A computer-implemented method for processing and/or analyzing nucleic acid sequencing data comprises receiving a first data input and a second data input. The first data input comprises untargeted sequencing data generated from a first nucleic acid sample obtained from a subject. The second data input comprises target-specific sequencing data generated from a second nucleic acid sample obtained from the subject. Next, with the aid of a computer processor, the first data input and the second data input are combined to produce a combined data set. Next, an output derived from the combined data set is generated. The output is indicative of the presence or absence of one or more polymorphisms of the first nucleic acid sample and/or the second nucleic acid sample.

A computer-implemented method for processing and/or analyzing nucleic acid sequencing data comprises receiving a first data input and a second data input. The first data input comprises untargeted sequencing data generated from a first nucleic acid sample obtained from a subject. The second data input comprises target-specific sequencing data generated from a second nucleic acid sample obtained from the subject. Next, with the aid of a computer processor, the first data input and the second data input are combined to produce a combined data set. Next, an output derived from the combined data set is generated. The output is indicative of the presence or absence of one or more polymorphisms of the first nucleic acid sample and/or the second nucleic acid sample.

A platform configured to provide virtual glass in order to augment and improve focus group sessions for each actor within the ecosystem. The platform may be configured to allow a moderator, one or more test subjects, and one or more client users to participate in a focus group session at geographically diverse locations. The platform may also be configured to supplement the focus group experience by allowing for dialog and communication between the client users. In some cases, the platform may also be configured to generate and provide real time status indicators associate with the tests subject, real time text-based transcripts of the sessions, and recommendations as to the focus group direction to the moderator.

A platform configured to provide virtual glass in order to augment and improve focus group sessions for each actor within the ecosystem. The platform may be configured to allow a moderator, one or more test subjects, and one or more client users to participate in a focus group session at geographically diverse locations. The platform may also be configured to supplement the focus group experience by allowing for dialog and communication between the client users. In some cases, the platform may also be configured to generate and provide real time status indicators associate with the tests subject, real time text-based transcripts of the sessions, and recommendations as to the focus group direction to the moderator.

Systems and methods related to the field of cardiac resuscitation, and in particular to devices for assisting rescuers in performing cardio-pulmonary resuscitation (CPR).

Systems and methods related to the field of cardiac resuscitation, and in particular to devices for assisting rescuers in performing cardio-pulmonary resuscitation (CPR).

Systems and methods are provided for predicting cardiotoxicity of molecular parameters of a compound. A computer can provide as input to a machine learning algorithm the molecular parameters of the compound. The molecular parameters can include at least structural information about the compound. The machine learning algorithm can have been trained using respective molecular parameters of compounds known to have cardiotoxicity and of compounds known not to have cardiotoxicity. The computer can receive as output from the machine learning algorithm a representation of the predicted cardiotoxicity of each molecular parameter of at least a subset of the molecular parameters of the compound.

Systems and methods are provided for predicting cardiotoxicity of molecular parameters of a compound. A computer can provide as input to a machine learning algorithm the molecular parameters of the compound. The molecular parameters can include at least structural information about the compound. The machine learning algorithm can have been trained using respective molecular parameters of compounds known to have cardiotoxicity and of compounds known not to have cardiotoxicity. The computer can receive as output from the machine learning algorithm a representation of the predicted cardiotoxicity of each molecular parameter of at least a subset of the molecular parameters of the compound.

The method involves using a digital badge device worn on the chest of a user to visually convey personal attributes to others in line of sight. It begins by configuring the badge device to communicate wirelessly with the user's mobile device. Next, a personal attribute of the user is determined based on input from the user or device-captured data. This attribute could relate to the user's affiliation, emotional state, physical activity, and more. Finally, a pre-defined color and/or symbol code representing the determined attribute is displayed on the badge device's screen for others to see. This provides an easily interpretable visual cue to communicate specific personal attributes to different users. By employing this method, the badge wearer can convey information about themselves without the need for verbal communication. The method offers a convenient and efficient way to signal personal attributes in situations where direct interaction may be limited or impractical.

A peristaltic pump includes a plunger-cam follower, a tube receiver, a spring-biased plunger, a spring, a position sensor, and a processor. The plunger-cam follower engages the plunger cam to follow the plunger cam and to disengage from the plunger cam. The spring-biased plunger is coupled to the plunger-cam follower and the spring biases the spring-biased plunger toward the tube receiver. The position sensor determines a position of the spring-biased plunger when the plunger-cam follower is disengaged from the plunger came. The processor estimates fluid flow utilizing at least the position of the spring-biased plunger as indicated by the position sensor when the plunger-cam follower is disengaged from the plunger cam and the spring biases the spring-biased plunger against the tube.