Tufts University · EngineeringBladder Cancer Imaging and Diagnostics Lab
Igor Sokolov · Medford, Massachusetts
Research Focus
Igor Sokolov's lab at Tufts University focuses on developing noninvasive diagnostic techniques for bladder cancer using advanced imaging and machine learning. The lab aims to create a test that analyzes the physical characteristics of individual cells from urine samples, potentially improving cancer detection and patient comfort by reducing the need for invasive procedures. This research seeks to enhance early detection methods not only for bladder cancer but also for other cancers that can be diagnosed through bodily fluids.
bladder cancermachine learningatomic force microscopynoninvasive diagnosticscell imaging
Research Aims
3AIM 01Develop a noninvasive test for bladder cancer using urine samples.
AIM 02Optimize atomic force microscopy imaging techniques for cell surface analysis.
AIM 03Identify cancer presence and aggressiveness using machine learning approaches.
Skills the Lab Values
Atomic Force Microscopymachine learningcell extractionimage analysisstatistical modeling
Output against the department
Publications454top 14% of dept.39th of 278
this lab
most publishedleast published
Citations18ktop 23% of dept.63rd of 278
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.