Monash University
A public research university in Melbourne, Australia, pursuing mission-led research across medicine, engineering, and the life sciences.
Models (9)
Conditional denoising diffusion model that designs antigen-specific TCR CDR3β sequences conditioned on peptide-MHC targets and germline V-genes.
Dirichlet flow-matching model for protein design that generates family-aware sequences from ancestral-reconstruction priors, not random noise.
Graph-transformer foundation model pretrained on 3M protein pockets and 5M molecules as E(3)-equivariant graphs for protein-ligand representation.
5.6M-parameter multimodal foundation model fusing fMRI time series with diffusion-MRI structural connectivity in a shared ROI embedding space.
EyeCLIP
The Hong Kong Polytechnic University / EPFL / Clemson University / Zhejiang University School of Medicine / Shanghai Jiao Tong University / Monash University
Released June 21, 2025
CLIP-based vision-language foundation model for eye imaging, enabling zero-shot disease detection and cross-modal retrieval across 11 modalities.
DNA and RNA language model with a data-driven 4,096-token unigram vocabulary, matching larger genomic foundation models at 89.2M parameters.
GMAI-VL-R1
Shanghai AI Laboratory / Fuzhou University / Shanghai Innovation Institute / Fudan University / Monash University / University of Washington / Stanford University
Released April 2, 2025
General medical vision-language model trained with reinforcement learning to reason step by step over medical images for diagnosis and visual QA.
KcatNet
Monash University / Beijing University of Chemical Technology / Virginia Commonwealth University / University of Melbourne
Released March 13, 2025
Enzyme turnover number (kcat) prediction from sequence and substrate SMILES, scaling to genome-wide kinetic parameters for metabolic modeling.
Histology-anchored framework pairing an H&E foundation model with a cellular hypergraph to predict single-cell multi-omics from tissue images.