Boston Children's Hospital

Pediatric brain MRI segmentation model trained on synthetic scans, so a single 3D U-Net labels clinical acquisitions from neonates to young adults.

Clinical EEG foundation model reading 17 findings — seizures, spikes, slowing, burst suppression, sleep stages — from one pretrained transformer.

Pan-cancer clinico-genomic model for treatment response and survival prediction, transferring zero-shot to unseen hospitals and cancer types.

Peptide-MHC class I binding predictor that scores force-field energy terms from modeled pMHC structures, holding precision on rare HLA alleles.

2D/3D X-ray to volume registration for surgical navigation, aligning live fluoroscopy to preoperative CT or MRI after a five-minute fine-tune.

Self-supervised vision foundation model for structural brain MRI, providing a reusable encoder for brain age, survival, and image classification.

Mass spectrometry proteomics foundation model that jointly embeds MS/MS spectra and peptides in one space, for open and error-tolerant search.