Elemento Lab

Publications

Found 513 results
Journal Article
Puca L, Bareja R, Prandi D, Shaw R, Benelli M, Karthaus WR, Hess J, Sigouros M, Donoghue A, Kossai M et al..  2018.  Patient derived organoids to model rare prostate cancer phenotypes.. Nat Commun. 9(1):2404.
Fiore D, Cappelli LVincenzo, Zhaoqi L, Kotlov N, Sorokina M, Phillip J, Zumbo P, Yoffe L, Ghione P, Wang A et al..  2025.  A patient-derived T cell lymphoma biorepository uncovers pathogenetic mechanisms and host-related therapeutic vulnerabilities.. Cell Rep Med. 6(4):102029.
Rowdo FPMadorsky, Xiao G, Khramtsova GF, Nguyen J, Olopade OI, Martini R, Stonaker B, Boateng R, Oppong JK, Adjei EK et al..  2023.  Patient-derived tumor organoids with p53 mutations, and not wild-type p53, are sensitive to synergistic combination PARP inhibitor treatment.. bioRxiv.
Rowdo FPMadorsky, Xiao G, Khramtsova GF, Nguyen J, Martini R, Stonaker B, Boateng R, Oppong JK, Adjei EK, Awuah B et al..  2024.  Patient-derived tumor organoids with p53 mutations, and not wild-type p53, are sensitive to synergistic combination PARP inhibitor treatment.. Cancer Lett. 584:216608.
K Devi SP, Wang E, Jaiswal A, Konieczny P, Kim T-G, Nirschl CJ, Verma A, Liu Y, Milczanowski J, Christo SN et al..  2025.  PD-1 is requisite for skin T cell formation and specification by TGFβ.. Nat Immunol. 26(8):1339-1351.
Park K, Tran H, Eng KW, Ramazanoglu S, Rolon RMMarrero, Scognamiglio T, Borczuk A, Mosquera JMiguel, Pan Q, Sboner A et al..  2020.  Performance Characteristics of a Targeted Sequencing Platform for Simultaneous Detection of Single Nucleotide Variants, Insertions/Deletions, Copy Number Alterations, and Gene Fusions in Cancer Genome.. Arch Pathol Lab Med.
Rendeiro AF, Ravichandran H, Kim J, Borczuk AC, Elemento O, Schwartz RE.  2022.  Persistent alveolar type 2 dysfunction and lung structural derangement in post-acute COVID-19.. medRxiv.
Pauli C, Hopkins BD, Prandi D, Shaw R, Fedrizzi T, Sboner A, Sailer V, Augello M, Puca L, Rosati R et al..  2017.  Personalized and Cancer Models to Guide Precision Medicine.. Cancer Discov. 7(5):462-477.
Lundquist MR, Goncalves MD, Loughran RM, Possik E, Vijayaraghavan T, Yang A, Pauli C, Ravi A, Verma A, Yang Z et al..  2018.  Phosphatidylinositol-5-Phosphate 4-Kinases Regulate Cellular Lipid Metabolism By Facilitating Autophagy.. Mol Cell. 70(3):531-544.e9.
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.
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.
Glass J, Elemento O.  2024.  The power and perils of large language models in haematology.. Br J Haematol. 205(6):2190-2192.
Carty MA, Elemento O.  2016.  Practical Analysis of Genome Contact Interaction Experiments.. Methods Mol Biol. 1418:177-89.
Hajirasouliha I, Elemento O.  2020.  Precision medicine and artificial intelligence: overview and relevance to reproductive medicine.. Fertil Steril. 114(5):908-913.
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.
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.
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.
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.
Madhukar NS, Elemento O, Pandey G.  2015.  Prediction of Genetic Interactions Using Machine Learning and Network Properties.. Front Bioeng Biotechnol. 3:172.
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.
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.
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.
Sboner A, Elemento O.  2016.  A primer on precision medicine informatics.. Brief Bioinform. 17(1):145-53.
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.
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.