A5018251985- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Ferroptosis and cancer prognosis
- Lung Cancer Treatments and Mutations
- RNA modifications and cancer
- Cancer Immunotherapy and Biomarkers
- Crystallization and Solubility Studies
- Crystal structures of chemical compounds
- Crystallography and molecular interactions
- X-ray Diffraction in Crystallography
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Lung Cancer Research Studies
- Medical Imaging and Pathology Studies
- Advanced biosensing and bioanalysis techniques
- COVID-19 diagnosis using AI
- Bioinformatics and Genomic Networks
- Single-cell and spatial transcriptomics
- Global Cancer Incidence and Screening
- Synthesis and biological activity
- Microfluidic and Capillary Electrophoresis Applications
- Artificial Intelligence in Healthcare and Education
- Photoacoustic and Ultrasonic Imaging
- Colorectal Cancer Screening and Detection
- Body Composition Measurement Techniques
Vanderbilt University Medical Center
2020-2025
Vanderbilt University
2014-2025
Centre de Recherche en Cancérologie de Toulouse
2024
Inserm
2024
University of Pittsburgh
2024
Centre National de la Recherche Scientifique
2024
Université Toulouse III - Paul Sabatier
2024
Université de Toulouse
2024
Samueli Institute
2023
RELX Group (United States)
2023
Rationale: Patients with indeterminate pulmonary nodules (IPNs) at risk of cancer undergo high rates invasive, costly, and morbid procedures. Objectives: To train externally validate a prediction model that combined clinical, blood, imaging biomarkers to improve the noninvasive management IPNs. Methods: In this prospectively collected, retrospective blinded evaluation study, probability was calculated for 456 patient using Mayo Clinic model, patients were categorized into low-,...
“Just Accepted” papers have undergone full peer review and been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, proof before it is published its final version. Please note that during production of the copyedited article, errors may be discovered which could affect content. Purpose To evaluate performance eight lung cancer prediction models on patient cohorts with screening-detected, incidentally-detected,...
Abstract Background: The heterogeneous biology of cancer subtypes, especially in lung cancer, poses significant challenges for biomarker development. Standard model building techniques often fall short accurately incorporating various histologic subtypes because their diverse biological characteristics. This study explores a nested to address this issue, aiming improve early detection. Methods: included 337 patients from two clinical sites. Blood biomarkers were analyzed and statistical...
Refractive index (RI) is a fundamental optical property widely used to investigate the physical and chemical characteristics of materials. Here, we build on our previous work refine framework for RI sensing in solution-phase biochemical interactions. Starting from Clausius–Mossotti relation, present first-principles derivation relationship signal resulting binding. We then demonstrate how binding-induced conformational hydration changes interacting species relate their estimated change...
Abstract Studies show CYFRA 21-1 fragments of cytokeratin 19 (CK19) to be promising biomarkers for non-small cell lung cancer (NSCLC). Although previous literature identifies specific antibody binding epitopes, the exact molecular weight CK19 fragment being detected by current assays is not well-documented. It believed that during apoptosis, cleaved caspases and resulting are released into serum. A proposed caspase cleavage site located between amino acids 235 238 its sequence. Upon...
Aptamers are segments of single-strand DNA or RNA used in a wide array applications, including sensors, therapeutics, and cellular process regulators. can bind many target species, proteins, peptides, small molecules (SM) with high affinity specificity. They advantageous because they be identified vitro by SELEX, produced rapidly relatively economically using oligonucleotide synthesis. The use aptamers as SM probes has experienced recent rebirth, their unique properties represent an...
Interaction/reaction assays have led to significant scientific discoveries in the biochemical, medical, and chemical disciplines. Several fundamental driving forces form basis of intermolecular intramolecular interactions biochemical systems (London dispersion, hydrogen bonding, hydrophobic, electrostatic), past three decades sophistication power techniques interrogate these processes has developed at an unprecedented rate. In particular, label-free methods flourished, such as NMR, mass...
Abstract A deep learning model (LCP CNN) for the stratification of indeterminate pulmonary nodules (IPNs) demonstrated better discrimination than commonly used clinical prediction models. However, LCP CNN score is based on a single timepoint that ignores longitudinal information when prior imaging studies are available. Clinically, IPNs often followed over time and temporal trends in nodule size or morphology inform management. In this study we investigated whether change scores was...
Diagnosis of lung cancer patients with indeterminate pulmonary nodules (IPNs) presents a significant clinical challenge, morbidity and management costs $28 billion/year. We show that quantitative free-solution assay (FSA), coupled compensated interferometric reader (CIR), improves the diagnostic performance CYFRA 21–1 as biomarker. FSA-CIR is rapid, mix-and-read, isothermal, label- enzyme-free, matrix-insensitive, target probe-agnostic assay. Operating at ∼40, 0.75 μL samples/day delivered...
Taylor dispersion analysis (TDA) allows the determination of molecular diffusion coefficient (D) or hydrodynamic radius (Rh) a solute from peak broadening plug in laminar Poiseuille flow. The main limitation plaguing broader applicability TDA is lack sensitive detection modality. UV absorption typically used with but only suitable for UV-absorbing derivatized compounds. In this work, we present development method non-UV absorbing compounds by using universal detector based on refractive...
The opioid epidemic continues in the United States. Many have been impacted by this epidemic, including neonates who exhibit Neonatal Abstinence Syndrome (NAS). Opioid diagnosis and NAS can be negatively limited testing options outside hospital, due to poor assay performance, false-negatives, rapid drug clearance rates, difficulty obtaining enough specimen for testing. Here we report a small volume urine oxycodone, hydrocodone, fentanyl, noroxycodone, norhydrocodone, norfentanyl with...
Native interactions between lysophospholipids (LPs) and their cognate LP receptors are difficult to measure because of lipophilicity and/or the adhesive properties lipids, which contribute high levels nonspecific binding in cell membrane preparations. Here, we report development a free-solution assay (FSA) where label-free LPs bind G protein-coupled (GPCRs), combined with recently reported compensated interferometric reader (CIR) quantify native ligands. As test case, parameters...
Lung adenocarcinoma (LUAD) is the predominant type of lung cancer in U.S. and exhibits a broad variety behaviors ranging from indolent to aggressive. Identification biological determinants LUAD behavior at early stages can improve existing diagnostic treatment strategies. Extracellular matrix (ECM) remodeling cancer-associated fibroblasts play crucial role regulation aggressiveness there growing need investigate their determination stages. We analyzed tissue samples isolated patients with...
Here we report an improved interferometric sensing approach that facilitates high sensitivity nanovolume refractive index (RI) measurements and molecular interaction assays without a temperature controller. The compensated backscattering interferometer (CBSI) is based on helium–neon (He–Ne) laser, microfluidic chip, CCD array. CBSI enables simultaneous differential RI within nanoliter volumes, at compensation level of ca. 5 × 10–8 RIU in the presence large thermal perturbations (8 °C). This...
Lung cancer is the deadliest in United States and worldwide, lung adenocarcinoma (LUAD) most prevalent histologic subtype States. LUAD exhibits a wide range of aggressiveness risk recurrence, but biological underpinnings this behavior are poorly understood. Past studies have focused on characteristics tumor itself, ability immune response to contain growth represents an alternative or complementary hypothesis. Emerging technologies enable us investigate spatial distribution specific cell...