{"entity":{"id":"ai-computation","kind":"section","name":"AI & Computation","aka":[],"tldr":"Software that reads scans and slides, predicts outcomes, designs drugs, and matches patients to trials.","summary":"AI and computation collects the software that reads scans and slides, predicts outcomes, designs drugs and matches patients to trials. It covers FDA-cleared digital pathology risk tools such as ArteraAI, radiology triage and screening models, pathology and radiology foundation models, multimodal patient-level models, AI-driven target discovery and ADC design, and LLM-based trial matching and tumour-board support. Listed technologies include federated learning, CHIEF, Phikon, CT-FM, MedSAM, Aidoc CARE, CellFM, GenePT, Nucleotide Transformer, Enformer and Borzoi, and NVIDIA BioNeMo. Records pointing here include AI in radiology, digital pathology and AI, AI trial matching, AI-driven drug and target discovery, and the companies Tempus AI, BostonGene, Artera, Paige AI, PathAI and Owkin.","asOf":"2026-09-04","links":[{"label":"NCI: Artificial intelligence in cancer research","url":"https://www.cancer.gov/research/infrastructure/artificial-intelligence"}],"tags":[],"related":[],"cancers":[],"sections":[],"technologies":["federated-learning-medical-ai","chief","phikon","ct-fm","medsam","aidoc-care","cellfm","genept","nucleotide-transformer","enformer-borzoi","bionemo"],"targets":[],"drugs":[],"companies":["aluna","mednet"],"institutions":[],"pathways":[],"terms":[],"trials":[],"people":[],"bottlenecks":[],"keyPapers":[],"journals":["jco-clinical-cancer-informatics","jmir-cancer"],"dependsOn":[],"notes":[],"order":15,"icon":"chip"},"route":"/fronts/ai-computation/","neighbours":{"technology":[{"id":"adaptive-therapy-dynamics","kind":"technology","name":"Adaptive therapy 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