Medtech company Invamed has released their new clinical platform for beta enrollment as an AI-powered diagnostic application for imaging, lab, and genomic data.
Invamed’s Quantum offering was built on a large-scale multimodal transformer and trained on data points from global imaging archives, deidentified lab panels, genome sequences, and clinical literature, the company said in a statement.
Following the upload of imaging, lab, and genomic data onto the smartphone app, Quantum builds a biophysical simulation, i.e., a patient’s “digital twin,” according to Invamed. The platform will then offer recommendations for treatments, doses, and procedures, ranking them in order of efficacy and minimal adverse effects.
Quantum runs on iOS, Android, and modern browsers, Invamed added.
Invamed noted that it will be enrolling beta users through July 25, 2025. Developers and licensed clinicians who apply through Invamed’s website will gain access to REST/GraphQL APIs, synthetic MR and histology datasets, and a Docker-based AI-sandbox for custom module development.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
