A5031656607- Biomedical Text Mining and Ontologies
- MicroRNA in disease regulation
- DNA Repair Mechanisms
- Genetic factors in colorectal cancer
- Epigenetics and DNA Methylation
- Cancer Genomics and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- Machine Learning in Healthcare
- Lung Cancer Treatments and Mutations
- Cancer-related molecular mechanisms research
- Statistical Methods in Clinical Trials
- RNA modifications and cancer
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Immunotherapy and Biomarkers
- Circular RNAs in diseases
- Ethics in Clinical Research
- Cancer, Lipids, and Metabolism
- Lung Cancer Diagnosis and Treatment
- Flavonoids in Medical Research
- Liver Disease Diagnosis and Treatment
- Health Systems, Economic Evaluations, Quality of Life
- Artificial Intelligence in Healthcare
- Pancreatic and Hepatic Oncology Research
- Microtubule and mitosis dynamics
- Cancer, Hypoxia, and Metabolism
Sema4 (United States)
2020-2024
Intelligent Medical Objects (United States)
2024
Hong Kong Sanatorium and Hospital
2024
Albert Einstein College of Medicine
2015-2022
Abstract Objectives We aim to build a generalizable information extraction system leveraging large language models extract granular eligibility criteria for diverse diseases from free text clinical trial protocol documents. investigate the model’s capability entities along with contextual attributes including values, temporality, and modifiers present strengths limitations of this system. Materials Methods The data were acquired https://ClinicalTrials.gov/. developed system, AutoCriteria,...
Abstract Background Immune checkpoint inhibitors (ICIs) have been incorporated into various clinical oncology guidelines for systemic treatment of advanced non-small cell lung cancers (aNSCLC). However, less than 50% (and 20%) the patients responded to therapy as a first (or second) line therapy. PD-L1 immunohistochemistry (IHC) is an extensively studied biomarker response ICI, but results from this test equivocal predictive power. In order identify other biomarkers that support...
Background Clinical trials are vital for developing new therapies but can also delay drug development. Efficient trial data management, optimized protocol, and accurate patient identification critical reducing timelines. Natural language processing (NLP) has the potential to achieve these objectives. Objective This study aims assess feasibility of using data-driven approaches optimize clinical protocol design identify eligible patients. involves creating a comprehensive eligibility criteria...
Understanding the dementia disease trajectory and clinical practice patterns in outpatient settings is vital for effective management. Knowledge about path from initial memory loss complaints to diagnosis remains limited. This study aims (1) determine time intervals between care, (2) assess proportion of patients receiving cognition-enhancing medication prior diagnosis, (3) identify patient provider characteristics that influence prescription medication. retrospective cohort used a large...
Racial disparities among clinical trial participants present a challenge to assess whether results can be generalized into patients representing diverse races and ethnicities. The objective of this study was evaluate the impact race ethnicity on treatment response in with advanced non-small cell lung cancer (aNSCLC) treated programmed death-1 (PD-1) or death-ligand 1 (PD-L1) inhibitors through analysis real-world data (RWD).A retrospective cohort 11,138 at hospitals within Mount Sinai Health...
Inflammation predisposes to tumorigenesis in various organs by potentiating a susceptibility genetic aberrations. The mechanism underlying the enhanced instability through chronic inflammation, however, is not clear. Here, we demonstrated that TNFα stimulation induced transcriptional downregulation of MSH2, member mismatch repair family, via NF-κB-dependent miR-21 expression hepatocytes. Liver cancers developed ALB-MSH2(-) (/) (-)AID(+), (-), and ALB-AID(+) mice, which MSH2 deficient and/or...
DNA damage response pathways rely extensively on nuclease activity to process intermediates. Exonuclease 1 (EXO1) is a pleiotropic evolutionary conserved exonuclease involved in various repair pathways, replication, antibody diversification, and meiosis. But, whether EXO1 facilitates these metabolic processes through its enzymatic or scaffolding functions remains unclear. Here, we dissect the contribution of versus by comparing Exo1DA/DA mice expressing proven nuclease-dead mutant form...
