Search Results - "Naik, Nidhi"

Deep learning and the electrocardiogram: review of the current state-of-the-art by Somani, Sulaiman, Russak, Adam J, Richter, Felix, Zhao, Shan, Vaid, Akhil, Chaudhry, Fayzan, De Freitas, Jessica K, Naik, Nidhi, Miotto, Riccardo, Nadkarni, Girish N, Narula, Jagat, Argulian, Edgar, Glicksberg, Benjamin S

“…Abstract In the recent decade, deep learning, a subset of artificial intelligence and machine learning, has been used to identify patterns in big healthcare…”
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Characterization of Patients Who Return to Hospital Following Discharge from Hospitalization for COVID-19 by Somani, Sulaiman S., Richter, Felix, Fuster, Valentin, De Freitas, Jessica K., Naik, Nidhi, Sigel, Keith, Bottinger, Erwin P, Levin, Matthew A., Fayad, Zahi, Just, Allan C., Charney, Alexander W., Zhao, Shan, Glicksberg, Benjamin S., Lala, Anuradha, Nadkarni, Girish N.

“…Background Data on patients with coronavirus disease 2019 (COVID-19) who return to hospital after discharge are scarce. Characterization of these patients may…”
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Role of Natural plant extracts for potential Antileishmanial targets-In-depth review of the molecular mechanism by Naik, Nidhi, Kaushal, Radhey Shyam, Upadhyay, Tarun Kumar Upadhyay, Kahrizi, Danial, Al-Najjar, Mohammad A A, Khan, Mohammad Suhail, Siddiqui, Samra

“…A group of protozoan parasites known as Leishmania species can cause a variety of chronic illnesses, ranging from self-healing lesions to fatal outcomes…”
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Real World Evidence and Clinical Utility of KidneyIntelX on Patients With Early-Stage Diabetic Kidney Disease: Interim Results on Decision Impact and Outcomes by Tokita, Joji, Vega, Aida, Sinfield, Catherine, Naik, Nidhi, Rathi, Shivani, Martin, Sharlene, Wang, Stephanie, Amoruso, Leonard, Zabetian, Azadeh, Coca, Steven G., Nadkarni, Girish N., Fleming, Fergus, Donovan, Michael J., Fields, Robert

“…Introduction and Objective: The lack of precision to identify patients with early-stage diabetic kidney disease (DKD) at near-term risk for progressive decline…”
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A Real-World Precision Medicine Program Including the KidneyIntelX Test Effectively Changes Management Decisions and Outcomes for Patients With Early-Stage Diabetic Kidney Disease by Tokita, Joji, Lam, David, Vega, Aida, Wang, Stephanie, Amoruso, Leonard, Muller, Tamara, Naik, Nidhi, Rathi, Shivani, Martin, Sharlene, Zabetian, Azadeh, Liu, Catherine, Sinfield, Catherine, McNicholas, Tony, Fleming, Fergus, Coca, Steven G, Nadkarni, Girish N, Tun, Roger, Kattan, Mike, Donovan, Michael J, Rahim, Arshad K

“…The KidneyIntelX is a multiplex, bioprognostic, immunoassay consisting of 3 plasma biomarkers and clinical variables that uses machine learning to predict a…”
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Engineering PEGylated Polyester Nanoparticles to Reduce Complement-Mediated Infusion Reaction by Maisha, Nuzhat, Naik, Nidhi, Okesola, Mawuyon, Coombs, Tobias, Zilberberg, Rose, Pandala, Narendra, Lavik, Erin

“…Translation of intravenously administered nanomaterials to the clinic is limited due to adverse infusion reactions. While these reactions are infrequent, with…”
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Understanding Patient Receptivity Towards Receipt of Prognostic Risk Score for Diabetic Kidney Disease: PO0766 by Muller, Tamara S., Naik, Nidhi, Rathi, Shivani, Martin, Sharlene, Zabetian, Azadeh

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Biomarker-Enriched Risk Scores and Prognostication of Kidney Outcomes Among African Americans With High-Risk APOL1 Variants: SA-PO953 by Chauhan, Kinsuk, Vasquez-Rios, George, Naik, Nidhi, Pattharanitima, Pattharawin, Chan, Lili, Nadkarni, Girish N., Coca, Steven G.

