Acanthamoeba meningoencephalitis complicating pyogenic meningitis von Karande, S C, Lahiri, K R, Sheth, S S, Nadkarni, U S, Jain, M K, Shah, M D

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Acanthameba meningoencephalitis complicating pyogenic meningitis von KARANDE, S. C, LAHIRI, K. R, SHETH, S. S, NADKARNI, U. S, JAIN, M. K, SHAH, M. D

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DISPERSION STRENGTHENING OF METALS BY INTERNAL OXIDATION von NADKARNI A,US, KLAR E,US

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Extent of glaucomatous damage on the first presentation von Bhedasgaonkar, Sayali, Nadkarni, Snehal

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Evaluating prompt engineering on GPT-3.5’s performance in USMLE-style medical calculations and clinical scenarios generated by GPT-4 von Patel, Dhavalkumar, Raut, Ganesh, Zimlichman, Eyal, Cheetirala, Satya Narayan, Nadkarni, Girish N, Glicksberg, Benjamin S., Apakama, Donald U., Bell, Elijah J., Freeman, Robert, Timsina, Prem, Klang, Eyal

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Multiple Electrolytes Solution Versus Saline as Bolus Fluid for Resuscitation in Pediatric Septic Shock: A Multicenter Randomized Clinical Trial von Sankar, Jhuma, Muralidharan, Jayashree, Lalitha, A. V., Rameshkumar, Ramachandran, Pathak, Mona, Das, Rashmi Ranjan, Nadkarni, Vinay M., Ismail, Javed, Subramanian, Mahadevan, Nallasamy, Karthi, Dev, Nishanth, Kumar, U. Vijay, Kumar, Kiran, Sharma, Taniya, Jaravta, Kanika, Thakur, Neha, Aggarwal, Praveen, Jat, Kana Ram, Kabra, S. K., Lodha, Rakesh

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Pyrido[1,2-a]pyrimidin-4-ones as antiplasmodial falcipain-2 inhibitors von Mane, U.R., Li, H., Huang, J., Gupta, R.C., Nadkarni, S.S., Giridhar, R., Naik, P.P., Yadav, M.R.

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Incidence and characteristics of positive pressure ventilation delivered to newborns in a US tertiary academic hospital von Niles, Dana E, Cines, Courtney, Insley, Elena, Foglia, Elizabeth E, Elci, Okan U, Skåre, Christiane, Olasveengen, Theresa, Ades, Anne, Posencheg, Michael, Nadkarni, Vinay M, Kramer-Johansen, Jo

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Corneal ulcer secondary to ectropion in lamellar Ichthyosis: A rare congenital disorder von Bhedasgaonkar, Sayali, Nadkarni, Snehal

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Brief interventions for alcohol use disorders in low- and middle-income countries: barriers and potential solutions von Nadkarni, Abhijit, Bhatia, Urvita, Bedendo, Andre, de Paula, Tassiane Cristine Santos, de Andrade Tostes, Joanna Gonçalves, Segura-Garcia, Lidia, Tiburcio, Marcela, Andréasson, Sven

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V069 - The Belly-Up technique for pericaval nodal dissection in RPLND - Saving caval resections and reconstructions von Prakash, G., Chandankhede, U., Nadkarni, S., Pal, M., Arora, A., Gujela, A., Bakshi, G.

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The Belly-Up technique for pericaval nodal dissection in RPLND - Saving caval resections and reconstructions von Prakash, G., Chandankhede, U., Nadkarni, S., Pal, M., Arora, A., Gujela, A., Bakshi, G.

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Quality of Life Changes Following the Onset of Cerebellar Ataxia: Symptoms and Concerns Self-reported by Ataxia Patients and Informants von Joyce, Michelle R., Nadkarni, Prianca A., Kronemer, Sharif I., Margron, Michael J., Slapik, Mitchell B., Morgan, Owen P., Rosenthal, Liana S., Onyike, Chiadi U., Marvel, Cherie L.

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Extracorporeal membrane oxygenation in patients with severe respiratory failure from COVID-19 von Shaefi, Shahzad, Brenner, Samantha K., Gupta, Shruti, O’Gara, Brian P., Krajewski, Megan L., Charytan, David M., Chaudhry, Sobaata, Mirza, Sara H., Peev, Vasil, Anderson, Mark, Bansal, Anip, Hayek, Salim S., Srivastava, Anand, Mathews, Kusum S., Johns, Tanya S., Leonberg-Yoo, Amanda, Green, Adam, Arunthamakun, Justin, Wille, Keith M., Shaukat, Tanveer, Singh, Harkarandeep, Admon, Andrew J., Semler, Matthew W., Hernán, Miguel A., Mueller, Ariel L., Wang, Wei, Leaf, David E.

