FUSION NAVIGATOR

Functional Unit State Identification for WSI INTEGRATING MOLECULAR AND STRUCTURAL OMICS FOR BIOLOGICAL DISCOVERY AND PRECISION MEDICINE

AI-driven visualization and quantification of spatial OMICS

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WHAT IS FUSION

FUSION is an interactive interface to view spatial transcriptomics data integrated with histopathology.  This is driven by artificial intelligence (AI).  AI segments Functional Tissue Units (FTU) and links these with gene expression data that informs on major and minor healthy and injured cell types directly mapped on histological features on the FTUs in the WSI.

HOW FUSION WORKS

State of the art machine learning algorithms in a user-friendly data input interface

Highly interactive frontend design to drive hypothesis development and testing

Cloud-hosted data storage made possible through Digital Slide Archive (DSA)

We want people to test FUSION 

Bring your own data!

KEY Developers

PH.D. STUDENT, BIOMEDICAL ENGINEERING

Samuel Border

Research: Computational Pathology

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ASSISTANT SCIENTIST

Anindya Sankar Paul

Expertise: Deep Learning, Federated Learning, Secure and Privacy Preserving AI, Signal Processing, Medical Imaging

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SENIOR SOFTWARE ENGINEER

Sayat Mimar

Expertise: AI, Data Science, Software Development

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Nicholas Lucarelli PH.D. STUDENT, BIOMEDICAL ENGINEERING
Jessica Kirwan Project Manager
Suraj Ramadugu Image Analysis User Support
Suhas Katari Chaluva Kumar System Analyst
Ujwala Guttikonda Data Management Analyst
Sumanth Devarasetty Web Developer
Praveen Kumar Dande System Analyst
Nikhil Yerra Data Management Analyst
Haitham Magdy Data Management Analyst
Annika Holmstrom Usability Coordinator

rest of the UFL HIVE Team

KITWARE INC

David Manthey

Software and Production

David Manthey

HARVARD University

Lettie McGuire

Research Designer

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Laura Barisoni Usability
Jessica Ray Usability
Yulia A. L. Strekalova PEDP Lead
Tarek Ashkar Data Generation
Seth Winfree Analytics

contact details

Contact Sam Border <samuel.border@medicine.ufl.edu> and Pinaki Sarder <pinaki.sarder@ufl.edu> with queries, request for testing, and suggestions for enhancing FUSION. 

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