Abstract: The present invention provides for a method for predicting whether a subject with clear cell renal cell carcinoma (ccRCC) will be responsive to a targeted therapy or immunotherapy. The present invention also provides for a system using machine learning for determining whether a subject with clear cell renal cell carcinoma (ccRCC) will be responsive to a targeted therapy or immunotherapy.

Abstract: The present invention provides for a method for predicting whether a subject with prostate cancer will be responsive to neoadjuvant therapy (NT), or whether NT will be efficacious for treating a subject with prostate cancer. The present invention also provides for a system using machine learning for determining whether a subject with prostate cancer will be responsive to neoadjuvant therapy (NT), or whether NT will be efficacious for treating a subject with prostate cancer.

Abstract: Provided herein included methods and systems to identify exposure to environmental carcinogens, compounds, and other toxins are disclosed. Additionally provided, include methods and systems to identify risk associated with such environmental carcinogens, compounds, and other toxins. Various embodiments include machine learning models to identify cellular morphometric biomarkers (CMBs). Various methods and systems described herein are capable of using CMBs for diagnostic, prognostic, or forensic purposes. Some embodiments are directed to training a machine learning model for such using CMBs for diagnostic, prognostic, or forensic purposes, including (but not limited to) generating images of biological responses that can be used as a training data set. Additional embodiments are directed to computing devices and/or software that are capable of performing methods as described herein.

Abstract: A feedback circuit coupled between an input terminal and an output terminal of an amplifier circuit includes an input terminal, an output terminal, a first set of transistors and a second set of transistors. The first set of transistors is coupled between the input terminal and the output terminal of the feedback circuit, and includes a first terminal, a second terminal, and a control terminal used to receive a first control signal to turn on or off the first set of transistors. The second set of transistors is coupled between the input terminal and the output terminal of the feedback circuit, and includes a first terminal, a second terminal, and a control terminal used to receive a second control signal to turn on or off the second set of transistors.

Abstract: The present disclosure provides a method and a gene detection panel for evaluating treatment response, recurrence and survival by detecting genetic variants and their changes before and after concurrent chemoradiotherapy in tumor tissues of patients with esophageal cancer. The present disclosure develops a set of esophageal cancer NGS analysis panel. Aiming at 402 mutation sites including 35 genes that frequently occur in esophageal squamous cell carcinoma tissue cells, 62 pairs of esophageal squamous cell carcinoma tissues before and after CCRT are analyzed for specific site variation, hoping to find new predictive markers. The present disclosure combines these potential markers into an esophageal cancer detection panel, which has extremely high value for improving the prognosis of esophageal cancer.

Abstract: A feedback circuit coupled between an input terminal and an output terminal of an amplifier circuit includes an input terminal, an output terminal, a first set of transistors and a second set of transistors. The first set of transistors is coupled between the input terminal and the output terminal of the feedback circuit, and includes a first terminal, a second terminal, and a control terminal used to receive a first control signal to turn on or off the first set of transistors. The second set of transistors is coupled between the input terminal and the output terminal of the feedback circuit, and includes a first terminal, a second terminal, and a control terminal used to receive a second control signal to turn on or off the second set of transistors.

Abstract: A method for determining a Lower Grade Glioma (LGG) subtype for a subject. A device for determining an LGG subtype in a subject. A system using machine learning for determining a Lower Grade Glioma (LGG) subtype in a subject.

Abstract: A radio frequency (RF) device and a multi-band matching circuit thereof are provided. The multi-band matching circuit includes an inductance circuit, a first capacitance circuit, an inductor, and a second capacitance circuit. A first terminal of the inductance circuit is coupled to a RF signal input terminal of the multi-band matching circuit. A first terminal of the first capacitance circuit is coupled to a second terminal of the inductance circuit. A first terminal of the inductor and a first terminal of the second capacitance circuit are coupled to a second terminal of the first capacitance circuit. A second terminal of the inductor is coupled to a first reference voltage. A second terminal of the second capacitance circuit is coupled to a second reference voltage. The second capacitance circuit is controlled by a single-bit control signal to change a capacitance value of the second capacitance circuit.

Abstract: A radio frequency (RF) device and a multi-band matching circuit thereof are provided. The multi-band matching circuit includes an inductance circuit, a first capacitance circuit, an inductor, and a second capacitance circuit. A first terminal of the inductance circuit is coupled to a RF signal input terminal of the multi-band matching circuit. A first terminal of the first capacitance circuit is coupled to a second terminal of the inductance circuit. A first terminal of the inductor and a first terminal of the second capacitance circuit are coupled to a second terminal of the first capacitance circuit. A second terminal of the inductor is coupled to a first reference voltage. A second terminal of the second capacitance circuit is coupled to a second reference voltage. The second capacitance circuit is controlled by a single-bit control signal to change a capacitance value of the second capacitance circuit.

Abstract: A switch device includes a signal input terminal and a switch circuit. The signal input terminal is used to receive a radio frequency signal. The switch circuit is coupled to the signal input terminal, and includes a first transistor and a second transistor. The first transistor includes a control terminal used to receive a first control voltage to turn off the first transistor; a first terminal; and a second terminal. The second transistor includes a control terminal used to receive a second control voltage to turn off the second transistor; a first terminal; and a second terminal. The second control voltage is different from the first control voltage.

Abstract: Embodiments disclosed herein provide methods and systems for delineating cell nuclei and classifying regions of histopathology or microanatomy while remaining invariant to batch effects. These systems and methods can include providing a plurality of reference images of histology sections. A first set of basis functions can then be determined from the reference images. Then, the histopathology or microanatomy of the histology sections can be classified by reference to the first set of basis functions, or reference to human engineered features. A second set of basis functions can then be calculated for delineating cell nuclei from the reference images and delineating the nuclear regions of the histology sections based on the second set of basis functions.

Abstract: Determining at least one of a prognosis or a therapy for a patient based on a stained tissue section of the patient. An image of a stained tissue section of a patient is processed by a processing device. A set of features values for a set of cell-based features is extracted from the processed image, and the processed image is associated with a particular cluster of a plurality of clusters based on the set of feature values, where the plurality of clusters is defined with respect to a feature space corresponding to the set of features.

Abstract: Embodiments disclosed herein provide methods and systems for delineating cell nuclei and classifying regions of histopathology or microanatomy while remaining invariant to batch effects. These systems and methods can include providing a plurality of reference images of histology sections. A first set of basis functions can then be determined from the reference images. Then, the histopathology or microanatomy of the histology sections can be classified by reference to the first set of basis functions, or reference to human engineered features. A second set of basis functions can then be calculated for delineating cell nuclei from the reference images and delineating the nuclear regions of the histology sections based on the second set of basis functions.

Abstract: Determining at least one of a prognosis or a therapy for a patient based on a stained tissue section of the patient. An image of a stained tissue section of a patient is processed by a processing device. A set of features values for a set of cell-based features is extracted from the processed image, and the processed image is associated with a particular cluster of a plurality of clusters based on the set of feature values, where the plurality of clusters is defined with respect to a feature space corresponding to the set of features.