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Machine Learning-Based Multi-Omics Analyses Predict Disease Severity and Identify Molecular Mechanisms of COVID-Associated Kidney Injury: SA-OR23 von Anandakrishnan, Nanditha, Yi, Zhengzi, Liu, Tong, Sun, Zeguo, Haydak, Jonathan C., Kretzler, Matthias, Li, Hong, Nadkarni, Girish N., Chan, Lili, Zhang, Weijia, Azeloglu, Evren U.

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Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection von Paranjpe, Ishan, Jayaraman, Pushkala, Su, Chen-Yang, Zhou, Sirui, Chen, Steven, Thompson, Ryan, Del Valle, Diane Marie, Kenigsberg, Ephraim, Zhao, Shan, Jaladanki, Suraj, Chaudhary, Kumardeep, Ascolillo, Steven, Vaid, Akhil, Gonzalez-Kozlova, Edgar, Kauffman, Justin, Kumar, Arvind, Paranjpe, Manish, Hagan, Ross O., Kamat, Samir, Gulamali, Faris F., Xie, Hui, Harris, Joceyln, Patel, Manishkumar, Argueta, Kimberly, Batchelor, Craig, Nie, Kai, Dellepiane, Sergio, Scott, Leisha, Levin, Matthew A., He, John Cijiang, Suarez-Farinas, Mayte, Coca, Steven G., Chan, Lili, Azeloglu, Evren U., Schadt, Eric, Beckmann, Noam, Gnjatic, Sacha, Merad, Miram, Kim-Schulze, Seunghee, Richards, Brent, Glicksberg, Benjamin S., Charney, Alexander W., Nadkarni, Girish N.

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Cerebrospinal fluid proteomics define the natural history of autosomal dominant Alzheimer’s disease von Johnson, Erik C. B., Bian, Shijia, Haque, Rafi U., Carter, E. Kathleen, Watson, Caroline M., Gordon, Brian A., Ping, Lingyan, Duong, Duc M., Epstein, Michael P., McDade, Eric, Barthélemy, Nicolas R., Karch, Celeste M., Xiong, Chengjie, Cruchaga, Carlos, Perrin, Richard J., Wingo, Aliza P., Wingo, Thomas S., Chhatwal, Jasmeer P., Day, Gregory S., Noble, James M., Berman, Sarah B., Martins, Ralph, Graff-Radford, Neill R., Schofield, Peter R., Ikeuchi, Takeshi, Mori, Hiroshi, Levin, Johannes, Farlow, Martin, Lah, James J., Haass, Christian, Jucker, Mathias, Morris, John C., Benzinger, Tammie L. S., Roberts, Blaine R., Bateman, Randall J., Fagan, Anne M., Seyfried, Nicholas T., Levey, Allan I.

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In-hospital cardiac arrest in critically ill patients with covid-19: multicenter cohort study von Hayek, Salim S, Brenner, Samantha K, Azam, Tariq U, Shadid, Husam R, Anderson, Elizabeth, Berlin, Hanna, Pan, Michael, Meloche, Chelsea, Feroz, Rafey, O'Hayer, Patrick, Kaakati, Rayan, Bitar, Abbas, Padalia, Kishan, Perry, Daniel, Blakely, Pennelope, Gupta, Shruti, Shaefi, Shahzad, Srivastava, Anand, Charytan, David M, Bansal, Anip, Mallappallil, Mary, Melamed, Michal L, Shehata, Alexandre M, Sunderram, Jag, Mathews, Kusum S, Sutherland, Anne K, Nallamothu, Brahmajee K, Leaf, David E

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Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study von Gleason, Alec, Richter, Florian, Beller, Nathalia, Arivazhagan, Naveen, Feng, Rui, Holmes, Emma, Glicksberg, Benjamin S., Morton, Sarah U., La Vega-Talbott, Maite, Fields, Madeline, Guttmann, Katherine, Nadkarni, Girish N., Richter, Felix

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Deep Learning Uncovers Clinical Subphenotypes of Diabetic Kidney Disease Driven by Genetic Variation in Rac1 Pathway: FR-OR11 von Paranjpe, Ishan, Wang, Xuan, Anandakrishnan, Nanditha, Zhou, Weibin, Azeloglu, Evren U., He, John C., Nadkarni, Girish N.

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