AID4BC Multimodal AI-based Precision Diagnostics and Decision Support for Breast Cancer and Decision Support for Breast Cancer

BACKGROUND   Breast cancer is a heterogeneous disease. Multimodality: mammography, histopathology, RNA sequencing, and health registries. Data acquired at different stages is analyzed separately, often manually.
   AID4BC develops methodology & AI-models for individual/combined data types (rad, path, molecular, clinical), to advance precision diagnostics and treatment decision support.

RESEARCH QUESTIONS   Precision diagnostics to predict response. Clinical & multidisciplinary decision-making by integrated clinical info & AI-predictions.

AIMS   Data-driven multimodal methods:

•     Single/multi-modal AI precision diagnostic;

•     AI-based computer vision, multi-modal modelling, data-driven clinical decision-making;

•     AI research data models & infrastructure, facilitating transition to healthcare.

The world’s largest multi-site/multi-modal study (rad/path, RNAseq, clin data; N >10,000).    

IMPACT   Increase understanding of disease and novel biomarkers to transform diagnosis and management. AI analyses & decision support to reduce costs and increase access to precision diagnostics.

SYNERGY & TEAMS

Karolinska Institute   Predictive/precision diagnostic; comp/clin path; epidemiol; large studies.

Main PI, Senior Lecturer and Assoc Prof Mattias Rantalainen, Prof Johan Hartman, Dr Bojing Liu

Lund University   Unique clinical data; molecular analysis; rad/path AI; virtual clin imaging trials.

Prof S Zackrisson, Assoc Prof J Vallon-Christersson, Assoc Prof P Bakic, Assoc Prof M Dustler.

Uppsala University   Causal foundations for int /ext decision-making; large-scale multi-modal AI.

Assoc Prof D Zachariah, Assoc Senior Lecturer / Assist Prof J Sjölund

Linköping University   Data-driven precision diagnostics; ML/AI-visualization; CMIV infrastructure.

Main PI, Adj Prof C Lundström, Assoc Prof D Jönsson

Industry Collaboration   Sectra, Stratipath, Siemens, ScreenPoint, CMRad, AIDA, SwAIPP.

 CONTACTS: 

magnus [dot] dustler [at] med [dot] lu [dot] se (Magnus Dustler)

predrag [dot] bakic [at] med [dot] lu [dot] se (Predrag Bakic)

https://aid4bc.org