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| http://dx.doi.org/10.1152/ajplung.00435.2021 | DOI Listing |
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Getting ready for prime time: Recommended adaptations of an Empathic Communication Skills training intervention to reduce lung cancer stigma for a national multi-center trial.
Transl Behav Med
September 2023
Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Building upon prior work developing and pilot testing a provider-focused Empathic Communication Skills (ECS) training intervention, this study sought feedback from key invested partners who work with individuals with lung cancer (i.e. stakeholders including scientific and clinical advisors and patient advocates) on the ECS training intervention.
View Article and Find Full Text PDFMulti-head deep learning framework for pulmonary disease detection and severity scoring with modified progressive learning.
Biomed Signal Process Control
August 2023
Resident Radiologist, Pakistan Institute of Medical Sciences, Islamabad, Pakistan.
Article Synopsis
- Chest X-rays (CXR) are vital for diagnosing lung diseases, with nearly 2 billion CXRs performed yearly, especially important during the COVID-19 pandemic and for conditions like pneumonia and tuberculosis.
- The article proposes a new framework that classifies lung diseases and evaluates their severity by dividing the lungs into six regions and using a modified learning technique for better accuracy.
- Results show impressive performance on the BRAX validation data set, achieving high F1 scores and effectiveness in severity grading, demonstrating the framework's potential to assist radiologists in improving diagnoses.
Tweaking lung inflammation in COPD: the "mirky" ways of miRNAs.
Am J Physiol Lung Cell Mol Physiol
December 2021
Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona.
Integrating soft and hard dose-volume constraints into hierarchical constrained IMRT optimization.
Med Phys
February 2020
Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Purpose: Dose-volume constraints (DVCs) continue to be common features in intensity-modulated radiation therapy (IMRT) prescriptions, but they are non-convex and difficult to incorporate. We propose computationally efficient methods to incorporate dose-volume constraints (DVCs) into automated IMRT planning.
Methods: We propose a two-phase approach: in phase-1, we solve a convex approximation with DVCs.
The interaction of dendrimer-doxorubicin conjugates with a model pulmonary epithelium and their cosolvent-free, pseudo-solution formulations in pressurized metered-dose inhalers.
Eur J Pharm Sci
November 2017
Department of Chemical Engineering and Materials Science, College of Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI 48202, United States; Department of Pharmaceutics, College of Pharmacy, Department of Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA 23298, United States. Electronic address:
Oral inhalation (OI) of nano-chemotherapeutics holds great potentials in the treatment of lung cancers as it enables direct targeting of drugs to lung tissues, spatial and temporal control of drug release, and decrease in drug-associated systemic and local lung toxicity. Therefore, the design of chemistry of the nanocarriers and their OI formulations for chemotherapeutics delivery to the peripheral lungs and extrapulmonary tissues of relevance such as lymph nodes, may thus afford new opportunities for treating such relevant diseases. In this work we investigated the effect of polyethylene glycol 1000Da (PEG1000) density and doxorubicin (DOX) payload on the interaction of poly(amidoamine) dendrimer (PAMAM) with an in vitro pulmonary epithelium model (Calu-3).
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