Publications

Bayou N, Henretta S, Munoz-Arcos L, Molteni E, Gianni C, Serafini MSerena, Nicolò E, Pontolillo L, Pasto B, Gaudio HAndrew et al..  2025.  Quantitative HER2 profiling on circulating tumor cells using an EpCAM-independent platform in metastatic breast cancer.. Cancer Cell Int. 25(1):439.

Dixon G, Pan H, Yang D, Rosen BP, Jashari T, Verma N, Pulecio J, Caspi I, Lee K, Stransky S et al..  2021.  QSER1 protects DNA methylation valleys from de novo methylation.. Science. 372(6538)

Baca SC, Prandi D, Lawrence MS, Mosquera JMiguel, Romanel A, Drier Y, Park K, Kitabayashi N, MacDonald TY, Ghandi M et al..  2013.  Punctuated evolution of prostate cancer genomes.. Cell. 153(3):666-77.

Verma N, Pan H, Doré LC, Shukla A, Li QV, Pelham-Webb B, Teijeiro V, González F, Krivtsov A, Chang C-J et al..  2018.  Publisher Correction: TET proteins safeguard bivalent promoters from de novo methylation in human embryonic stem cells.. Nat Genet. 50(5):764.

Buqué A, Bloy N, Perez-Lanzón M, Iribarren K, Humeau J, Pol JG, Levesque S, Mondragon L, Yamazaki T, Sato A et al..  2020.  Publisher Correction: Immunoprophylactic and immunotherapeutic control of hormone receptor-positive breast cancer.. Nat Commun. 11(1):4787.

Segal E, Zhang F, Lin X, King G, Shalem O, Shilo S, Allen WE, Alquaddoomi F, Altae-Tran H, Anders S et al..  2020.  Publisher Correction: Building an international consortium for tracking coronavirus health status.. Nat Med. 26(8):1309.

Crowley MJP, Scognamiglio T, Liu Y-F, Kleiman DA, Beninato T, Aronova A, Liu H, Jhanwar YS, Molina A, Tagawa ST et al..  2016.  Prostate-Specific Membrane Antigen Is a Potential Antiangiogenic Target in Adrenocortical Carcinoma.. J Clin Endocrinol Metab. 101(3):981-7.

Subbaramaiah K, Iyengar NM, Morrow M, Elemento O, Zhou XKathy, Dannenberg AJ.  2019.  Prostaglandin E down-regulates sirtuin 1 (SIRT1), leading to elevated levels of aromatase, providing insights into the obesity-breast cancer connection.. J Biol Chem. 294(1):361-371.

Rendeiro AF, Casano J, Vorkas CKyriakos, Singh H, Morales A, DeSimone RA, Ellsworth GB, Soave R, Kapadia SN, Saito K et al..  2021.  Profiling of immune dysfunction in COVID-19 patients allows early prediction of disease progression.. Life Sci Alliance. 4(2)

Sloan SL, Brown F, Long M, Weigel C, Koirala S, Chung J-H, Pray B, Villagomez L, Hinterschied C, Sircar A et al..  2023.  PRMT5 supports multiple oncogenic pathways in mantle cell lymphoma.. Blood. 142(10):887-902.

Brown-Burke F, Hwang I, Sloan S, Hinterschied C, Helmig-Mason JB, Long M, Chan WKeung, Prouty A, Chung J-H, Zhang Y et al..  2023.  PRMT5 inhibition drives therapeutic vulnerability to combination treatment with BCL-2 inhibition in mantle cell lymphoma.. Blood Adv. 7(20):6211-6224.

Sboner A, Elemento O.  2016.  A primer on precision medicine informatics.. Brief Bioinform. 17(1):145-53.

Curchoe CLynn, Malmsten J, Bormann C, Shafiee H, Farias AFlores-Sai, Mendizabal G, Chavez-Badiola A, Sigaras A, Alshubbar H, Chambost J et al..  2020.  Predictive modeling in reproductive medicine: Where will the future of artificial intelligence research take us? Fertil Steril. 114(5):934-940.

Liberti MV, Dai Z, Wardell SE, Baccile JA, Liu X, Gao X, Baldi R, Mehrmohamadi M, Johnson MO, Madhukar NS et al..  2017.  A Predictive Model for Selective Targeting of the Warburg Effect through GAPDH Inhibition with a Natural Product.. Cell Metab. 26(4):648-659.e8.

Nwachukwu JC, Srinivasan S, Zheng Y, Wang S, Min J, Dong C, Liao Z, Nowak J, Wright NJ, Houtman R et al..  2016.  Predictive features of ligand-specific signaling through the estrogen receptor.. Mol Syst Biol. 12(4):864.

Madhukar NS, Elemento O, Pandey G.  2015.  Prediction of Genetic Interactions Using Machine Learning and Network Properties.. Front Bioeng Biotechnol. 3:172.

Bai Z, Osman M, Brendel M, Tangen CM, Flaig TW, Thompson IM, Plets M, M Lucia S, Theodorescu D, Gustafson D et al..  2025.  Predicting response to neoadjuvant chemotherapy in muscle-invasive bladder cancer via interpretable multimodal deep learning.. NPJ Digit Med. 8(1):174.

Boehm KMichael, Bhinder B, Raja VJoseph, Dephoure N, Elemento O.  2019.  Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome.. BMC Bioinformatics. 20(1):7.

Charilaou P, Mohapatra S, Doukas S, Kohli M, Radadiya D, Devani K, Broder A, Elemento O, Lukin DJ, Battat R.  2023.  Predicting inpatient mortality in patients with inflammatory bowel disease: A machine learning approach.. J Gastroenterol Hepatol. 38(2):241-250.

Lue JK, Prabhu SA, Liu Y, Gonzalez Y, Verma A, Mundi PS, Abshiru N, Camarillo JM, Mehta S, Chen EI et al..  2019.  Precision Targeting with EZH2 and HDAC Inhibitors in Epigenetically Dysregulated Lymphomas.. Clin Cancer Res. 25(17):5271-5283.

Hajirasouliha I, Elemento O.  2020.  Precision medicine and artificial intelligence: overview and relevance to reproductive medicine.. Fertil Steril. 114(5):908-913.

Carty MA, Elemento O.  2016.  Practical Analysis of Genome Contact Interaction Experiments.. Methods Mol Biol. 1418:177-89.

Glass J, Elemento O.  2024.  The power and perils of large language models in haematology.. Br J Haematol. 205(6):2190-2192.

Kandola MS, Kulm S, Kim LK, Markowitz SM, Liu CF, Thomas G, Ip JE, Lerman BB, Elemento O, Cheung JW.  2023.  Population-Level Prevalence of Rare Variants Associated With Atrial Fibrillation and its Impact on Patient Outcomes.. JACC Clin Electrophysiol. 9(7 Pt 2):1137-1146.

De Boni L, Claridge S, Nath S, Tofani K, Stein BD, Park E, Steiner S, Elemento O, Pauli C, Hopkins BD.  2026.  Placing purines in precision medicine: Targeting a metabolic reliance in KRAS-mutant tumors.. iScience. 29(3):114954.