Corporation

Wyeth

Other

Hvh Precision Analytics LLC

Chris P Miller

Bach D Tran

Michael David Collini

Arthur Attilio Santilli

Oodaye Shukla

Tara Grabowsky

Anita Wai-Yin Chan

Arkadiy Zinoviy Rubezhov

Rody Hardy

Maro Sciacchitano

Aubrey Jones

Manjula Kasoji

Cody Garges

Ron Payne

Ivo L Jirkovsky

Ken Guernsey

Tyler Folta

A method, computer program product, and system continually obtain machine-readable data sets related to a patient population diagnosed with a medical condition from one or more databases (different computing nodes in the distributed environment). The processor(s) continually applies a recurrent neural network to the plurality of data sets to machine learn optimal features for classifying patients into multiple categories related to presence or progression of the medical condition. The processor(s) continually generates, based on the machine learned optimal set of features, intermediate features, based on the weightings of a portion of the machine learned optimal set of features, i.e., a model. The processor(s) evaluates the records and classifies records into the categories, based on a current model (model generated in real-time).

Machine-learning based query construction and pattern identification for amyotrophic lateral sclerosis

A computer system, computer-implemented method, and computer program product include a processor(s) (executing code) that obtains a data set(s) related to a patient population diagnosed with a medical condition a database(s). The processor(s) identifies common features, generates patterns of the common features, and generates machine learning algorithms based on the patterns to identify presence or absence of the given medical condition in an undiagnosed patient. The processor(s) compiles a training set of data and tunes the machine learning algorithms with the training set of data. The processor(s) integrates the machine learning algorithms into a graphical user interface. The processor(s) obtains data related to the undiagnosed patient via the interface and applies the machine learning algorithms to determine a probability (numerical value indicating a percentage of commonality between the data related to the undiagnosed patient and the one or more patterns) and display the probability as a score in the interface.

Implementation of machine-learning based query construction and pattern identification through visualization in user interfaces

A method, computer program product, and system identifying a probability of a medical condition in a patient. The method includes a processor obtaining data set(s) related to a patient population diagnosed with a medical condition and based on a frequency of features in the data set(s), identifying common features and weighting the common features based on frequency of occurrence in the data set(s) to generate mutual information. The processor generates pattern(s) including a portion of the common features to generate a machine learning algorithm(s). The processor compiles a training set of data to use to tune the machine learning algorithm(s). The processor dynamically adjusts common features in the pattern(s) such that the machine learning algorithm(s) can distinguish patient data indicating the medical condition from patient data not indicating the medical condition. The processor applies the machine learning algorithm(s) to data related to the undiagnosed patient, to determine the probability.

The exemplary embodiments herein provide a method for controlling access to medications. The method preferably includes the step of electronically unlocking a lid for a single bin out of a plurality of bins within a delivery module at a first location, to accept a medication into the unlocked bin, where the rest of the bins in the same delivery module remain locked. The method should then engage a mechanical lock on the lid once it has been closed, maintain the bin in a locked state during transport to a second location, and engage a mechanical lock on the delivery module once it has been lowered into a drawer at the second location.

Method for controlling access to medications

The exemplary embodiments herein provide a medical cart having a drawer with a post which extends upwardly from a bottom surface of the drawer. The cart further includes a removable medication delivery module having four sidewalls and a bottom wall as well as a plurality of individually-lockable bins placed above the bottom wall and within the four sidewalls. A lock may be positioned above the bottom wall and below the plurality of individually-lockable bins with an aperture on the lock which engages with the post and a hole in the bottom wall sized to accept the post.

Modular and fully traceable delivery system

The present invention relates to new 2-Phenyl-1-[4-(2-Aminoethoxy)-Benzyl]-Indole compounds having the general structures below: which are useful in contraception and in treating melanoma, osteoporosis, acne, dysfunctional uterine bleeding, endometrial polyps, benign breast disease, adenomyosis, infertility, endometriosis, endometrial cancer, polycystic ovary syndrome, cardiovascular disease, Alzheimer's disease, cognitive decline, central nervous system disorders, central nervous system cancers, leukemia, endometrial ablations, chronic renal disease, chronic hepatic disease, coagulation diseases and disorders, hypocalcemia, hypercalcemia, Paget's disease, osteomalacia, osteohalisteresis, and multiple myeloma.

2-phenyl-1-[4-(2-aminoethoxy)-benzyl]-indoles as estrogenic agents

The present invention relates to new 2-Phenyl-1-[4-(2-Aminoethoxy)-Benzyl]-Indole compounds having the general structures below: which are useful in treating colon cancer.

2-Phenyl-1-[4-(2-aminoethoxy)-benzyl]-indoles as estrogenic agents

The present invention relates to new 2-Phenyl-1-[4-(2-Aminoethoxy)-Benzyl]-Indole compounds having the general structures below: or which are useful in treating or preventing bone loss.

The present invention relates to new 2-Phenyl-1-[4-(2-Aminoethoxy)-Benzyl]-Indole compounds having the general structures below: which are useful in treating uterine leiomyoma.

The present invention relates to new 2-Phenyl-1-[4-(2-Aminoethoxy)-Benzyl]-Indole compounds having the general structures below:which are useful in treating vaginal and skin atrophy.

The present invention relates to new 2-Phenyl-1-[4-(2-Aminoethoxy)-Benzyl]-Indole compounds having the general structures below:which are useful in the treatment or inhibition of osteoarthritis.

2-Phenyl-1-[4-(2-Aminoethoxy)-Benzyl]-Indoles as estrogenic agents

The present invention relates to new 2-Phenyl-1-[4-(2-Aminoethoxy)-Benzyl]-Indole compounds having the general structures below:which are useful in treating male pattern baldness.

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Strafford, PA, United States of America

Chris P Miller