Publications
Empirical noise performance of prototype active pixel arrays employing polycrystalline silicon thin-film transistors
Koniczek, M,
Antonuk, LE,
El-Mohri, Y,
Liang, AK,
Zhao, Q,
Med Phys, 2020 Sep; DOI:10.1002/mp.14321 A Comparison of Sepsis-2 (Systemic Inflammatory Response Syndrome Based) to Sepsis-3 (Sequential Organ Failure Assessment Based) Definitions-A Multicenter Retrospective Study∗
Engoren, M,
Seelhammer, T,
Freundlich, RE,
Maile, MD,
Sigakis, MJG,
Schwann, TA,
Crit Care Med, 2020 Sep; DOI:10.1097/CCM.0000000000004449 HRS/EHRA/APHRS/LAHRS/ACC/AHA worldwide practice update for telehealth and arrhythmia monitoring during and after a pandemic.
Varma, N,
Marrouche, NF,
Aguinaga, L,
Albert, CM,
Arbelo, E,
Choi, J-I,
Chung, MK,
Conte, G,
Dagher, L,
Epstein, LM,
Ghanbari, H,
Han, JK,
Heidbuchel, H,
Huang, H,
Lakkireddy, DR,
Ngarmukos, T,
Russo, AM,
Saad, EB,
Saenz Morales, LC,
Sandau, KE,
Heart Rhythm, 2020 Sep; DOI:10.1016/j.hrthm.2020.06.010 Using Social Media to Disseminate Ophthalmic Information during the #COVID19 Pandemic
Tsui, E,
Rao, RC,
Carey, AR,
Feng, MT,
Provencher, LM,
Ophthalmology, 2020 Sep; DOI:10.1016/j.ophtha.2020.05.048 Evolution of Do-It-Yourself Remote Monitoring Technology for Type 1 Diabetes
Ng, M,
Borst, E,
Garrity, A,
Hirschfeld, E,
Lee, J,
J Diabetes Sci Technol, 2020 Sep; DOI:10.1177/1932296819895537 Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations
Ming, C,
Viassolo, V,
Probst-Hensch, N,
Dinov, ID,
Chappuis, PO,
Katapodi, MC,
Br J Cancer, 2020 Sep; DOI:10.1038/s41416-020-0937-0 Motor Modules are Impacted by the Number of Reaching Directions Included in the Analysis
Augenstein, TE,
Washabaugh, EP,
Remy, CD,
Krishnan, C,
IEEE Trans Neural Syst Rehabil Eng, 2020 Sep; DOI:10.1109/TNSRE.2020.3008565 The Time Is Now: A Guide to Sustainable Telemedicine During COVID-19 and Beyond
Shah, ED,
Amann, ST,
Karlitz, JJ,
Am J Gastroenterol, 2020 Sep; DOI:10.14309/ajg.0000000000000767 Delivering Cancer Care during the COVID-19 Pandemic: Recommendations and Lessons Learned from ASCO Global Webinars
Jazieh, AR,
Chan, SL,
Curigliano, G,
Dickson, N,
Eaton, V,
Garcia-Foncillas, J,
Gilmore, T,
Horn, L,
Kerr, DJ,
Lee, J,
Mathias, C,
Nogueira-Rodrigues, A,
Pierce, L,
Rogado, A,
Schilsky, RL,
Soria, J-C,
Warner, JL,
Yoshida, K,
JCO Glob Oncol, 2020 Sep; DOI:10.1200/GO.20.00423 Machine Learning and Prediction of All-Cause Mortality in COPD
Moll, M,
Qiao, D,
Regan, EA,
Hunninghake, GM,
Make, BJ,
Tal-Singer, R,
McGeachie, MJ,
Castaldi, PJ,
San Jose Estepar, R,
Washko, GR,
Wells, JM,
LaFon, D,
Strand, M,
Bowler, RP,
Han, MK,
Vestbo, J,
Celli, B,
Calverley, P,
Crapo, J,
Silverman, EK,
Chest, 2020 Sep; DOI:10.1016/j.chest.2020.02.079 Fast Quantitative Analysis of timsTOF PASEF Data with MSFragger and IonQuant
Yu, F,
Haynes, SE,
Teo, GC,
Avtonomov, DM,
Polasky, DA,
Nesvizhskii, AI,
Mol Cell Proteomics, 2020 Sep; DOI:10.1074/mcp.TIR120.002048 Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale
Li, X,
Li, Z,
Zhou, H,
Gaynor, SM,
Liu, Y,
Chen, H,
Sun, R,
Dey, R,
Arnett, DK,
Aslibekyan, S,
Ballantyne, CM,
Bielak, LF,
Blangero, J,
Boerwinkle, E,
Bowden, DW,
Broome, JG,
Conomos, MP,
Correa, A,
Cupples, LA,
Curran, JE,
Nat Genet, 2020 Sep; DOI:10.1038/s41588-020-0676-4 Capturing cell type-specific chromatin compartment patterns by applying topic modeling to single-cell Hi-C data
Kim, H-J,
