A5089649839- Genomics and Phylogenetic Studies
- Sepsis Diagnosis and Treatment
- Cancer Genomics and Diagnostics
- Genomics and Rare Diseases
- Biomedical Text Mining and Ontologies
- Scientific Computing and Data Management
- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
- Chromosomal and Genetic Variations
- Cardiac electrophysiology and arrhythmias
- RNA and protein synthesis mechanisms
- Advanced Proteomics Techniques and Applications
- Hydrology and Drought Analysis
- Molecular Biology Techniques and Applications
- Statistical Methods in Clinical Trials
- Time Series Analysis and Forecasting
- Gene expression and cancer classification
- Genomic variations and chromosomal abnormalities
- Machine Learning in Healthcare
- Mass Spectrometry Techniques and Applications
- Cardiovascular Function and Risk Factors
Johns Hopkins Medicine
2021
Johns Hopkins University
2006-2021
National Institutes of Health
2003-2004
The National Institutes of Health's Mammalian Gene Collection (MGC) project was designed to generate and sequence a publicly accessible cDNA resource containing complete open reading frame (ORF) for every human mouse gene. initially used random strategy select clones from large number libraries diverse tissues. Candidate were chosen based on 5′-EST sequences, then fully sequenced high accuracy analyzed by algorithms developed this project. Currently, more than 11,000 10,000 genes are...
Abstract Septic shock is a life-threatening condition in which timely treatment substantially reduces mortality. Reliable identification of patients with sepsis who are at elevated risk developing septic therefore has the potential to save lives by opening an early window intervention. We hypothesize existence novel clinical state referred as “pre-shock” state, and that enter this highly likely develop some future time. apply three different machine learning techniques electronic health...
The electrocardiogram (ECG) is the most commonly collected data in cardiovascular research because of ease with which it can be measured and fact that changes ECG waveforms reflect underlying aspects heart disease. Despite its ubiquity, there are no open, noncommercial platforms for interactive management, sharing, analysis these data. WaveformECG addresses this unmet need. Accessed through a browser, extracts ECGs from vendor files, storing them as time series other results annotations an...
Protein identification using MS is an important technique in proteomics as well a major generator of data. We have designed the protein data object model (PDOM) and developed parser based on this to facilitate analysis storage these The works with HTML or XML files saved exported from MASCOT MS/MS ions search peptide summary report PMF report. program creates PDOM objects, eliminates redundancy input file, has capability output any relational database. This facilitates additional results...
Abstract Structured representation of clinical genetic results is necessary for advancing precision medicine. The Electronic Medical Records and Genomics (eMERGE) Network’s Phase III program initially used a commercially developed XML message format standardized structured electronic health record (EHR) integration. In desire to move towards standard representation, the network created new based upon Health Level Seven Fast Healthcare Interoperability Resources (HL7 FHIR), represent genomics...
Sepsis is a systemic deleterious host response to infection. It major healthcare problem that affects millions of patients every year in the intensive care units (ICUs) worldwide. Despite fact ICU are heavily instrumented with physiological sensors, early sepsis detection remains challenging, perhaps because clinicians identify by using static scores derived from bed-side measurements individually, i.e., without systematically accounting for potential interactions between these signals and...