Lab profile
About Zimin Institute for AI Solutions in Healthcare
The Zimin Institute aims to improve healthcare through development and application of machine learning and artificial intelligence technologies across all levels of healthcare and life sciences. This includes precision medicine diagnostics, AI-based therapeutic discovery, clinical routine enhancement, and patient management in hospitals, HMOs, and home treatment. The institute supports needs-based innovation development in academia and guides it toward commercialization.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- Harnessing AI to predict omics signature out of histological data to improve biopsy-based diagnostics and prognosisUsing AI to predict omics signatures from histological data for improved biopsy-based diagnostics and prognosis.
- Cancer diagnostics of biopsies measured by spectral imagingCancer diagnostics using spectral imaging of biopsies.
- AI-boosted affordable MRI for the massesDeveloping AI-enhanced affordable MRI technology.
- A novel AI framework for cancer phenotyping and treatment planningAI framework for cancer phenotyping and treatment planning.
- AI-based optical rapid detection of biomarkersRapid optical detection of biomarkers using AI.
- Personalized recommendation system for treating hospitalized heart failure patients with acute kidney injuryAI-based personalized treatment recommendations for heart failure patients with acute kidney injury.
- Detection of Brain Tumors from Eye Images Using Deep Learning Vision AIDeep learning-based brain tumor detection from eye images.
- AI-Enabled Lens- and Label-Free Non-Invasive Decoding of Cancer Organoids and Proteo-Genomic Development StagesNon-invasive AI-enabled decoding of cancer organoids and proteo-genomic stages.
- AI-Driven Analysis of Heartbeat Interval Dynamics for Atrial Fibrillation Screening in Sinus RhythmAI analysis of heartbeat intervals for atrial fibrillation screening.
- MBSS-T1: AI-Powered Motion Correction for Cardiac T1 Mapping in Free-Breathing MRIAI-powered motion correction for cardiac MRI T1 mapping.
- AI-based optical DNA mapping for fast pathogenFast pathogen detection using AI-based optical DNA mapping.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Single-lead ECG biomarkers for cardiovascular and mortality risk prediction.Physiological measurement · 2026
- Prospective evaluation of a large language model clinical decision support system in the emergency department.Nature medicine · 2026
- Automated readings of imaging reports by natural language processing (NLP) supplemented by clinical data predict disease course in children and adults with Crohn's disease: report from the epi-IIRN.Scandinavian journal of gastroenterology · 2026
Clinical-trial records
- Artificial Intelligence as a Decision Making Tool in Emergency DepartmentNCT06902675 · Active, not recruiting
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- Advanced Graph Search CourseEventJun 30, 2025
- Advances in Deep Learning: TransformersEventJun 30, 2025
- Artificial Intelligence and Higher Education – Where Are We Headed?EventJun 30, 2025
- AI & BEYOND 2025EventFeb 5, 2025
- ICML 2024PublicationJun 30, 2024
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.