A5006057133- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- Health Literacy and Information Accessibility
- Machine Learning in Bioinformatics
- Data-Driven Disease Surveillance
- Protein Structure and Dynamics
- Pharmacogenetics and Drug Metabolism
- Retinal Imaging and Analysis
- Microbial Metabolic Engineering and Bioproduction
- Big Data Technologies and Applications
- Biomedical Text Mining and Ontologies
- Ophthalmology and Visual Impairment Studies
- Fish biology, ecology, and behavior
- Innovative Teaching Methods
- Explainable Artificial Intelligence (XAI)
- Mobile Health and mHealth Applications
- Web visibility and informetrics
- Machine Learning in Materials Science
- Visual and Cognitive Learning Processes
- Image Retrieval and Classification Techniques
- Data Quality and Management
- Genetic diversity and population structure
- Robotic Path Planning Algorithms
- Web Data Mining and Analysis
- Visual perception and processing mechanisms
San Francisco State University
2006-2024
Singapore Polytechnic
2007
Significance Although the United States needs to expand its STEM (science, technology, engineering, mathematics) workforce, postsecondary institutions struggle retain and effectively teach students in disciplines. Using teaching techniques beyond lecture, such as pair discussions reflective writing, has been shown boost student learning, but it is unknown what proportion of faculty use these active-learning pedagogies. Here we describe DART: Decibel Analysis for Research Teaching, a...
Cerebral visual impairment (CVI), the leading cause of bilateral in children, is often characterized by acuity (VA) loss and higher function deficits (HVFDs). However, relationship between VA HVFDs remains unknown. A previous study using Higher Visual Function Question Inventory (HVFQI) demonstrated that normal did not preclude HVFDs. In this prospective controlled children with CVI, we examine degrees to refine our understanding relationship. We introduce two new indices—HVFD spectrum...
Background With the emergence of a completed genome sequence freshwater crustacean Daphnia pulex, construction genomic-scale databases for additional sequences are important comparative genomics and annotation. Porcelain crabs, genus Petrolisthes, have been powerful models environmental evolutionary physiology with respect to thermal adaptation understanding responses marine organisms climate change. Here, we present large-scale EST sequencing cDNA microarray database project porcelain crab...
We address the problem of assigning biological function to solved protein structures. Computational tools play a critical role in identifying potential active sites and informing screening decisions for further lab analysis. A parameter practical application computational methods is precision, or positive predictive value. Precision measures level confidence user should have particular computed functional assignment. Low precision annotations lead futile laboratory investigations waste...
Objective: To document the information on medication abortion university Student Health Center (SHC) websites. Study Sample: Four-year bachelors granting public universities' Methods: We conduct thematic content analysis for abortion-related 547 SHC websites in United States as of August 2022 using computer-assisted software. validate software with human annotation. Results: Medication is mentioned 23 (4%) websites, and 13 (57%) these it only to exclude from definitions emergency...
Limited efficacy and intolerable safety limit therapeutic development identification of potential liabilities earlier in could significantly improve this process. Computational approaches which aggregate data from multiple sources consider the drug's pathways effects add to these earlier. Such computational methods must be accessible a variety users beyond scientists, especially regulators industry order impact We have previously developed published PathFX, an algorithm for identifying drug...
Understanding the relationships between genes, drugs, and disease states is at core of pharmacogenomics. Two leading approaches for identifying these in medical literature are: human expert led manual curation efforts, modern data mining based automated approaches. The former generates small amounts high-quality data, latter offers large volumes mixed quality data. algorithmically extracted are often accompanied by supporting evidence, such as, confidence scores, source articles, surrounding...
The internet has become a major source of health information, especially for adolescents and young adults. Unfortunately, inaccurate, incomplete, or outdated information is widespread on the web. Often adults turn to authoritative websites such as student center (SHC) website university they attend obtain reliable information. Although most on-campus SHC clinics comply with American College Health Association standards, their are not subject any standards code conduct. In absence quality...
Machine learning-based prediction of protein functions plays a key role in bioinformatics and pharmaceutical research, facilitating swift discovery new drugs high-throughput settings. This paper presents an adaptation Random Forest to the structure-based function prediction. Our system represents protein's 3D physicochemical structural information microenvironment descriptors whose spatial resolution is much finer than other sequence-based descriptors. We prepare our datasets for seven...
Abstract Objectives We sought to cluster biological phenotypes using semantic similarity and create an easy-to-install, stable, reproducible tool. Materials Methods generated Phenotype Clustering (PhenClust)—a novel application of for interpreting phenotype associations—using the Unified Medical Language System (UMLS) metathesaurus, demonstrated tool’s application, developed Docker containers with stable installations two UMLS versions. Results PhenClust identified disease clusters drug...
Universities and colleges offer medical health services through Student Health Centers (SHCs), SHC websites are a primary healthcare information source for university college students. While the educational institutions trusted as reputed sources by students, there is no guideline or standard quality control of online on websites. Our tool, Quantitative Measures Online Information (QMOHI), was designed to address this issue provide assessments In work, we added new features also improved...
Cerebral Visual Impairment (CVI), vision loss due to brain injury in early childhood, is the leading cause --- approximately 40% of bilateral visual impairment children from industrialized countries and most rapidly growing among developing countries. Typical causes CVI include abnormal development or damage, often consequential birth-related complications such as hypoxic ischemic encephalopathy, meningitis, hydrocephalus, head injury. The current gold standard for clinical diagnosis require...
Interactome models are key to understanding metabolic functions and mechanisms of medical interventions. There two problems that need be solved deliver use high-quality interactome models: (1) network curation at scale; (2) bringing large-scale interactomes human-scale understanding. To address these we present GeneDive, a computational systems biology browser makes large gene, disease, drug interactions networks easily accessible usable. GeneDive can accessed at: https://www.genedive.net/
<sec> <title>BACKGROUND</title> The internet has become a major source of health information, especially for adolescents and young adults. Unfortunately, inaccurate, incomplete, or outdated information is widespread on the web. Often adults turn to authoritative websites such as student center (SHC) website university they attend obtain reliable information. Although most on-campus SHC clinics comply with American College Health Association standards, their are not subject any standards code...