Gregory Madden | Infectious Diseases | Best Researcher Award

Posted on by Academic achievements

Dr. Gregory Madden | Infectious Diseases | Best Researcher Award

Assistant Professor |University of Virginia | United States

Short Bio 🌍

Gregory Russell Madden is an Assistant Professor specializing in Infectious Diseases at the University of Virginia (UVA). His research focuses on hospital epidemiology and infectious disease management, with a particular emphasis on Clostridioides difficile infection. Dr. Madden is renowned for his work in diagnostic stewardship and immune profiling, aiming to improve patient outcomes through innovative research and clinical practice.

Profile

ORCID

Education 📚

Dr. Madden completed his undergraduate studies at the University of Delaware, earning a B.A. in Biology & Biochemistry in June 2008. He subsequently obtained his Doctor of Medicine (M.D.) from the University of Virginia in June 2012. Following this, he pursued residency training in Internal Medicine at Yale University and completed a fellowship in Infectious Diseases at the University of Virginia, where he also obtained a Master’s degree in Data Science in August 2023.

Experience 💼

As an Assistant Professor at UVA, Dr. Madden has been actively involved in clinical research and teaching. He has served as a hospitalist and instructor in Medicine at Beth Israel Deaconess Medical Center, Boston, and has held key roles in various committees and advisory boards focused on infection control and epidemiology. His expertise spans clinical diagnostics, antimicrobial resistance, and the application of data science in healthcare settings.

Research Interest 🔬

Dr. Madden’s research interests revolve around understanding and mitigating healthcare-associated infections, particularly C. difficile infection. He has pioneered the use of diagnostic stewardship algorithms and immune profiling to predict infection outcomes, aiming to personalize treatment strategies and improve patient care. His work has been instrumental in advancing our understanding of pathogen-host interactions and developing targeted interventions.

Award 🏆

In July 2021, Dr. Madden was awarded a prestigious K23 Mentored Career Development Award for his project titled ‘Immune profiling to stratify Clostridioides difficile infection outcomes’. This award recognizes his significant contributions to the field of infectious diseases and underscores his commitment to translational research that bridges basic science with clinical practice.

Publication 📝

Gregory Russell Madden has authored numerous influential publications, including:

  • Madden GR, German Mesner I, Cox HL, et al. Reduced Clostridium difficile Tests and Laboratory-Identified Events with a Computerized Clinical Decision Support Tool and Financial Incentive. Infect Control Hosp Epidemiol. 2018 Jun;39(6):737–40. [PMC6088779]
  • Madden GR, Enfield KB, Sifri CD. Patient Outcomes Associated with Prevented versus Negative Clostridium difficile Tests Using Computerized Clinical Decision Support (CCDS). Open Forum Infect Dis. 2020 Mar 18;7(4):1-8. [PMC7166115]
  • Abhyankar MM, Ma JZ, Scully KW, et al. Immune Profiling To Predict Outcome of Clostridioides difficile Infection. mBio. 2020 May 26;11(3)

    . [PMC7251209]

These publications reflect Dr. Madden’s commitment to advancing knowledge in infectious diseases and his impact on clinical practice.

 

Sashikanta Prusty – Cancer Classification and Prediction- Best Researcher  – Award Winner 2023

Posted on by Academic achievements
Congratulations to Sashikanta Prusty – Cancer Classification and Prediction- Best Researcher  – Award Winner 2023

Sashikanta Prusty

Sashikanta Prusty is dedicated to the development and implementation of new technology tools and applications in healthcare, with a focus on employing adaptive deep learning/machine learning strategies for effective disease diagnosis to prevent unnecessary deaths.

professional profile:

Professional Endeavors

  • Industry Experience: 03 years
  • Teaching Experience: 04 years
  • Research Experience: 3 years

Contributions and Research Focus

Sashikanta Prusty has an extensive research focus in the field of healthcare technology, particularly in the development and implementation of new technology tools and applications. His primary research areas include:

  • Deep Learning/Machine Learning Strategies: Applied for disease diagnosis to prevent unnecessary deaths.
  • Meta-Learning Algorithm: Used in the development of SEMeL-LR for breast cancer classification.
  • Integrated Machine Learning-Fuzzy and Dimension Reduction Techniques: Applied for breast cancer prediction.
  • Transfer Learning Techniques: Developed a novel technique for detecting breast cancer mammograms using VGG16 bottleneck features.

Accolades and Recognition

  • Published Papers in Journals:
    1. SEMeL-LR: An improvised modeling approach using a meta-learning algorithm to classify breast cancer.
    2. Prediction of Breast cancer using integrated machine learning-fuzzy and dimension reduction techniques.
    3. SKCV: Stratified K-fold Cross-Validation on ML Classifiers for Predicting Cervical Cancer.
    4. Comparative analysis and prediction of coronary heart disease.
    5. A Novel Transfer Learning Technique for Detecting Breast Cancer Mammograms Using VGG16 Bottleneck Feature.
    6. Smart City E-Governance Through Intelligent ICT Framework.
    7. Integrating Adam Optimizer to Enhance Efficiency of Transfer Learning Model for Diagnosing Cancers.
    8. Internet of Things brings Revolution in eHealth: Achievements and Challenges.
    9. Designing a Pipeline for Predicting Power Grid Stability with Artificial Neural Network (ANN).
    10. Impact of COVID-19 on Breast Cancer Screening Program (BCSP) in India.
    11. Application of Artificial Intelligence in Fuzzy Logic for Crop Management in Agriculture.
  • Conference Contributions:
    • Presented papers in various international conferences, such as APSIT, DASA, ICIDeA, MLCSS, and ODICON.

Impact and Influence

Sashikanta Prusty has contributed significantly to the field of healthcare technology, specifically in the development of machine learning models for disease diagnosis. His work has been published in reputable journals and presented at international conferences, indicating a positive impact on the academic and research community.

Legacy and Future Contributions

While the provided information does not explicitly mention the legacy, Sashikanta Prusty’s continuous involvement in research and academia suggests a commitment to making further contributions in the field of healthcare technology, machine learning, and data analysis.

Notable Publication

Smart City E-Governance Through Intelligent ICT Framework. 31 January 2022

Time Series Analysis of SAR-Cov-2 Virus in India Using Facebook’s Prophet. 

SEMeL-LR: An improvised modeling approach using a meta-learning algorithm to classify breast cancer.  March 2024, 107630

Prediction of Breast cancer using integrated machine learning-fuzzy and dimension reduction techniques. 02 July 2023 1633-1652, 2023