Biophysical Modeling of Cancer In Silico;
Cristini, V, Lowengrub, J & Wang, Z 2019, .

Coupling tumor growth and bio distribution models;
Santagiuliana, R, Milosevic, M, Milicevic, B, Sciumè, G, Simic, V, Ziemys, A, Kojic, M & Schrefler, BA 2019, Biomedical Microdevices, vol. 21, no. 2, 33.

Smeared multiscale finite element model for electrophysiology and ionic transport in biological tissue;
Kojic, M, Milosevic, M, Simic, V, Geroski, V, Ziemys, A, Filipovic, N & Ferrari, M 2019, Computers in Biology and Medicine, vol. 108, pp. 288-304.

Predicting breast cancer response to neoadjuvant chemotherapy based on tumor vascular features in needle biopsies;
Brocato, TA, Brown-Glaberman, U, Wang, Z, Selwyn, RG, Wilson, CM, Wyckoff, EF, Lomo, LC, Saline, JL, Hooda-Nehra, A, Pasqualini, R, Arap, W, Brinker, CJ & Cristini, V 2019, JCI insight, vol. 5.

Improved multiplex immunohistochemistry for immune microenvironment evaluation of mouse formalin-fixed, paraffin-embedded tissues;
Sorrelle, N, Ganguly, D, Dominguez, ATA, Zhang, Y, Huang, H, Dahal, LN, Burton, N, Ziemys, A & Brekken, RA 2019, Journal of Immunology, vol. 202, no. 1, pp. 292-299.

Establishing the effects of mesoporous silica nanoparticle properties on in vivo disposition using imaging-based pharmacokinetics;
Dogra, P, Adolphi, NL, Wang, Z, Lin, YS, Butler, KS, Durfee, PN, Croissant, JG, Noureddine, A, Coker, EN, Bearer, EL, Cristini, V & Brinker, CJ 2018, Nature Communications, vol. 9, no. 1, 4551.

Understanding Ductal Carcinoma in Situ Invasion using a Multiscale Agent-Based Model*;
Joseph Butner, D, Cristini, V & Wang, Z 2018, in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. vol. 2018-July, 8513542, Institute of Electrical and Electronics Engineers Inc. pp. 5846-5849, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, United States, 7/18/18.

Regenerative Medicine to Trump Cancer;
Corradetti, B, Dogra, P, Ferrari, M & Cristini, V 2018, Open Access Government.

A visually apparent and quantifiable CT imaging feature identifies biophysical subtypes of pancreatic ductal adenocarcinoma;
Koay, EJ, Lee, Y, Cristini, V, Lowengrub, JS, Kang, Y, San Lucas, FA, Hobbs, BP, Ye, R, Elganainy, D, Almahariq, M, Amer, AM, Yu, S, Chatterjee, D, Yan, H, Park, PC, Rios Perez, MV, Li, D, Garg, N, Reiss, K, Chauhan, A, Zaid, MM, Nikzad, N, Wolff, RA, Javle, M, Varadhachary, GR, Shroff, RT, Das, P, Lee, JE, Ferrari, M, Maitra, A, Taniguchi, CM, Kim, MP, Crane, CH, Katz, MHG, Wang, H, Bhosale, P, Tamm, EP & Fleming, JB 2018, Clinical Cancer Research, vol. 24, no. 23, pp. 5883-5894.

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