A5087307742- Surgical Simulation and Training
- Biomedical Text Mining and Ontologies
- Traumatic Brain Injury and Neurovascular Disturbances
- RNA and protein synthesis mechanisms
- Digital Imaging in Medicine
- Bioinformatics and Genomic Networks
- Artificial Intelligence in Healthcare and Education
- Medical Imaging and Analysis
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- Spine and Intervertebral Disc Pathology
- DNA and Nucleic Acid Chemistry
- Plant and Fungal Interactions Research
- Insect-Plant Interactions and Control
- Intracerebral and Subarachnoid Hemorrhage Research
- Venous Thromboembolism Diagnosis and Management
- Anatomy and Medical Technology
- Genetics, Bioinformatics, and Biomedical Research
- Acute Ischemic Stroke Management
- Gene expression and cancer classification
- Genomics and Rare Diseases
- Genomics and Chromatin Dynamics
- Protein Structure and Dynamics
- Plant Virus Research Studies
University of Southern California
2019-2024
California Institute of Technology
2023-2024
Keck Hospital of USC
2022
University of California, Riverside
2004
Abstract The Alliance of Genome Resources (Alliance) is an extensible coalition knowledgebases focused on the genetics and genomics intensively studied model organisms. organized as individual knowledge centers with strong connections to their research communities a centralized software infrastructure, discussed here. Model organisms currently represented in are budding yeast, Caenorhabditis elegans, Drosophila, zebrafish, frog, laboratory mouse, rat, Gene Ontology Consortium. project rapid...
DNAproDB (https://dnaprodb.usc.edu) is a web-based database and structural analysis tool that offers combination of data visualization, processing search functionality improves the speed ease with which researchers can analyze, access visualize DNA-protein complexes. In this paper, we report significant improvements made to since its initial release. now supports any DNA secondary structure from typical B-form single-stranded G-quadruplexes. We have updated our files support complex...
TFBSshape (https://tfbsshape.usc.edu) is a motif database for analyzing structural profiles of transcription factor binding sites (TFBSs). The main rationale this to be able derive mechanistic insights in protein-DNA readout modes from sequencing data without available structures. We extended the quantity and dimensionality TFBSshape, mostly vitro vivo unmethylated methylated DNA. This new release improves its functionality launches responsive user-friendly web interface easy access data....
Deep neural networks (DNNs) have not been proven to detect blood loss (BL) or predict surgeon performance from video.To train a DNN using video cadaveric training exercises of surgeons controlling simulated internal carotid hemorrhage clinically relevant outcomes.Video was input as series images; deep learning were developed, which predicted BL and task success images alone (automated model) plus human-labeled instrument annotations (semiautomated model). These models compared against 2...
<h3>Importance</h3> Surgical data scientists lack video sets that depict adverse events, which may affect model generalizability and introduce bias. Hemorrhage be particularly challenging for computer vision–based models because blood obscures the scene. <h3>Objective</h3> To assess utility of Simulated Outcomes Following Carotid Artery Laceration (SOCAL)—a publicly available surgical set hemorrhage complication management with instrument annotations task outcomes—to provide benchmarks...
Enrichment analysis is frequently used in combination with differential expression data to investigate potential commonalities amongst lists of genes and generate hypotheses for further experiments. However, current enrichment approaches on pathways ignore the functional relationships between a pathway, particularly OR logic that occurs when set proteins can each individually perform same step pathway. As result, these miss large or multiple sets because an inflation pathway size (when...
OBJECTIVE While the utilization of machine learning (ML) for data analysis typically requires significant technical expertise, novel platforms can deploy ML methods without requiring user to have any coding experience (termed AutoML). The potential these be applied neurosurgical video and surgical science is unknown. METHODS AutoML, a code-free (CFML) system, was used identify instruments contained within each frame endoscopic, endonasal intraoperative obtained from previously validated...
Intraoperative tool movement data have been demonstrated to be clinically useful in quantifying surgical performance. However, collecting this information from intraoperative video requires laborious hand annotation. The ability automatically annotate tools would advance science by eliminating a time-intensive step research.To identify whether machine learning (ML) can instruments contained within neurosurgical video.A ML model which identifies frame was developed and trained on multiple...
Abstract The Alliance of Genome Resources (Alliance) is an extensible coalition knowledgebases focused on the genetics and genomics intensively-studied model organisms. organized as individual knowledge centers with strong connections to their research communities a centralized software infrastructure, discussed here. Model organisms currently represented in are budding yeast, C. elegans , Drosophila zebrafish, frog, laboratory mouse, rat, Gene Ontology Consortium. project rapid development...