ABSTRACT Background Initial insights into oncology clinical trial outcomes are often gleaned manually from conference abstracts. We aimed to develop an automated system extract safety and efficacy information study abstracts with high precision fine granularity, transforming them computable data for timely decision-making. Methods collected key conferences PubMed (2012-2023). The SEETrials was developed four modules: preprocessing, prompt modeling, knowledge ingestion postprocessing....
7568 Background: Conference abstracts serve as pivotal sources for sharing initial clinical trial findings, and influencing decisions.Yet, concerns persist regarding the impact of unpublished conference on ultimate conclusions potential inconsistency in result reporting. We aim to assess feasibility large-scale analysis, examining consistency between results subsequent reporting published articles, specifically focusing treatment efficacy safety oncology trials using a large language model...
Initial insights into oncology clinical trial outcomes are often gleaned manually from conference abstracts. We aimed to develop an automated system extract safety and efficacy information study abstracts with high precision fine granularity, transforming them computable data for timely decision-making.
Ground-glass opacities (GGOs) appearing in computed tomography (CT) scans may indicate potential lung malignancy. Proper management of GGOs based on their features can prevent the development cancer. Electronic health records are rich sources information GGO nodules and granular features, but most valuable is embedded unstructured clinical notes.
<h3>Background:</h3> Current ultrasound (US) courses focus on the correct and accurate acquisition of images identification scoring abnormalities rather than how these imaging findings are used in clinical decision making. APLAR Academy considered a new approach to learning through use different scenarios pre- post- test probability models. Point care rheumatology (POCRUS) as sensitive specific prediction tool has gained ground with EULAR recommendations for large vessel vasculitis (LVV)...
<sec> <title>BACKGROUND</title> Understanding the dementia disease trajectory and clinical practice patterns in outpatient settings is vital for effective management. Knowledge about path from initial memory loss complaints to diagnosis remains limited </sec> <title>OBJECTIVE</title> This study aims 1) determine time intervals between care, 2) assess proportion of patients receiving cognition-enhancing medication prior diagnosis, 3) identify patient provider characteristics that influence...
The increased adoption of electronic health record systems has led to boons for downstream analyses within the clinical domain. identification relevant patient data focal remains a key challenge. In this study, we applied sequential model-based global optimization towards tuning hyperparameters latent Dirichlet allocation, standard topic modeling technique. We showcase physician notes specific chronic lymphocytic leukemia treatment as generalizable use-case. Using each identified component...
e13563 Background: Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous disease with multiple phenotypes and endotypes associated lung cancer development. In this study, we analyzed the clinical features of COPD including various phenotypic endotypic from electronic health records (EHR) as potential risk factors for development in large cohort patients. Methods: We identified based on Medical Records Genomics (eMERGE) network identification algorithms minor modifications Mount...
e19512 Background: Targeted therapy is an important treatment for chronic lymphocytic leukemia (CLL). However, optimal strategies deploying small molecule inhibitors or antibody therapies in the real world are not well understood, largely due to a lack of outcomes data. We implemented novel temporal phenotyping algorithm pipeline derive lines (LOT) and disease progression CLL patients. Here, pattern time next (TTNT) were analyzed real-world data (RWD) using patient electronic health records....
ABSTRACT DNA damage response pathways rely extensively on nuclease activity to process intermediates. Exonuclease 1 (EXO1) is a pleiotropic evolutionary conserved exonuclease involved in various repair pathways, replication, antibody diversification, and meiosis. But, whether EXO1 facilitates these metabolic processes through its enzymatic or scaffolding functions remains unclear. Here we dissect the contribution of versus by comparing Exo1 DA/DA mice expressing proven nuclease-dead mutant...
<p>This file has methods used in the study addition to described manuscript.</p>
<p>Supplemental Figures contains supplementary figures S1-S13. Supplementary Figure S1. The effect of MSH2 deficiency on cell sensitivity to baicalein. S2. Baicalein-treated HEC59 cells are deficient in CHK2-regulated S phase checkpoint arrest. S3. Baicalein disrupts the interaction between MutSα and CHK2-ATM. S4. binds MutSα. S5. intercalates DNA but does not form crosslinks. S6. XPF reduces baicalein-induced γ-H2AX rescues death HT29 MSH2-deficient cells. S7. pellets reduce size...
<p>This file has detail figure legends for supplementary figures.</p>