A5042224273- Williams Syndrome Research
- Congenital heart defects research
- Autism Spectrum Disorder Research
- Gene Regulatory Network Analysis
- Genetics and Neurodevelopmental Disorders
- Congenital Heart Disease Studies
- Coronary Artery Anomalies
- Bioinformatics and Genomic Networks
- Traumatic Brain Injury and Neurovascular Disturbances
- Intracranial Aneurysms: Treatment and Complications
- Fuzzy Logic and Control Systems
- Glioma Diagnosis and Treatment
- Family and Disability Support Research
- Rough Sets and Fuzzy Logic
- Nanoparticle-Based Drug Delivery
- Evolutionary Algorithms and Applications
- Attention Deficit Hyperactivity Disorder
- Stock Market Forecasting Methods
- CRISPR and Genetic Engineering
- Gene expression and cancer classification
- Vascular Malformations Diagnosis and Treatment
- Teratomas and Epidermoid Cysts
- Complex Systems and Time Series Analysis
- Topic Modeling
- Cerebrospinal fluid and hydrocephalus
Cedars-Sinai Medical Center
2024-2025
Simons Foundation
2017-2025
Yale University
2021-2025
Georgia Institute of Technology
2025
Clinical Research Associates
2023-2024
Microsoft Research Asia (China)
2023
University Memory and Aging Center
2021
University of California, San Francisco
2021
Clinical Research Associates
2021
Duke University
2002-2018
Network inference algorithms are powerful computational tools for identifying putative causal interactions among variables from observational data. Bayesian network hold particular promise in that they can capture linear, non-linear, combinatorial, stochastic and other types of relationships across multiple levels biological organization. However, challenges remain when applying these to limited quantities experimental data collected systems. Here, we use a simulation approach make advances...
Administration of a selective GABA B agonist to individuals with fragile X syndrome improves their deficits in social avoidance, core symptom the disease.
A microscopic deletion of chromosome 22q11.2 has been identified in most patients with the DiGeorge, velocardiofacial syndrome, conotruncal anomaly face and some isolated cardiac anomalies. This study presents neurodevelopmental outcome, including cognitive development, language speech, neuromuscular behavioral characteristics 40 preschool children (ages 13 to 63 months) who have diagnosed deletion. The impact disease, surgery, palatal anomalies on this population was also studied. In years,...
Article AbstractObjective: To evaluate the efficacy and safety of ziprasidone adjunctive to a mood stabilizer for maintenance treatment bipolar mania. Method: Subjects with DSM-IV I disorder Mania Rating Scale score†‰≥†‰14 were enrolled. achieving ≥†‰8 consecutive weeks stability open-label (80-160 mg/d) lithium or valproate (period 1) randomly assigned in 6-month, double-blind period 2) plus placebo stabilizer. The primary key secondary end points time intervention episode discontinuation...
Abstract Motivation Answering and solving complex problems using a large language model (LLM) given certain domain such as biomedicine is challenging task that requires both factual consistency logic, LLMs often suffer from some major limitations, hallucinating false or irrelevant information, being influenced by noisy data. These issues can compromise the trustworthiness, accuracy, compliance of LLM-generated text insights. Results Knowledge Retrieval Augmented Generation ENgine (KRAGEN)...
In Brief Study Design. Case report. Objective. To report a case of an acute intracranial subdural hematoma that formed due to cerebrospinal fluid (CSF) leak following lumbar surgery. Summary Background Data. Intracranial hypotension may occur when CSF is removed from the subarachnoid space. formation has been observed significant drainage during puncture or ventricular shunt placement. However, described only twice in literature spine Methods. Retrospective review patient's medical record...
LLMs like GPT-4, despite their advancements, often produce hallucinations and struggle with integrating external knowledge effectively. While Retrieval-Augmented Generation (RAG) attempts to address this by incorporating information, it faces significant challenges such as context length limitations imprecise vector similarity search. ESCARGOT aims overcome these issues combining a dynamic Graph of Thoughts biomedical graphs, improving output reliability reducing hallucinations....