Advancing Digital Medicine with Wearables in the Wild von McGinnis, Ryan S., McGinnis, Ellen W.

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BLAST: at the core of a powerful and diverse set of sequence analysis tools von McGinnis, Scott, Madden, Thomas L.

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Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning von McGinnis, Ryan S, McGinnis, Ellen W, Hruschak, Jessica, Lopez-Duran, Nestor L, Fitzgerald, Kate, Rosenblum, Katherine L, Muzik, Maria

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Inertial Sensors-Applications and Challenges in a Nutshell von Seel, Thomas, Kok, Manon, McGinnis, Ryan S.

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Monitoring gait in multiple sclerosis with novel wearable motion sensors von Moon, Yaejin, McGinnis, Ryan S, Seagers, Kirsten, Motl, Robert W, Sheth, Nirav, Wright, Jr, John A, Ghaffari, Roozbeh, Sosnoff, Jacob J

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Lineage tracing reveals the phylodynamics, plasticity, and paths of tumor evolution von Yang, Dian, Jones, Matthew G., Naranjo, Santiago, Rideout, William M., Min, Kyung Hoi (Joseph), Ho, Raymond, Wu, Wei, Replogle, Joseph M., Page, Jennifer L., Quinn, Jeffrey J., Horns, Felix, Qiu, Xiaojie, Chen, Michael Z., Freed-Pastor, William A., McGinnis, Christopher S., Patterson, David M., Gartner, Zev J., Chow, Eric D., Bivona, Trever G., Chan, Michelle M., Yosef, Nir, Jacks, Tyler, Weissman, Jonathan S.

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Human microglia states are conserved across experimental models and regulate neural stem cell responses in chimeric organoids von Popova, Galina, Soliman, Sarah S., Kim, Chang N., Keefe, Matthew G., Hennick, Kelsey M., Jain, Samhita, Li, Tao, Tejera, Dario, Shin, David, Chhun, Bryant B., McGinnis, Christopher S., Speir, Matthew, Gartner, Zev J., Mehta, Shalin B., Haeussler, Maximilian, Hengen, Keith B., Ransohoff, Richard R., Piao, Xianhua, Nowakowski, Tomasz J.

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Surface ozone-temperature relationships in the eastern US: A monthly climatology for evaluating chemistry-climate models von Rasmussen, D.J., Fiore, A.M., Naik, V., Horowitz, L.W., McGinnis, S.J., Schultz, M.G.

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Avoided climate impacts of urban and rural heat and cold waves over the U.S. using large climate model ensembles for RCP8.5 and RCP4.5 von Oleson, K. W., Anderson, G. B., Jones, B., McGinnis, S. A., Sanderson, B.

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Using Wearable Digital Devices to Screen Children for Mental Health Conditions: Ethical Promises and Challenges von O'Leary, Aisling, Lahey, Timothy, Lovato, Juniper, Loftness, Bryn, Douglas, Antranig, Skelton, Joseph, Cohen, Jenna G, Copeland, William E, McGinnis, Ryan S, McGinnis, Ellen W

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A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis von McGinnis, Ryan S, Mahadevan, Nikhil, Moon, Yaejin, Seagers, Kirsten, Sheth, Nirav, Wright, Jr, John A, DiCristofaro, Steven, Silva, Ikaro, Jortberg, Elise, Ceruolo, Melissa, Pindado, Jesus A, Sosnoff, Jacob, Ghaffari, Roozbeh, Patel, Shyamal

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Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis von Meyer, Brett M., Tulipani, Lindsey J., Gurchiek, Reed D., Allen, Dakota A., Adamowicz, Lukas, Larie, Dale, Solomon, Andrew J., Cheney, Nick, McGinnis, Ryan S.

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Error-state Kalman filter for lower-limb kinematic estimation: Evaluation on a 3-body model von Potter, Michael V., Cain, Stephen M., Ojeda, Lauro V., Gurchiek, Reed D., McGinnis, Ryan S., Perkins, Noel C.

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A Preliminary Investigation of the Effects of Obstacle Negotiation and Turning on Gait Variability in Adults with Multiple Sclerosis von Weed, Lara, Little, Casey, Kasser, Susan L., McGinnis, Ryan S.

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Classification and Detection of Breathing Patterns with Wearable Sensors and Deep Learning von McClure, Kristin, Erdreich, Brett, Bates, Jason H. T., McGinnis, Ryan S., Masquelin, Axel, Wshah, Safwan

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Cell population structure prior to bifurcation predicts efficiency of directed differentiation in human induced pluripotent cells von Bargaje, Rhishikesh, Trachana, Kalliopi, Shelton, Martin N., McGinnis, Christopher S., Zhou, Joseph X., Chadick, Cora, Cook, Savannah, Cavanaugh, Christopher, Huang, Sui, Hood, Leroy

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Climate change projections of the North American Regional Climate Change Assessment Program (NARCCAP) von Mearns, L. O., Sain, S., Leung, L. R., Bukovsky, M. S., McGinnis, S., Biner, S., Caya, D., Arritt, R. W., Gutowski, W., Takle, E., Snyder, M., Jones, R. G., Nunes, A. M. B., Tucker, S., Herzmann, D., McDaniel, L., Sloan, L.

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The Sit-to-Stand Transition as a Biomarker for Impairment: Comparison of Instrumented 30-Second Chair Stand Test and Daily Life Transitions in Multiple Sclerosis von Tulipani, Lindsey J., Meyer, Brett, Fox, Samantha, Solomon, Andrew J., Mcginnis, Ryan S.

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AMULET: a novel read count-based method for effective multiplet detection from single nucleus ATAC-seq data von Thibodeau, Asa, Eroglu, Alper, McGinnis, Christopher S., Lawlor, Nathan, Nehar-Belaid, Djamel, Kursawe, Romy, Marches, Radu, Conrad, Daniel N., Kuchel, George A., Gartner, Zev J., Banchereau, Jacques, Stitzel, Michael L., Cicek, A. Ercument, Ucar, Duygu

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Two risk assessments: Evaluating the use of indicator HF183 Bacteroides versus pathogen measurements for modelling recreational illness risks in an urban watershed von Skiendzielewski, K., Burch, T., Stokdyk, J., McGinnis, S., McLoughlin, S., Firnstahl, A., Spencer, S., Borchardt, M., Murphy, H.M.

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