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The emerging role of growth differentiation factor 15 as a potential disease biomarker in juvenile dermatomyositis by Duvvuri, Bhargavi, Gonzalez-Chapa, Jorge A, Pachman, Lauren M, Morgan, Gabrielle A, Naik, Nidhi, Shenoi, Susan, Lood, Christian

“…Abstract Objective We aimed to investigate the potential of growth differentiation factor 15 (GDF-15) as a novel biomarker for disease activity in JDM. Methods…”
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Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation by Vaid, Akhil, Somani, Sulaiman, Russak, Adam J, De Freitas, Jessica K, Chaudhry, Fayzan F, Paranjpe, Ishan, Johnson, Kipp W, Lee, Samuel J, Miotto, Riccardo, Richter, Felix, Zhao, Shan, Beckmann, Noam D, Naik, Nidhi, Kia, Arash, Timsina, Prem, Lala, Anuradha, Paranjpe, Manish, Golden, Eddye, Danieletto, Matteo, Singh, Manbir, Meyer, Dara, O'Reilly, Paul F, Huckins, Laura, Kovatch, Patricia, Finkelstein, Joseph, Freeman, Robert M, Argulian, Edgar, Kasarskis, Andrew, Percha, Bethany, Aberg, Judith A, Bagiella, Emilia, Horowitz, Carol R, Murphy, Barbara, Nestler, Eric J, Schadt, Eric E, Cho, Judy H, Cordon-Cardo, Carlos, Fuster, Valentin, Charney, Dennis S, Reich, David L, Bottinger, Erwin P, Levin, Matthew A, Narula, Jagat, Fayad, Zahi A, Just, Allan C, Charney, Alexander W, Nadkarni, Girish N, Glicksberg, Benjamin S

“…COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated…”
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Leishmania species: A narrative review on surface proteins with structural aspects involved in host–pathogen interaction by Kaushal, Radhey Shyam, Naik, Nidhi, Prajapati, Maitri, Rane, Shruti, Raulji, Himali, Afu, NGO Festus, Upadhyay, Tarun Kumar, Saeed, Mohd

“…In tropical and subtropical regions of the world, leishmaniasis is endemic and causes a range of clinical symptoms in people, from severe tegumentary forms…”
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Oral Mucosal Lesions' propensity as an Outcome Eventuated by Exhaled Carbon Monoxide (CO) Levels and Nicotine Dependency by Naik, Nidhi, Gaunkar, Ridhima, Kamat, Amita Kenkre, Kamath, Vinayak, Gadiyar, Akshatha, Mungi, Prachi

“…This study aims to assess the correlation of exhaled CO and nicotine dependence with the occurrence of oral mucosal lesions while also taking into…”
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Association of Plasma Biomarkers with Kidney Outcomes in African Americans with High-Risk Apolipoprotein L1 Variants by Naik, Nidhi

“…Background: End-stage kidney disease (ESKD) is more prevalent in African Americans with G1 and G2 high-risk variants of the Apolipoprotein 1 (APOL1) genotype…”
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Contrastive learning improves critical event prediction in COVID-19 patients by Wanyan, Tingyi, Honarvar, Hossein, Jaladanki, Suraj K., Zang, Chengxi, Naik, Nidhi, Somani, Sulaiman, De Freitas, Jessica K., Paranjpe, Ishan, Vaid, Akhil, Zhang, Jing, Miotto, Riccardo, Wang, Zhangyang, Nadkarni, Girish N., Zitnik, Marinka, Azad, Ariful, Wang, Fei, Ding, Ying, Glicksberg, Benjamin S.

“…Deep learning (DL) models typically require large-scale, balanced training data to be robust, generalizable, and effective in the context of healthcare. This…”
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National Trends in Emergency Room Visits of Dialysis Patients for Adverse Drug Reactions by Chan, Lili, Saha, Aparna, Poojary, Priti, Chauhan, Kinsuk, Naik, Nidhi, Coca, Steven, Garimella, Pranav S, Nadkarni, Girish N

“…Various medications are cleared by the kidneys, therefore patients with impaired renal function, especially dialysis patients are at risk for adverse drug…”
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Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients by Wanyan, Tingyi, Honarvar, Hossein, Jaladanki, Suraj K, Zang, Chengxi, Naik, Nidhi, Somani, Sulaiman, De Freitas, Jessica K, Paranjpe, Ishan, Vaid, Akhil, Miotto, Riccardo, Nadkarni, Girish N, Zitnik, Marinka, ArifulAzad, Wang, Fei, Ding, Ying, Glicksberg, Benjamin S

“…Machine Learning (ML) models typically require large-scale, balanced training data to be robust, generalizable, and effective in the context of healthcare…”
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