Publications

Xu C, Bulusu KC, Pan H, Elemento O.  2024.  DDI-GPT: Explainable Prediction of Drug-Drug Interactions using Large Language Models enhanced with Knowledge Graphs.. bioRxiv.

Assaad MAl, Shin N, Sigouros M, Manohar J, Antysheva Z, Kotlov N, Kiriy D, Nikitina A, Kleimenov M, Tsareva A et al..  2023.  Deciphering the origin and therapeutic targets of cancer of unknown primary: a case report that illustrates the power of integrative whole-exome and transcriptome sequencing analysis.. Front Oncol. 13:1274163.

Khosravi P, Kazemi E, Imielinski M, Elemento O, Hajirasouliha I.  2018.  Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images.. EBioMedicine. 27:317-328.

Karimzadeh M, Momen-Roknabadi A, Cavazos TB, Fang Y, Chen N-C, Multhaup M, Yen J, Ku J, Wang J, Zhao X et al..  2024.  Deep generative AI models analyzing circulating orphan non-coding RNAs enable detection of early-stage lung cancer.. Nat Commun. 15(1):10090.

Khosravi P, Lysandrou M, Eljalby M, Li Q, Kazemi E, Zisimopoulos P, Sigaras A, Brendel M, Barnes J, Ricketts C et al..  2021.  A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology Fusion.. J Magn Reson Imaging. 54(2):462-471.

Khosravi P, Kazemi E, Zhan Q, Malmsten JE, Toschi M, Zisimopoulos P, Sigaras A, Lavery S, Cooper LAD, Hickman C et al..  2019.  Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization.. NPJ Digit Med. 2:21.

Yao P, Witte D, German A, Periyakoil P, Kim YEun, Gimonet H, Sulica L, Born H, Elemento O, Barnes J et al..  2024.  A deep learning pipeline for automated classification of vocal fold polyps in flexible laryngoscopy.. Eur Arch Otorhinolaryngol. 281(4):2055-2062.

Xu Z, Verma A, Naveed U, Bakhoum SF, Khosravi P, Elemento O.  2021.  Deep learning predicts chromosomal instability from histopathology images.. iScience. 24(5):102394.

Courtiol P, Maussion C, Moarii M, Pronier E, Pilcer S, Sefta M, Manceron P, Toldo S, Zaslavskiy M, Le Stang N et al..  2019.  Deep learning-based classification of mesothelioma improves prediction of patient outcome.. Nat Med. 25(10):1519-1525.

Page DB, Yuan J, Redmond D, Y Wen H, Durack JC, Emerson R, Solomon S, Dong Z, Wong P, Comstock C et al..  2016.  Deep Sequencing of T-cell Receptor DNA as a Biomarker of Clonally Expanded TILs in Breast Cancer after Immunotherapy.. Cancer Immunol Res. 4(10):835-844.

Jiang Y, Redmond D, Nie K, Eng KW, Clozel T, Martin P, Tan LHc, Melnick AM, Tam W, Elemento O.  2014.  Deep sequencing reveals clonal evolution patterns and mutation events associated with relapse in B-cell lymphomas.. Genome Biol. 15(8):432.

Kim YE, Dobko M, Li H, Shao T, Periyakoil P, Tipton C, Colasacco C, Serpedin A, Elemento O, Sabuncu M et al..  2025.  A Deep-Learning Model for Multi-class Audio Classification of Vocal Fold Pathologies in Office Stroboscopy.. Laryngoscope. 135(7):2428-2436.

Markowitz GJ, Ban Y, Tavarez DA, Yoffe L, Podaza E, He Y, Martin MT, Crowley MJP, Sandoval TA, Gao D et al..  2024.  Deficiency of metabolic regulator PKM2 activates the pentose phosphate pathway and generates TCF1 progenitor CD8 T cells to improve immunotherapy.. Nat Immunol. 25(10):1884-1899.

Markowitz GJ, Ban Y, Tavarez DA, Yoffe L, Podaza E, He Y, Martin MT, Crowley MJP, Sandoval TA, Gao D et al..  2023.  Deficiency of metabolic regulator PKM2 activates the pentose phosphate pathway and generates TCF1+ progenitor CD8+ T cells to improve checkpoint blockade.. Res Sq.

Rickman KA, Lach FP, Abhyankar A, Donovan FX, Sanborn EM, Kennedy JA, Sougnez C, Gabriel SB, Elemento O, Chandrasekharappa SC et al..  2015.  Deficiency of UBE2T, the E2 Ubiquitin Ligase Necessary for FANCD2 and FANCI Ubiquitination, Causes FA-T Subtype of Fanconi Anemia.. Cell Rep. 12(1):35-41.

Puca L, Gavyert K, Sailer V, Conteduca V, Dardenne E, Sigouros M, Isse K, Kearney M, Vosoughi A, Fernandez L et al..  2019.  Delta-like protein 3 expression and therapeutic targeting in neuroendocrine prostate cancer.. Sci Transl Med. 11(484)

Marderstein AR, Uppal M, Verma A, Bhinder B, Tayyebi Z, Mezey J, Clark AG, Elemento O.  2020.  Demographic and genetic factors influence the abundance of infiltrating immune cells in human tissues.. Nat Commun. 11(1):2213.

Berchuck JE, Baca SC, McClure HM, Korthauer K, Tsai HK, Nuzzo PVitale, Kelleher KM, He M, Steinharter JA, Zacharia S et al..  2022.  Detecting Neuroendocrine Prostate Cancer Through Tissue-Informed Cell-Free DNA Methylation Analysis.. Clin Cancer Res. 28(5):928-938.

Ohara K, Assaad MAl, McNulty SN, Alnajar H, Sboner A, Wilkes DC, He F, Xiang JZhaoying, Mathew S, Elemento O et al..  2025.  Detection of rare and novel gene fusions in patients with diffuse glioma: An institutional retrospective study.. J Neuropathol Exp Neurol. 84(3):269-271.

Greenberg JA, Shah Y, Ivanov NA, Marshall T, Kulm S, Williams J, Tran C, Scognamiglio T, Heymann JJ, Lee-Saxton YJ et al..  2024.  Developing a Predictive Model for Metastatic Potential in Pancreatic Neuroendocrine Tumor.. J Clin Endocrinol Metab. 110(1):263-274.

Elemento O.  2007.  Developing a systems-level understanding of gene expression.. Genome Biol. 8(4):304.

Rennert H, Eng K, Zhang T, Tan A, Xiang J, Romanel A, Kim R, Tam W, Liu Y-C, Bhinder B et al..  2016.  Development and validation of a whole-exome sequencing test for simultaneous detection of point mutations, indels and copy-number alterations for precision cancer care.. NPJ Genom Med. 1

Erler P, Keutgen XM, Crowley MJ, Zetoune T, Kundel A, Kleiman D, Beninato T, Scognamiglio T, Elemento O, Zarnegar R et al..  2014.  Dicer expression and microRNA dysregulation associate with aggressive features in thyroid cancer.. Surgery. 156(6):1342-50;discussion1350.

Cox N, Crozet L, Holtman IR, Loyher P-L, Lazarov T, White JB, Mass E, E Stanley R, Elemento O, Glass CK et al..  2021.  Diet-regulated production of PDGFcc by macrophages controls energy storage.. Science. 373(6550)

Lourenco ARita, Ban Y, Crowley MJ, Lee SB, Ramchandani D, Du W, Elemento O, George JT, Jolly MKumar, Levine H et al..  2020.  Differential Contributions of Pre- and Post-EMT Tumor Cells in Breast Cancer Metastasis.. Cancer Res. 80(2):163-169.