Suraj K. Jaladanki
A5024226831- COVID-19 Clinical Research Studies
- Acute Kidney Injury Research
- COVID-19 diagnosis using AI
- COVID-19 and healthcare impacts
- Machine Learning in Healthcare
- Long-Term Effects of COVID-19
- Sepsis Diagnosis and Treatment
- Alzheimer's disease research and treatments
- Bioinformatics and Genomic Networks
- Bladder and Urothelial Cancer Treatments
- Chronic Kidney Disease and Diabetes
- SARS-CoV-2 and COVID-19 Research
- Privacy-Preserving Technologies in Data
- Epigenetics and DNA Methylation
- Artificial Intelligence in Healthcare
- Acute Ischemic Stroke Management
- Cancer-related molecular mechanisms research
- Venous Thromboembolism Diagnosis and Management
- Diabetes and associated disorders
- Acute Myocardial Infarction Research
- Genetic Associations and Epidemiology
- Kawasaki Disease and Coronary Complications
- Transplantation: Methods and Outcomes
- Cardiovascular Function and Risk Factors
- COVID-19 and Mental Health
Icahn School of Medicine at Mount Sinai
2020-2023
University of Maryland, Baltimore
2016-2023
Harvard University
2023
McGill University
2023
Mount Sinai Hospital
2023
Jewish General Hospital
2023
Stanford University
2023
ORCID
2021
The Mount
2021
Hasso Plattner Institute
2021
Machine learning models require large datasets that may be siloed across different health care institutions. studies focus on COVID-19 have been limited to single-hospital data, which limits model generalizability.
The disruption of the intestinal epithelial barrier function occurs commonly in various pathologies, but exact mechanisms responsible are unclear. H19 long noncoding RNA (lncRNA) regulates expression different genes and has been implicated human genetic disorders cancer. Here, we report that plays an important role controlling by serving as a precursor for microRNA 675 (miR-675). overexpression increased cellular abundance miR-675, which turn destabilized repressed translation mRNAs encoding...
Sepsis-associated AKI is a heterogeneous clinical entity. We aimed to agnostically identify sepsis-associated subphenotypes using deep learning on routinely collected data in electronic health records.We used the Medical Information Mart for Intensive Care III database, which consists of record from intensive care units tertiary hospital United States. included patients ≥18 years with sepsis who developed within 48 hours unit admission. then utilize all available vital signs, laboratory...
Abstract Post-acute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are debilitating, clinically heterogeneous and unknown molecular etiology. A transcriptome-wide investigation was performed in 165 acutely infected hospitalized individuals who were followed into the post-acute period. Distinct gene expression signatures already present whole blood during infection, with innate adaptive immune cells implicated different symptoms. Two clusters exhibited...
Background & AimsThe protective intestinal mucosal barrier consists of multiple elements including mucus and epithelial layers immune defense; nonetheless, dysfunction is common in various disorders. The imprinted developmentally regulated long noncoding RNA H19 involved many cell processes diseases. Here, we investigated the role regulating Paneth goblet cells autophagy, its impact on induced by septic stress.MethodsStudies were conducted H19-deficient (H19-/-) mice, tissues from patients...
Multisystem inflammatory syndrome in children (MIS-C) presents with fever, inflammation and pathology of multiple organs individuals under 21 years age the weeks following severe acute respiratory coronavirus 2 (SARS-CoV-2) infection. Although an autoimmune pathogenesis has been proposed, genes, pathways cell types causal to this new disease remain unknown. Here we perform RNA sequencing blood from patients MIS-C controls find disease-associated genes clustered a co-expression module annotated CD56
Acute kidney injury (AKI) is a known complication of COVID-19 and associated with an increased risk in-hospital mortality. Unbiased proteomics using biological specimens can lead to improved stratification discover pathophysiological mechanisms.
The COVID-19 pandemic is a global public health crisis, with over 33 million cases and 999 000 deaths worldwide. Data are needed regarding the clinical course of hospitalised patients, particularly in USA. We aimed to compare characteristic patients who had in-hospital mortality those were discharged alive.Demographic, outcomes data for admitted five Mount Sinai Health System hospitals confirmed between 27 February 2 April 2020 identified through institutional electronic records. performed...
ABSTRACT Machine learning (ML) models require large datasets which may be siloed across different healthcare institutions. Using federated learning, a ML technique that avoids locally aggregating raw clinical data multiple institutions, we predict mortality within seven days in hospitalized COVID-19 patients. Patient was collected from Electronic Health Records (EHRs) five hospitals the Mount Sinai System (MSHS). Logistic Regression with L1 regularization (LASSO) and Multilayer Perceptron...
