Abstract: Systems and methods are provided for vector-quantized image modeling using vision transformers and improved codebook handling. In particular, the present disclosure provides a Vector-quantized Image Modeling (VIM) approach that involves pretraining a machine learning model (e.g., Transformer model) to predict rasterized image tokens autoregressively. The discrete image tokens can be encoded from a learned Vision-Transformer-based VQGAN (example implementations of which can be referred to as ViT-VQGAN). The present disclosure proposes multiple improvements over vanilla VQGAN from architecture to codebook learning, yielding better efficiency and reconstruction fidelity. The improved ViT-VQGAN further improves vector-quantized image modeling tasks, including unconditional image generation, conditioned image generation (e.g., class-conditioned image generation), and unsupervised representation learning.

Abstract: The invention relates to methods for producing an antibody which is specific for a mutant p53 polypeptide over wildtype p53 polypeptide, comprising using as an immunogen a peptide or polypeptide comprising: (i) an antigen sequence, comprising an amino acid sequence of the mutant p53 polypeptide including the mutation and at least one amino acid immediately adjacent to the mutation, and (ii) a scaffold sequence for providing the antigen sequence in a solvent-accessible configuration. Also provided are antibodies produced by such methods, and uses thereof.

Abstract: The invention relates to methods for producing an antibody which is specific for a mutant p53 polypeptide over wildtype p53 polypeptide, comprising using the mutant p53 polypeptide as an immunogen wherein the polypeptide comprises: (i) an antigen sequence, comprising an amino acid sequence of the mutant p53 polypeptide including the mutation and at least one amino acid immediately adjacent to the mutation, and (ii) a scaffold sequence for providing the antigen sequence in a solvent-accessible configuration, in particular wherein the scaffold sequence is thioredoxin. In the specific embodiments, antibodies against mutant p53 comprising R175H, R248Q or R273H are generated. Also disclosed are the uses of the antibodies for diagnosis, prognosis and stratification of patient groups and further encompasses the use of antibodies for imaging and treatment of cancer.

Abstract: The present disclosure relates to an antigen specific binding domain which binds to RON (Macrophage Stimulating Protein Receptor or Recepteur d'Origine Nantais). The disclosure also extends to chimeric antigen receptors (and a cell expressing the same), antibody molecules (including full length antibodies and fragments thereof, as well as antibody conjugates) containing the antigen binding domains disclosed herein. Also disclosed herein are pharmaceutical compositions comprising the cells, antibody molecules as disclosed herein. The present disclosure also refers to the use of the antigen binding domains, the chimeric antigen receptors, the antibody molecules and the pharmaceutical compositions disclosed herein in therapy, more particularly in treating cancer. Also disclosed herein are radiolabelled antibody conjugates comprising the antigen binding domains as disclosed, and their use in methods of treatment or diagnosis.

Abstract: Disclosed are monoclonal antibodies that bind specifically to macrophage stimulating protein receptor (or RON—Recepteur d' Origine Nantais). Also provided are the chimeric antigen receptors, bispecific antibodies, bivalent antibodies and biTE thereof, as well as pharmaceutical compositions and uses of said antibodies for the treatment of cancer and fibrosis and an ex vivo method of evaluating the status of a cancer patient using said antibodies. In particular, two monoclonal antibodies, 7G8 and 6D4, demonstrating good therapeutic efficacy in inhibiting tumour growth in human xenograft mice models and sensitivity in human xenograft mouse tumour imaging models are provided.

Abstract: The invention relates to methods for producing an antibody which is specific for a mutant p53 polypeptide over wildtype p53 polypeptide, comprising using said mutant p53 polypeptide as an immunogen wherein said polypeptide comprises: (i) an antigen sequence, comprising an amino acid sequence of the mutant p53 polypeptide including the mutation and at least one amino acid immediately adjacent to the mutation, and (ii) a scaffold sequence for providing the antigen sequence in a solvent-accessible configuration, in particular wherein the scaffold sequence is thioredoxin. In the specific embodiments, antibodies against mutant p53 comprising R175H, R248Q or R273H are generated. Also disclosed are the uses of said antibodies for diagnosis, prognosis and stratification of patient groups and further encompasses the use of antibodies for imaging and treatment of cancer.

Abstract: Disclosed are monoclonal antibodies that bind specifically to macrophage stimulating protein receptor (or RON—Recepteur d' Origine Nantais). Also provided are the chimeric antigen receptors, bispecific antibodies, bivalent antibodies and biTE thereof, as well as pharmaceutical compositions and uses of said antibodies for the treatment of cancer and fibrosis and an ex vivo method of evaluating the status of a cancer patient using said antibodies. In particular, two monoclonal antibodies, 7G8 and 6D4, demonstrating good therapeutic efficacy in inhibiting tumour growth in human xenograft mice models and sensitivity in human xenograft mouse tumour imaging models are provided.