Abstract: Oral formulations comprising one or more proteasome inhibitors for use as a treatment of coronavirus infection in a subject. Also disclosed are the use of such for the treatment or prevention of SARS-CoV-2 infection in humans.

Abstract: A tyrosine kinase inhibitor for use in the treatment of COVID-19 and/or its associated symptoms. Also disclosed is a method of treating an individual infected with a coronavirus, wherein said method comprises the steps of: providing a tyrosine kinase inhibitor; and administering said tyrosine kinase inhibitor to said individual in a dosage amount sufficient to prevent/stabilize/reduce the risks and/or symptoms associated with a coronavirus infection.

Abstract: Systems, methods, and non-transitory computer-readable storage media for identifying potential therapeutics for pathogens (bacterial or viral). The system can receive a plurality of molecules known to have interactions with a pathogen, fragment the plurality of molecules into a plurality of linkers and a plurality of rigids, and remove redundancies from the plurality of linkers and the plurality of rigids. The system can then identify a plurality of possible molecules formed from the fragments, evaluate those possible molecules for toxicity, and analyze the non-toxic candidates using a convolutional neural network associated with the pathogen. The final candidates can then be used for in-vivo testing.

Abstract: Systems, methods, and non-transitory computer-readable storage media for an adjustable neural network. Systems measure feature applicability for an octave of a Convolutional Neural Network (CNN) at a standard scale, resulting in (1) at least one drop-off point where the octave no longer resonates with pre-defined features; and (2) a common drop-off between the CNN and at least one other CNN trained on at least one other separate domain. The system can then measure octave resonance for a plurality of CNNs trained on large data sets with a distribution of octaves for features, and measure a pattern of octaves learned in the CNN, resulting in a measurement pattern. The system can then compare that measurement pattern to the pre-defined features, resulting in a level of adaptability of the CNN, and modify the CNN based on the level of adaptability of the CNN, resulting in a modified CNN.

Abstract: The present disclosure presents a computer implemented system and method of tracking objects and motion in video, detecting and analyzing periodic motion, and identifying motion characteristics of an activity or event using periodic motion data.

Abstract: A computer implemented system and method of tracking objects and motion in video using techniques for agile switching between a number of tracking techniques, detecting and analyzing periodic motion, and using regular expression techniques for identifying patterns.

Abstract: A computer implemented system and method of tracking objects and motion in video using techniques for agile switching between a number of tracking techniques, detecting and analyzing periodic motion, and using regular expression techniques for identifying patterns.

Abstract: A system and method of management of communication in a potentially unreliable wide-area network that contains one or more nodes connected to said network, each potentially having access to one or more inputs and/or outputs and capable of evaluating said inputs and directing said outputs, a global address space (GAS) accessible by said nodes, and a communication system using said GAS that provides communications between said nodes.

Abstract: A system and method of management of communication in a potentially unreliable wide-area network that contains one or more nodes connected to said network, each potentially having access to one or more inputs and/or outputs and capable of evaluating said inputs and directing said outputs, a global address space (GAS) accessible by said nodes, and a communication system using said GAS that provides communications between said nodes.

Abstract: A method for predetermining whether a cancer has a probability to become metastatic or recurrent, having the steps of: obtaining a sample cell population; assaying the sample cell population; detecting the rate of change of the sample cell population's pH over time; and comparing the pH change versus a predetermined pH rate of change. Also provided is a method of treating a patient having the steps of: isolating a cancer stem cell from a patient; culturing the cancer stem cell to produce a pool of descendant cells; culturing cells from the pool of descendant cells in the presence at least one compound among: anti-cancer drugs, myeloablative, chemotherapeutic, and immunotherapeutic agents, and a combination thereof; assaying over time, during the step of culturing, hydrogen ion concentration in the set of cells; and selecting a candidate therapeutic regimen for the patient based on a result of the assaying step.

Abstract: A system and method are disclosed for utilizing resources of a network. A constructive proof that a subset of resources is sufficient to satisfy the objective of a system can be generated. The constructive proof can comprise instructions for using the subset of resources. A set of computer-executable instructions can be created from the constructive proof and executed on a host device. The computer-executable instructions can control a data output device according to the instructions of the constructive proof.