Abstract: The present application describes uses for Pertuzumab, a first-in-class HER2 dimerization inhibitor. In particular, the application describes methods for extending progression free survival in a HER2-positive breast cancer patient population; and combining two HER2 antibodies to treat HER2-positive cancer without increasing cardiac toxicity.

Abstract: The presently disclosed subject matter relates to “Randomized Configuration Targeted Integration” (also referred to herein as “Randomized Chain Targeted Integration”) (RCTI) strategies for the generation and identification of host cells capable of expressing recombinant proteins, e.g., monoclonal antibodies, as well as compositions derived from the same, e.g., bispecific antibodies, and other complex format proteins, e.g., membrane protein complexes and other difficult to express molecules.

Abstract: The present application describes uses for Pertuzumab, a first-in-class HER2 dimerization inhibitor. In particular, the application describes methods for extending progression free survival in a HER2-positive breast cancer patient population; and combining two HER2 antibodies to treat HER2-positive cancer without increasing cardiac toxicity.

Abstract: The disclosure relates to methods for handling and supplementation of cell culture medium to improve process performance in eukaryotic recombinant expression systems.

Abstract: Embodiments disclosed herein generally relate to connected machine learning models with joint training for lesion detection. Particularly, aspects of the present disclosure are directed to accessing a three-dimensional magnetic resonance imaging (MRI) image, wherein the three-dimensional MRI image depicts a region of a brain of a subject, wherein the region of the brain includes at least a first type of lesions and a second type of lesions; inputting the three-dimensional MRI image into a machine-learning model comprising a first convolutional neural network and a second convolutional neural network; generating a first segmentation mask for the first type of lesions using the first convolutional neural network that takes as input the three-dimensional MRI image; generating a second segmentation mask for the second type of lesions using the second convolutional neural network that takes as input the three-dimensional MRI image; and outputting the first segmentation mask and the second segmentation mask.

Abstract: The invention provides antagonistic antibodies to BACE1 and methods of using the same for the treatment of neurological disease and disorders.

Abstract: The present disclosure relates to compounds comprising a VHL ligand moiety and to methods of using such compounds as ligands of VHL. The present disclosure further relates to the use of the compounds described herein, or pharmaceutical compositions thereof, to prevent and/or treat a range of diseases, disorders, and conditions.

Abstract: Provided herein are methods of treating B-cell proliferative disorders (such as Follicular Lymphoma and diffuse large B cell lymphoma) using immunoconjugates comprising anti-CD79b antibodies in combination with a Bcl-2 inhibitor (such as venetoclax) and an anti-CD20 antibody (such as obinutuzumab or rituximab).

Abstract: A method of preparing a prefilled syringe is disclosed that includes obtaining a syringe barrel and a needle adaptor cap assembled on the tip of the syringe barrel, wherein the needle adaptor cap has a rubber element tightly sealing the orifice of the tip of the syringe barrel and the syringe barrel together with the needle adaptor cap assembled on the tip of the syringe barrel is sterilized by a first sterilizing. Filling a drug substance into an interior of the syringe barrel and sealing the interior of the syringe barrel. Packaging the syringe barrel with a rubber stopper sealing the interior thereof and the needle adaptor cap assembled on the tip of the syringe barrel. Providing a second external surface sterilizing of the packaged syringe barrel with the rubber stopper sealing the interior thereof and the needle adaptor cap assembled on the tip of the syringe barrel.

Abstract: Provided are anti-CD8 antibodies that bind human CD8 and do not stimulate or inhibit the activation of CD8+ T cells. Also provided are nucleic acids encoding such anti-CD8 antibodies, vectors comprising such nucleic acids, host cells comprising same, and methods of making such anti-CD8 antibodies. Also provided are anti-CD8 antibodies conjugated to a detectable label. Provided are methods of using such anti-CD8 antibodies to detect CD8+ T cells in a subject, monitor disease progress in a subject having cancer, and monitor treatment progress in a subject having cancer.

Abstract: Provided herein are solid forms of 1-((S)-4-((R)-7-(6-amino-4-methyl-3-(trifluoromethyl)pyridin-2-yl)-6-chloro-8-fluoro-2-(((S)-1-methylpyrrolidin-2-yl)methoxy)quinazolin-4-yl)-3-methylpiperazin-1-yl)prop-2-en-1-one and methods of their use in the treatment of cancer.

Abstract: The invention provides novel inhibitors of hedgehog signaling that are useful as a therapeutic agents for treating malignancies where the compounds have the general formula I: wherein A, X, Y R1, R2, R3, R4, m and n are as described herein.

Abstract: The present application describes antibody formulations, including monoclonal antibodies formulated in histidine-acetate buffer, as well as a formulation comprising an antibody that binds to domain II of HER2 (for example, Pertuzumab), and a formulation comprising an antibody that binds to DR5 (for example, Apomab).

Abstract: The invention provides anti-cluster of differentiation 3 (CD3) antibodies and methods of using the same.

Abstract: Compounds of Formula (I): and salts thereof, and methods of use as Janus kinase inhibitors are described herein.

Abstract: The present disclosure relates to techniques for privacy-preserving computing to protect a subject's privacy while using the subject's data for secondary purposes such as training and deploying artificial intelligence tools. Particularly, aspects are directed to receiving, at a local server, subject data regarding a first subject, performing, by the local server, a de-identifying operation, an anonymizing operation, or both on the subject data, sending the subject data to a remote server, receiving a production model from the remote server, the production model including parameters derived in part from the processed subject data, receiving, at the local server, subsequent data regarding a second subject, inputting, by the local server, the subsequent data into the production model to analyze the subsequent data and generate an inference or prediction from the analysis of the subsequent data; and sending, by the local server, the inference or the prediction to a computing device.

Abstract: The present invention is directed to a combination therapy involving a type II anti-CD20 antibody and a selective Bcl-2 inhibitor for the treatment of a patient suffering from cancer, particularly, a CD20-expressing cancer.

Abstract: Described herein are methods for the efficient production of a heteromultimeric protein, such as a bispecific antibody. Heteromultimeric proteins may be capable of specifically binding to more than one target molecule or different epitopes on a single target molecule. The methods modulate parameters to improve assembly of the heteromultimeric proteins at higher yield and efficiency than otherwise possible. Also described are compositions comprising a hinge-containing polypeptide, such as a half-antibody.

Abstract: The invention provides interleukin-33 (IL-33) antibodies and methods of using the same.