Yardımcı, GG,
Bonora, G,
Ramani, V,
Liu, J,
Qiu, R,
Lee, C,
Hesson, J,
Ware, CB,
Shendure, J,
Duan, Z,
Noble, WS,
PLoS Comput Biol, 2020 Sep; DOI:10.1371/journal.pcbi.1008173 Perspectives on Oncology-Specific Language during the Coronavirus Disease 2019 Pandemic: A Qualitative Study
Gharzai, LA,
Resnicow, K,
An, LC,
Jagsi, R,
JAMA Oncol, 2020 Sep; DOI:10.1001/jamaoncol.2020.2980 Reflections on the Values of Community-Based Participatory Research in Supporting Mobile Health Technology Use
Merid, B,
Whitfield, CO,
Skolarus, LE,
Circ Cardiovasc Qual Outcomes, 2020 Sep; DOI:10.1161/CIRCOUTCOMES.120.007131 Development and pilot study of an iOS smartphone application for perioperative functional capacity assessment
Rubin, DS,
Dalton, A,
Tank, A,
Berkowitz, M,
Arnolds, DE,
Liao, C,
Gerlach, RM,
Anesth Analg, 2020 Sep; DOI:10.1213/ANE.0000000000004440 Multiomic blood correlates of genetic risk identify presymptomatic disease alterations
Wainberg, M,
Magis, AT,
Earls, JC,
Lovejoy, JC,
Sinnott-Armstrong, N,
Omenn, GS,
Hood, L,
Price, ND,
Proc Natl Acad Sci U S A, 2020 Sep; DOI:10.1073/pnas.2001429117 Artificial intelligence in drug discovery: Into the great wide open
Bajorath, J,
Kearnes, S,
Walters, WP,
Meanwell, NA,
Georg, GI,
Wang, S,
J Med Chem, 2020 Aug; DOI:10.1021/acs.jmedchem.0c01077 A dose voxel kernel method for rapid reconstruction of out-of-field neutron dose of patients in pencil beam scanning (PBS) proton therapy
Yeom, YS,
Griffin, K,
Mille, M,
Jung, JW,
Lee, C,
Lee, C,
Phys Med Biol, 2020 Aug; DOI:10.1088/1361-6560/abaa5f Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics
Yang, M,
Petralia, F,
Li, Z,
Li, H,
Ma, W,
Song, X,
Kim, S,
Lee, H,
Yu, H,
Lee, B,
Bae, S,
Heo, E,
Kaczmarczyk, J,
Stępniak, P,
Warchoł, M,
Yu, T,
Calinawan, AP,
Boutros, PC,
Payne, SH,
Reva, B,
Cell Syst, 2020 Aug; DOI:10.1016/j.cels.2020.06.013 COVID-19: A driver for disruptive innovation of the emergency medicine residency application process
Pelletier-Bui, A,
Franzen, D,
Smith, L,
Hopson, L,
Lutfy-Clayton, L,
Parekh, K,
Olaf, M,
Morrissey, T,
Gordon, D,
McDonough, E,
Schnapp, BH,
Edens, MA,
Kiemeney, M,
West J Emerg Med, 2020 Aug; DOI:10.5811/westjem.2020.8.48234 Sensory-discriminative three-dimensional body pain mobile app measures versus traditional pain measurement with a visual analog scale: Validation study
Kaciroti, N,
DosSantos, MF,
Moura, B,
Bellile, EL,
Nascimento, TD,
Maslowski, E,
Danciu, TE,
Donnell, A,
DaSilva, AF,
JMIR Mhealth Uhealth, 2020 Aug; DOI:10.2196/17754 Functionally weighted airway sparing (FWAS): A functional avoidance method for preserving post-treatment ventilation in lung radiotherapy
Vicente, E,
Modiri, A,
Kipritidis, J,
Hagan, A,
Yu, K,
Wibowo, H,
Yan, Y,
Owen, DR,
Matuszak, MM,
Mohindra, P,
Timmerman, R,
Sawant, A,
Phys Med Biol, 2020 Aug; DOI:10.1088/1361-6560/ab9f5d Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes
Takahashi, Y,
Ueki, M,
Tamiya, G,
Ogishima, S,
Kinoshita, K,
Hozawa, A,
Minegishi, N,
Nagami, F,
Fukumoto, K,
Otsuka, K,
Tanno, K,
Sakata, K,
Shimizu, A,
Sasaki, M,
Sobue, K,
Kure, S,
Yamamoto, M,
Tomita, H,
Transl Psychiatry, 2020 Aug; DOI:10.1038/s41398-020-00957-5 Quantifying the brain metastatic tumor microenvironment using an organ-on-a chip 3D model, machine learning, and confocal tomography
Oliver, CR,
Westerhof, TM,
Castro, MG,
Merajver, SD,
J Vis Exp, 2020 Aug; DOI:10.3791/61654 