Machine-Learning Provides Patient-Specific Prediction of Metastatic Risk Based on Innovative, Mechanobiology Assay

Rapid Cancer Diagnosis and Early Prognosis of Metastatic Risk Based on Mechanical Invasiveness of Sampled Cells

(2020) Y. Merkher et al.   ANNALS OF BIOMEDICAL ENGINEERING

Cancer statistics, 2019

(2019) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma

(2019) Andrés M. Bur et al.   ORAL ONCOLOGY

A microfluidic assay for the quantification of the metastatic propensity of breast cancer specimens

(2019) Christopher L. Yankaskas et al.   Nature Biomedical Engineering

Cancer screening in the United States, 2018: A review of current American Cancer Society guidelines and current issues in cancer screening

(2018) Robert A. Smith et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Clinical Proof-of-concept of a Novel Platform Utilizing Biopsy-derived Live Single Cells, Phenotypic Biomarkers, and Machine Learning Toward a Precision Risk Stratification Test for Prostate Cancer Grade Groups 1 and 2 (Gleason 3 + 3 and 3 + 4)

(2018) David Albala et al.   UROLOGY

Predicting Invasive Disease-Free Survival for Early Stage Breast Cancer Patients Using Follow-Up Clinical Data

(2018) Bo Fu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Effect of Axillary Dissection vs No Axillary Dissection on 10-Year Overall Survival Among Women With Invasive Breast Cancer and Sentinel Node Metastasis

(2017) Armando E. Giuliano et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Prognostic and predictive biomarkers in breast cancer: Past, present and future

(2017) Andrea Nicolini et al.   SEMINARS IN CANCER BIOLOGY

Cell–Gel Mechanical Interactions as an Approach to Rapidly and Quantitatively Reveal Invasive Subpopulations of Metastatic Cancer Cells

(2017) Martha B. Alvarez-Elizondo et al.   TISSUE ENGINEERING PART C-METHODS

Metastatic breast cancer cells adhere strongly on varying stiffness substrates, initially without adjusting their morphology

(2016) Sonbula Massalha et al.   Biomechanics and Modeling in Mechanobiology

Quantitative measures to reveal coordinated cytoskeleton-nucleus reorganization duringin vitroinvasion of cancer cells

(2015) Liron Dvir et al.   NEW JOURNAL OF PHYSICS

Addressing overtreatment in breast cancer

(2013) Steven J. Katz et al.   CANCER

Metastatic cancer cells tenaciously indent impenetrable, soft substrates

(2013) R Kristal-Muscal et al.   NEW JOURNAL OF PHYSICS

Particle tracking in living cells: a review of the mean square displacement method and beyond

(2013) Naama Gal et al.   RHEOLOGICA ACTA

Gene-Expression-Based Cancer Subtypes Prediction Through Feature Selection and Transductive SVM

(2012) U. Maulik et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Cellular Traction Stresses Increase with Increasing Metastatic Potential

(2012) Casey M. Kraning-Rush et al.   PLoS One

Mechanical Stiffness Grades Metastatic Potential in Patient Tumor Cells and in Cancer Cell Lines

(2011) V. Swaminathan et al.   CANCER RESEARCH

Overdiagnosis in Cancer

(2010) H. G. Welch et al.   JNCI-Journal of the National Cancer Institute

Plasticity of cell migration: a multiscale tuning model

(2009) Peter Friedl et al.   JOURNAL OF CELL BIOLOGY