Deep learning (DL) models typically require large-scale, balanced training data to be robust, generalizable, and effective in the context of healthcare. This has been a major issue for developing DL coronavirus disease 2019 (COVID-19) pandemic, where are highly class imbalanced. Conventional approaches use cross-entropy loss (CEL), which often suffers from poor margin classification. We show that contrastive (CL) improves performance CEL, especially imbalanced electronic health records (EHR)...
Limited mechanical ventilators (MV) during the Coronavirus disease (COVID-19) pandemic have led to use of non-invasive ventilation (NIV) in hypoxemic patients, which has not been studied well. We aimed assess association NIV versus MV with mortality and morbidity respiratory intervention among patients admitted COVID-19.We performed a retrospective multi-center cohort study across 5 hospitals March-April 2020. Outcomes included mortality, severe COVID-19-related symptoms, time discharge,...
<b><i>Background/Aims:</i></b> Acute kidney injury (AKI) in critically ill patients is common, and continuous renal replacement therapy (CRRT) a preferred mode of (RRT) hemodynamically unstable patients. Prediction clinical outcomes on CRRT challenging. We utilized several approaches to predict RRT-free survival (RRTFS) with AKI requiring CRRT. <b><i>Methods:</i></b> used the Medical Information Mart for Intensive Care (MIMIC-III) database...
Background and objectives AKI treated with dialysis initiation is a common complication of coronavirus disease 2019 (COVID-19) among hospitalized patients. However, supplies personnel are often limited. Design, setting, participants, & measurements Using data from adult patients COVID-19 five hospitals the Mount Sinai Health System who were admitted between March 10 December 26, 2020, we developed validated several models (logistic regression, Least Absolute Shrinkage Selection Operator...
Abstract Aims Clinical scoring systems for pulmonary embolism (PE) screening have low specificity and contribute to computed tomography angiogram (CTPA) overuse. We assessed whether deep learning models using an existing routinely collected data modality, electrocardiogram (ECG) waveforms, can increase PE detection. Methods results create a retrospective cohort of 21 183 patients at moderate- high suspicion associate 23 793 CTPAs (10.0% PE-positive) with 320 746 ECGs encounter-level clinical...
Abstract Multisystem inflammatory syndrome in children (MIS-C) presents with fever, inflammation and multiple organ involvement individuals under 21 years following severe acute respiratory coronavirus 2 (SARS-CoV-2) infection. To identify genes, pathways cell types driving MIS-C, we sequenced the blood transcriptomes of MIS-C cases, pediatric cases disease 2019, healthy controls. We define a transcriptional signature partially shared response to SARS-CoV-2 infection Kawasaki disease,...
Acute kidney injury (AKI) and need for acute replacement therapy (KRT) are frequent complications of coronavirus disease 2019 (COVID-19) due to SARS-CoV-2 infection. During the first surge pandemic in United States, AKI incidence was up 40% hospitalized patients.1Zahid U. Ramachandran P. Spitalewitz S. et al.Acute COVID-19 patients: an inner city hospital experience policy implications.Am J Nephrol. 2020; 51: 786-796Crossref PubMed Scopus (70) Google Scholar,2Chan L. Chaudhary K. Saha A....
Identifying genomic alterations of cancer proteins has guided the development targeted therapies, but proteomic analyses are required to validate and reveal new treatment opportunities. Herein, we develop a algorithm, OPPTI, discover overexpressed kinase across 10 types using global mass spectrometry proteomics data 1,071 cases. OPPTI outperforms existing methods by leveraging multiple co-expressed markers identify targets in subset tumors. OPPTI-identified overexpression ERBB2 EGFR...
Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the associated Coronavirus Disease 2019 (COVID-19) is a public health emergency. Acute kidney injury (AKI) common complication in hospitalized patients with COVID-19 although mechanisms underlying AKI are yet unclear. There may be direct effect of SARS-CoV-2 virus on kidney; however, there currently no data linking viral load (VL) to AKI. We explored association VL at admission large diverse cohort COVID-19. Methods...
Effective treatments targeting disease etiology are urgently needed for Alzheimer's (AD). Although candidate AD genes have been identified and altering their levels may serve as therapeutic strategies, the consequence of such alterations remain largely unknown. Herein, we analyzed CRISPR knockout/RNAi knockdown screen data over 700 cell lines evaluated cellular dependencies 104 AD-associated previously by genome-wide association studies (GWAS) gene expression network studies. Multiple showed...
ABSTRACT Federated learning is a technique for training predictive models without sharing patient-level data, thus maintaining data security while allowing inter-institutional collaboration. We used federated to predict acute kidney injury within three and seven days of admission, using demographics, comorbidities, vital signs, laboratory values, in 4029 adults hospitalized with COVID-19 at five sociodemographically diverse New York City hospitals, between March-October 2020. Prediction...